{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T02:17:33Z","timestamp":1778206653093,"version":"3.51.4"},"reference-count":270,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2023,4,19]],"date-time":"2023-04-19T00:00:00Z","timestamp":1681862400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The development of Industry 4.0 (I4.0) and the digitization and automation of manufacturing processes have created a demand for designing smart warehouses to support manufacturing processes. Warehousing is one of the fundamental processes in the supply chain, and is responsible for handling inventory. Efficient execution of warehouse operations often determines the effectiveness of realized goods flows. Therefore, digitization and its use in exchanging information between partners, especially real-time inventory levels, is critical. For this reason, the digital solutions of Industry 4.0 have quickly found application in internal logistics processes and enabled the design of smart warehouses, also known as Warehouse 4.0. The purpose of this article is to present the results of the conducted review of publications on the design and operation of warehouses using the concepts of Industry 4.0. A total of 249 documents from the last 5 years were accepted for analysis. Publications were searched for in the Web of Science database using the PRISMA method. The article presents in detail the research methodology and the results of the biometric analysis. Based on the results, a two-level classification framework was proposed, which includes 10 primary categories and 24 subcategories. Each of the distinguished categories was characterized based on the analyzed publications. It should be noted that in most of these studies, the authors\u2019 attention primarily focused on the implementation of (1) Industry 4.0 technological solutions, such as IoT, augmented reality, RFID, visual technology, and other emerging technologies; and (2) autonomous and automated vehicles in warehouse operations processes. Critical analysis of the literature also allowed us to identify the current research gaps, which will be the subject of further research by the authors.<\/jats:p>","DOI":"10.3390\/s23084105","type":"journal-article","created":{"date-parts":[[2023,4,20]],"date-time":"2023-04-20T02:01:11Z","timestamp":1681956071000},"page":"4105","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":81,"title":["Intelligent Warehouse in Industry 4.0\u2014Systematic Literature Review"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2993-036X","authenticated-orcid":false,"given":"Agnieszka A.","family":"Tubis","sequence":"first","affiliation":[{"name":"Faculty of Mechanical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2264-9578","authenticated-orcid":false,"given":"Juni","family":"Rohman","sequence":"additional","affiliation":[{"name":"Faculty of Mechanical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"100069","DOI":"10.1016\/j.sftr.2022.100069","article-title":"Warehousing 4.0: A Proposed System of Using Node-Red for Applying Internet of Things in Warehousing","volume":"4","author":"Hamdy","year":"2022","journal-title":"Sustain. Futur."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.protcy.2013.12.194","article-title":"Information Sharing in Supply Chain Management","volume":"11","author":"Lotfi","year":"2013","journal-title":"Procedia Technol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.emj.2022.01.001","article-title":"Industrial Digitalization. A Systematic Literature Review and Research Agenda","volume":"41","author":"Matt","year":"2022","journal-title":"Eur. Manag. J."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1007\/s12599-017-0484-2","article-title":"Digitalization: Opportunity and Challenge for the Business and Information Systems Engineering Community","volume":"59","author":"Legner","year":"2017","journal-title":"Bus. Inf. Syst. Eng."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1007\/s10257-022-00558-3","article-title":"Developing a Digital Transformation Process in the Manufacturing Sector: Egyptian Case Study","volume":"20","author":"Abdallah","year":"2022","journal-title":"Inf. Syst. e-Bus. Manag."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Chen, C.-L., Lin, Y.-C., Chen, W.-H., Chao, C.-F., and Pandia, H. (2021). Role of Government to Enhance Digital Transformation in Small Service Business. Sustainability, 13.","DOI":"10.3390\/su13031028"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Park, A., and Li, H. (2021). The Effect of Blockchain Technology on Supply Chain Sustainability Performances. Sustainability, 13.","DOI":"10.3390\/su13041726"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"10515","DOI":"10.1007\/s00521-021-05809-x","article-title":"An Integrated Interval Type 2 Fuzzy AHP and COPRAS-G Methodologies for Supplier Selection in the Era of Industry 4.0","volume":"33","author":"Kaya","year":"2021","journal-title":"Neural Comput. Appl."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1007\/s40436-017-0200-y","article-title":"The Fit of Industry 4.0 Applications in Manufacturing Logistics: A Multiple Case Study","volume":"5","author":"Strandhagen","year":"2017","journal-title":"Adv. Manuf."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1016\/j.trpro.2019.06.055","article-title":"Identifying Key Performance Indicators to be used in Logistics 4.0 and Industry 4.0 for the needs of sustainable municipal logistics by means of the DEMATEL method","volume":"39","author":"Torbacki","year":"2019","journal-title":"Transp. Res. Procedia"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1265","DOI":"10.1080\/00207543.2011.571922","article-title":"A Framework for the Role of Warehousing in Reverse Logistics","volume":"50","author":"Dowlatshahi","year":"2012","journal-title":"Int. J. Prod. Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"4264","DOI":"10.17973\/MMSJ.2021_03_2020073","article-title":"A Framework for a Logistics 4.0 Maturity Model with a Specification for Internal Logistics","volume":"2021","author":"Zoubek","year":"2021","journal-title":"MM Sci. J."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Khan, M.G., Huda, N.U., and Zaman, U.K.U. (2022). Smart Warehouse Management System: Architecture, Real-Time Implementation and Prototype Design. Machines, 10.","DOI":"10.3390\/machines10020150"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1111\/1467-8551.00375","article-title":"Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review","volume":"14","author":"Tranfield","year":"2003","journal-title":"Br. J. Manag."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1186\/2193-1801-3-511","article-title":"Viewing Systematic Reviews and Meta-Analysis in Social Research through Different Lenses","volume":"3","author":"Davis","year":"2014","journal-title":"Springerplus"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"878","DOI":"10.1016\/j.nedt.2012.02.022","article-title":"A Structured Approach to Documenting a Search Strategy for Publication: A 12 Step Guideline for Authors","volume":"32","author":"Kable","year":"2012","journal-title":"Nurse Educ. Today"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1016\/j.jbusres.2019.07.039","article-title":"Literature Review as a Research Methodology: An Overview and Guidelines","volume":"104","author":"Snyder","year":"2019","journal-title":"J. Bus. Res."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"b2535","DOI":"10.1136\/bmj.b2535","article-title":"Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement","volume":"339","author":"Moher","year":"2009","journal-title":"BMJ"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1108\/09600031111101420","article-title":"Sustainable Supply Chain Management: Evolution and Future Directions","volume":"41","author":"Carter","year":"2011","journal-title":"Int. J. Phys. Distrib. Logist. Manag."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.1007\/s11277-017-5199-7","article-title":"Design of Intelligent Warehouse Management System","volume":"102","author":"Mao","year":"2018","journal-title":"Wirel. Pers. Commun."},{"key":"ref_21","unstructured":"Sharma, S., Deepika, D., and Singh, G. (2021, January 3). Intelligent Warehouse Stocking Using Machine Learning. Proceedings of the 2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkur, India."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"103343","DOI":"10.1016\/j.compind.2020.103343","article-title":"Design of a Reference Architecture for Developing Smart Warehouses in Industry 4.0","volume":"124","author":"Tekinerdogan","year":"2021","journal-title":"Comput. Ind."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"363","DOI":"10.17270\/J.LOG.2019.354","article-title":"Striving for Excellence in AI Implementation: AI Maturity Model Framework and Preliminary Research Results","volume":"15","author":"Ellefsen","year":"2019","journal-title":"Logforum"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1965459","DOI":"10.1080\/23311975.2021.1965459","article-title":"Exploratory Research on Digitalization Transformation Practices within Supply Chain Management Context in Developing Countries Specifically Egypt in the MENA Region","volume":"8","author":"Khalifa","year":"2021","journal-title":"Cogent Bus. Manag."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"56","DOI":"10.30657\/pea.2022.28.07","article-title":"Analysis of the Use of Artificial Intelligence in the Management of Industry 4.0 Projects. The Perspective of Polish Industry","volume":"28","author":"Wachnik","year":"2022","journal-title":"Prod. Eng. Arch."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"133","DOI":"10.22306\/al.v8i2.212","article-title":"Possibilities of Using Augmented Reality in Warehouse Management: A Study","volume":"8","year":"2021","journal-title":"Acta Logist."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1016\/j.ifacol.2022.09.408","article-title":"Augmented Reality in Logistics 4.0: Implications for the Human Work","volume":"55","author":"Lagorio","year":"2022","journal-title":"IFAC-PapersOnLine"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1629","DOI":"10.1016\/j.promfg.2020.10.227","article-title":"Augmented Reality in Manufacturing and Logistics: Lessons Learnt from a Real-Life Industrial Application","volume":"51","author":"Plakas","year":"2020","journal-title":"Procedia Manuf."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Sidiropoulos, V., Bechtsis, D., and Vlachos, D. (2021). An Augmented Reality Symbiosis Software Tool for Sustainable Logistics Activities. Sustainability, 13.","DOI":"10.3390\/su131910929"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Brunetti, D., Gena, C., and Vernero, F. (2022). Smart Interactive Technologies in the Human-Centric Factory 5.0: A Survey. Appl. Sci., 12.","DOI":"10.3390\/app12167965"},{"key":"ref_31","unstructured":"Doman\u015bki, R. (2019, January 10\u201311). Logistics 4.0 in Warehousing\u2014Current State and Trends. Proceedings of the 19th international Scientific Conference Business Logistics in Modern Management, Osijek, Croatia."},{"key":"ref_32","unstructured":"Ilin, V., Simi\u0107, D., and Sauli\u0107, N. (2019, January 23\u201325). Logistics Industry 4.0: Challenges and Opportunities. Proceedings of the 4th Logistics International Conference, Belgrade, Serbia."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Jagtap, S., Bader, F., Garcia-Garcia, G., Trollman, H., Fadiji, T., and Salonitis, K. (2020). Food Logistics 4.0: Opportunities and Challenges. Logistics, 5.","DOI":"10.3390\/logistics5010002"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1108\/IJLM-02-2022-0068","article-title":"Logistics 4.0 in Warehousing: A Conceptual Framework of Influencing Factors, Benefits and Barriers","volume":"33","author":"Perotti","year":"2022","journal-title":"Int. J. Logist. Manag."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"227","DOI":"10.17270\/J.LOG.2022.702","article-title":"The Smart Warehouse Trend: Actual Level of Technology Availability","volume":"18","year":"2022","journal-title":"Logforum"},{"key":"ref_36","unstructured":"El Kho, F.Z., and Aknin, N. (2020). Advanced Intelligent Systems for Sustainable Development (AI2SD\u20192019) Volume 6\u2014Advanced Intelligent Systems for Networks and Systems, Springer."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Ponis, S.T., and Efthymiou, O.K. (2020). Cloud and IoT Applications in Material Handling Automation and Intralogistics. Logistics, 4.","DOI":"10.3390\/logistics4030022"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Rejeb, A., Keogh, J.G., and Treiblmaier, H. (2019). Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management. Futur. Internet, 11.","DOI":"10.3390\/fi11070161"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Fatima, Z., Tanveer, M.H., Zardari, S., Naz, L.F., Khadim, H., Ahmed, N., and Tahir, M. (2022). Production Plant and Warehouse Automation with IoT and Industry 5.0. Appl. Sci., 12.","DOI":"10.3390\/app12042053"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"5089","DOI":"10.1016\/j.matpr.2021.01.585","article-title":"Improving Material Quality Management and Manufacturing Organizations System through Industry 4.0 Technologies","volume":"45","author":"Ammar","year":"2021","journal-title":"Mater. Today Proc."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"371","DOI":"10.17270\/J.LOG.2018.290","article-title":"Comparison of Time-Oriented Methods to Check Manufacturing Activities and an Examination of Their Efficiency","volume":"14","author":"Erdei","year":"2018","journal-title":"Logforum"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Vlachos, I., Pascazzi, R.M., Ntotis, M., Spanaki, K., Despoudi, S., and Repoussis, P. (2022). Smart and Flexible Manufacturing Systems Using Autonomous Guided Vehicles (AGVs) and the Internet of Things (IoT). Int. J. Prod. Res., 1\u201322.","DOI":"10.1080\/00207543.2022.2136282"},{"key":"ref_43","unstructured":"Cinar, Z.M., and Zeeshan, Q. (2022). Industrial Engineering in the Internet-of-Things World: Selected Papers from the Virtual Global Joint Conference on Industrial Engineering and Its Application Areas, GJCIE 2020, 14\u201315 August 2020, Springer."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Edouard, A., Sallez, Y., Fortineau, V., Lamouri, S., and Berger, A. (2022). Automated Storage and Retrieval Systems: An Attractive Solution for an Urban Warehouse\u2019s Sustainable Development. Sustainability, 14.","DOI":"10.3390\/su14159518"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Pahl, J. (October, January 30). Integrated Production Lot Size and Distribution Planning with Shared Warehouses. Proceedings of the Computational Logistics: 10th International Conference, ICCL 2019, Barranquilla, Colombia.","DOI":"10.1007\/978-3-030-31140-7_21"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"2075","DOI":"10.1108\/BIJ-08-2020-0461","article-title":"Digital Supply Chain to Unlock New Agility: A TISM Approach","volume":"28","author":"Choudhury","year":"2021","journal-title":"Benchmarking Int. J."},{"key":"ref_47","first-page":"928","article-title":"Supply Chain Management Concept and Digital Economy: Digital Supply Chain Technological Innovation","volume":"17","author":"Chupanova","year":"2021","journal-title":"Indian J. Econ. Dev."},{"key":"ref_48","unstructured":"Henao-Hern\u00e1ndez, I., Mu\u00f1oz-Villamizar, A., and Solano-Charris, E.L. (2021). Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future: Proceedings of SOHOMA LATIN AMERICA 2021, Springer."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Nguyen, V.T.T., and Nguyen, T.T.T. (2019, January 6\u20137). Supply Chain Management Toward Industry 4.0: A Literature Review. Proceedings of the DOKBAT 2019\u201415th International Bata Conference for Ph.D. Students and Young Researchers, Zl\u00edn, Czech Republic.","DOI":"10.7441\/dokbat.2019.078"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1636","DOI":"10.1016\/j.promfg.2020.10.228","article-title":"Discrete Event Simulation and Digital Twins: Review and Challenges for Logistics","volume":"51","author":"Agalianos","year":"2020","journal-title":"Procedia Manuf."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1","DOI":"10.14488\/BJOPM.2021.011","article-title":"The Effect of Islands of Improvement on the Maturity Models for Industry 4.0: The Implementation of an Inventory Management System in a Beverage Factory","volume":"18","author":"Dantas","year":"2021","journal-title":"Braz. J. Oper. Prod. Manag."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Behera, S., Panigrahi, B., Rath, H.K., and Pal, A. (2018, January 29). Wireless Characteristics Study for Indoor Multi-Robot Communication System. Proceedings of the 1st Workshop on Complex Networked Systems for Smart Infrastructure, New Delhi, India.","DOI":"10.1145\/3265997.3265999"},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Dobos, P., Cserven\u00e1k, \u00c1., Skapinyecz, R., Ill\u00e9s, B., and Tam\u00e1s, P. (2021). Development of an Industry 4.0-Based Analytical Method for the Value Stream Centered Optimization of Demand-Driven Warehousing Systems. Sustainability, 13.","DOI":"10.3390\/su132111914"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1080\/00207543.2021.2002969","article-title":"5G in Digital Supply Chain and Operations Management: Fostering Flexibility, End-to-End Connectivity and Real-Time Visibility through Internet-of-Everything","volume":"60","author":"Dolgui","year":"2022","journal-title":"Int. J. Prod. Res."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"El Hamdi, S., and Abouabdellah, A. (2022). Logistics: Impact of Industry 4.0. Appl. Sci., 12.","DOI":"10.3390\/app12094209"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"27","DOI":"10.17993\/3ctecno.2020.specialissue5.27-45","article-title":"Automated Logistic Systems: Needs and Implementation","volume":"2020","author":"Ezzy","year":"2020","journal-title":"3C Tecnol. Innov. Apl. Pyme"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1016\/j.procs.2021.01.260","article-title":"The Role of Industry 4.0 Enabling Technologies for Safety Management: A Systematic Literature Review","volume":"180","author":"Forcina","year":"2021","journal-title":"Procedia Comput. Sci."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"3691","DOI":"10.1007\/s00170-019-03785-0","article-title":"Production Logistics and Human-Computer Interaction\u2014State-of-the-Art, Challenges and Requirements for the Future","volume":"105","author":"Klumpp","year":"2019","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.procs.2021.01.136","article-title":"Using Mixed Reality in\u2014Are We Ready Yet?","volume":"180","author":"Kurschl","year":"2021","journal-title":"Procedia Comput. Sci."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Liu, X., Cao, J., Yang, Y., and Jiang, S. (2018). CPS-Based Smart Warehouse for Industry 4.0: A Survey of the Underlying Technologies. Computers, 7.","DOI":"10.3390\/computers7010013"},{"key":"ref_61","unstructured":"and Milwandhari, S. (2020, January 3). Risk Analysis of Cloud Computing in the Logistics Process. Proceedings of the 2020 Third International Conference on Vocational Education and Electrical Engineering (ICVEE), Surabaya, Indonesia."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.ajsl.2021.12.003","article-title":"A Comprehensive Literature Review on Spare Parts Logistics Management in the Maritime Industry","volume":"38","author":"Mouschoutzi","year":"2022","journal-title":"Asian J. Shipp. Logist."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"7","DOI":"10.17270\/J.LOG.2021.545","article-title":"Smart Factory: From Concepts to Operational Sustainable Outcomes Using Test-Beds","volume":"17","author":"Puviyarasu","year":"2021","journal-title":"Logforum"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1108\/BIJ-08-2021-0499","article-title":"Port Logistic Issues and Challenges in the Industry 4.0 Era for Emerging Economies: An India Perspective","volume":"30","author":"Sarkar","year":"2023","journal-title":"Benchmarking An Int. J."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.procs.2019.11.266","article-title":"Applications of Blockchain to Improve Supply Chain Traceability","volume":"162","author":"Song","year":"2019","journal-title":"Procedia Comput. Sci."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"411","DOI":"10.17270\/J.LOG.2021.611","article-title":"Challenges in the Implementation of Autonomous Robots in the Process of Feeding Materials on the Production Line as Part of Logistics 4.0","volume":"17","author":"Tubis","year":"2021","journal-title":"Logforum"},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Van Geest, M., Tekinerdogan, B., and Catal, C. (2021). Smart Warehouses: Rationale, Challenges and Solution Directions. Appl. Sci., 12.","DOI":"10.3390\/app12010219"},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Jepsen, S.C., Mork, T.I., Hviid, J., and Worm, T. (2020, January 14). A Pilot Study of Industry 4.0 Asset Interoperability Challenges in an Industry 4.0 Laboratory. Proceedings of the 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore.","DOI":"10.1109\/IEEM45057.2020.9309952"},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Harrison, R. (2019, January 10\u201313). Dynamically Integrating Manufacturing Automation with Logistics. Proceedings of the 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Zaragoza, Spain.","DOI":"10.1109\/ETFA.2019.8869405"},{"key":"ref_70","first-page":"23","article-title":"Evaluation of the Use of Smart Glasses in IRS Logistics","volume":"117","author":"Binar","year":"2022","journal-title":"Sci. J. Silesian Univ. Technol. Ser. Transp."},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez-Caram\u00e9s, T.M., Blanco-Novoa, O., Froiz-M\u00edguez, I., and Fraga-Lamas, P. (2019). Towards an Autonomous Industry 4.0 Warehouse: A UAV and Blockchain-Based System for Inventory and Traceability Applications in Big Data-Driven Supply Chain Management. Sensors, 19.","DOI":"10.3390\/s19102394"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1080\/10429247.2021.1946320","article-title":"Sustainability Balanced Scorecard Approach to Internet of Things Enabled Logistics Systems","volume":"34","author":"Keivanpour","year":"2022","journal-title":"Eng. Manag. J."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Motroni, A., Bernardini, F., Vaiani, S., Buffi, A., and Nepa, P. (2022, January 27). Performance Assessment of a UHF-RFID Robotic Inventory System for Industry 4.0. Proceedings of the 2022 16th European Conference on Antennas and Propagation (EuCAP), Madrid, Spain.","DOI":"10.23919\/EuCAP53622.2022.9769352"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"e47034","DOI":"10.4025\/actascitechnol.v42i1.47034","article-title":"Simulation-Based Analysis of AGV Workload Used on Aircraft Manufacturing System: A Theoretical Approach","volume":"42","author":"Nunes","year":"2020","journal-title":"Acta Sci. Technol."},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Prabhu, P., and Chowdhury, A.R. (2021, January 12). Feasibility Study of Multi Autonomous Mobile Robots (AMRs) Motion Planning in Smart Warehouse Environment. Proceedings of the 2021 18th International Conference on Ubiquitous Robots (UR), Gangneung, Republic of Korea.","DOI":"10.1109\/UR52253.2021.9494634"},{"key":"ref_76","first-page":"64","article-title":"A Full Shift Field Study to Evaluate User-and Process-Oriented Aspects of Smart Glasses in Automotive Order Picking Processes","volume":"38","author":"Murauer","year":"2018","journal-title":"Interact. Des. Archit. J."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1108\/JM2-07-2019-0159","article-title":"Improving the Performance of a Malaysian Pharmaceutical Warehouse Supply Chain by Integrating Value Stream Mapping and Discrete Event Simulation","volume":"16","author":"Abideen","year":"2021","journal-title":"J. Model. Manag."},{"key":"ref_78","unstructured":"Costa, C., and Santos, M.Y. (2018). Advanced Information Systems Engineering: 30th International Conference, CAiSE 2018, Tallinn, Estonia, 11\u201315 June 2018, Springer. Proceedings 30."},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Kattepur, A. (2019, January 7\u201311). Towards Structured Performance Analysis of Industry 4.0 Workflow Automation Resources. Proceedings of the 2019 ACM\/SPEC International Conference on Performance Engineering, Mumbai, India.","DOI":"10.1145\/3297663.3309671"},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Kattepur, A., Mukherjee, A., and Balamuralidhar, P. (2018, January 4\u20137). Verification and Timing Analysis of Industry 4.0 Warehouse Automation Workflows. Proceedings of the 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), Turin, Italy.","DOI":"10.1109\/ETFA.2018.8502587"},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Xu, L., and Muhammad Shaikh, G. (2019). Evaluating and Prioritizing the Green Supply Chain Management Practices in Pakistan: Based on Delphi and Fuzzy AHP Approach. Symmetry, 11.","DOI":"10.3390\/sym11111346"},{"key":"ref_82","unstructured":"Alhazred, A., and Dee, J. (2018, January 3\u20135). Logistics Audit 9a in the Assessment of Supply Chain Efficiency of Companies Operating in the Industry 4.0. Proceedings of the 8th Carpathian Logistics Congress CLC, Prague, Czech Republic."},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Porsani, G.B., Del Valle de Lersundi, K., S\u00e1nchez-Ostiz Guti\u00e9rrez, A., and Bandera, C.F. (2021). Interoperability between Building Information Modelling (BIM) and Building Energy Model (BEM). Appl. Sci., 11.","DOI":"10.3390\/app11052167"},{"key":"ref_84","unstructured":"Zoubek, M., and Michal, \u0160. (2020, January 1\u20132). Logistics 4.0: Readiness and Technology of Internal Logistics Processes of Companies and Design of a Maturity Model for Warehousing. Proceedings of the 35th IBIMA Conference, Seville, Spain."},{"key":"ref_85","doi-asserted-by":"crossref","unstructured":"Zoubek, M., and Simon, M. (2021). Evaluation of the Level and Readiness of Internal Logistics for Industry 4.0 in Industrial Companies. Appl. Sci., 11.","DOI":"10.3390\/app11136130"},{"key":"ref_86","doi-asserted-by":"crossref","unstructured":"Zoubek, M., Simon, M., and Poor, P. (2022). Overall Readiness of Logistics 4.0: A Comparative Study of Automotive, Manufacturing, and Electronics Industries in the West Bohemian Region (Czech Republic). Appl. Sci., 12.","DOI":"10.3390\/app12157789"},{"key":"ref_87","doi-asserted-by":"crossref","unstructured":"Ud Din, F., Paul, D., Ryan, J., Henskens, F., and Wallis, M. (2021). AOSR 2.0: A Novel Approach and Thorough Validation of an Agent-Oriented Storage and Retrieval WMS Planner for SMEs, under Industry 4.0. Futur. Internet, 13.","DOI":"10.3390\/fi13060155"},{"key":"ref_88","doi-asserted-by":"crossref","unstructured":"Ridolfi, M., Macoir, N., Gerwen, J.V.-V., Rossey, J., Hoebeke, J., and de Poorter, E. (May, January 29). Testbed for Warehouse Automation Experiments Using Mobile AGVs and Drones. Proceedings of the IEEE INFOCOM 2019\u2014IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Paris, France.","DOI":"10.1109\/INFCOMW.2019.8845218"},{"key":"ref_89","doi-asserted-by":"crossref","unstructured":"Val, I., Fernandez, Z., and Almeida, L. (2020, January 27\u201329). Performance Analysis of STDMA and RA-TDMA Wireless Protocols in Industrial Scenarios. Proceedings of the 2020 16th IEEE International Conference on Factory Communication Systems (WFCS), Porto, Portugal.","DOI":"10.1109\/WFCS47810.2020.9114474"},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"396","DOI":"10.31387\/oscm0430279","article-title":"Novel Implementation of Multiple Automated Ground Vehicles Traffic Real Time Control Algorithm for Warehouse Operations: Djikstra Approach","volume":"13","author":"Dharmasiri","year":"2020","journal-title":"Oper. Supply Chain Manag. An Int. J."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"15035","DOI":"10.1016\/j.ifacol.2020.12.2004","article-title":"A Novel Mathematical Model for a Cloud-Based Drone Enabled Vehicle Routing Problem Considering Multi-Echelon Supply Chain","volume":"53","author":"Farajzadeh","year":"2020","journal-title":"IFAC-PapersOnLine"},{"key":"ref_92","first-page":"428","article-title":"Design and Analysis of AGV-Based Cross-Docking Operations Using Analytical Models","volume":"10","author":"He","year":"2022","journal-title":"Prod. Manuf. Res."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1016\/j.promfg.2020.01.420","article-title":"A Model of Economic Evaluation for the Acquisition of Flexible Manufacturing Technologies","volume":"39","author":"Palominos","year":"2019","journal-title":"Procedia Manuf."},{"key":"ref_94","doi-asserted-by":"crossref","unstructured":"Sahlab, N., Braun, D., Jung, T., Jazdi, N., and Weyrich, M. (2021, January 7). A Tier-Based Model for Realizing Context-Awareness of Digital Twins. Proceedings of the 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Vasteras, Sweden.","DOI":"10.1109\/ETFA45728.2021.9613408"},{"key":"ref_95","doi-asserted-by":"crossref","unstructured":"Ekren, B.Y., and Arslan, B. (2022). A Reinforcement Learning Approach for Transaction Scheduling in a Shuttle-based Storage and Retrieval System. Int. Trans. Oper. Res., 1\u201322.","DOI":"10.1111\/itor.13135"},{"key":"ref_96","doi-asserted-by":"crossref","unstructured":"Thanh, N. (2022). Van Designing a MCDM Model for Selection of an Optimal ERP Software in Organization. Systems, 10.","DOI":"10.3390\/systems10040095"},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"1914","DOI":"10.1016\/j.ifacol.2019.11.482","article-title":"Multiple AGV Fault-Tolerant within an Agile Manufacturing Warehouse","volume":"52","author":"Witczak","year":"2019","journal-title":"IFAC-PapersOnLine"},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.future.2022.07.011","article-title":"Deep Neural Network Based UAV Deployment and Dynamic Power Control for 6G-Envisioned Intelligent Warehouse Logistics System","volume":"137","author":"Zhai","year":"2022","journal-title":"Futur. Gener. Comput. Syst."},{"key":"ref_99","doi-asserted-by":"crossref","unstructured":"Chaudhuri, S.R., Banerjee, A., Swaminathan, N., Choppella, V., Pal, A., and Balamurali, P. (2019, January 14\u201316). A Knowledge Centric Approach to Conceptualizing Robotic Solutions. Proceedings of the 12th Innovations on Software Engineering Conference (formerly known as India Software Engineering Conference), Pune, India.","DOI":"10.1145\/3299771.3299782"},{"key":"ref_100","doi-asserted-by":"crossref","unstructured":"El Ouadaa, S., Bah, S., and Berrado, A. (2018, January 24\u201325). Design of Intelligent Warehouse Based on RFID and WSNs Technologies. Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications, Rabat, Morocco.","DOI":"10.1145\/3289402.3289518"},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"166310","DOI":"10.1109\/ACCESS.2019.2953486","article-title":"Layout Design for Intelligent Warehouse by Evolution with Fitness Approximation","volume":"7","author":"Zhang","year":"2019","journal-title":"IEEE Access"},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"012077","DOI":"10.1088\/1757-899X\/758\/1\/012077","article-title":"Comprehensive Planning of New Plant Under Industry 4.0","volume":"758","author":"Tiefeng","year":"2020","journal-title":"IOP Conf. Ser. Mater. Sci. Eng."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/j.matpr.2021.09.557","article-title":"Design and Fabrication of Mobile App-Controlled Floor Sweeper","volume":"55","author":"Abubakkar","year":"2022","journal-title":"Mater. Today Proc."},{"key":"ref_104","doi-asserted-by":"crossref","unstructured":"Balaska, V., Folinas, D., Konstantinidis, F.K., and Gasteratos, A. (2022, January 21\u201323). Smart Counting of Unboxed Stocks in the Warehouse 4.0 Ecosystem. Proceedings of the 2022 IEEE International Conference on Imaging Systems and Techniques (IST), Kaohsiung, Taiwan.","DOI":"10.1109\/IST55454.2022.9827758"},{"key":"ref_105","first-page":"723","article-title":"Development of a Solution for Adding a Collaborative Robot to an Industrial AGV","volume":"47","author":"Costa","year":"2020","journal-title":"Ind. Robot Int. J. Robot. Res. Appl."},{"key":"ref_106","doi-asserted-by":"crossref","unstructured":"Limeira, M.A., Piardi, L., Kalempa, V.C., de Oliveira, A.S., and Leitao, P. (2019, January 23\u201325). WsBot: A Tiny, Low-Cost Swarm Robot for Experimentation on Industry 4.0. Proceedings of the 2019 Latin American Robotics Symposium (LARS), 2019 Brazilian Symposium on Robotics (SBR) and 2019 Workshop on Robotics in Education (WRE), Rio Grande, Brazil.","DOI":"10.1109\/LARS-SBR-WRE48964.2019.00058"},{"key":"ref_107","doi-asserted-by":"crossref","unstructured":"Konstantinidis, F.K., Balaska, V., Symeonidis, S., Mouroutsos, S.G., and Gasteratos, A. (2022, January 28). AROWA: An Autonomous Robot Framework for Warehouse 4.0 Health and Safety Inspection Operations. Proceedings of the 2022 30th Mediterranean Conference on Control and Automation (MED), Vouliagmeni, Greece.","DOI":"10.1109\/MED54222.2022.9837259"},{"key":"ref_108","doi-asserted-by":"crossref","unstructured":"Vitolo, F., Rega, A., Di Marino, C., Pasquariello, A., Zanella, A., and Patalano, S. (2022). Mobile Robots and Cobots Integration: A Preliminary Design of a Mechatronic Interface by Using MBSE Approach. Appl. Sci., 12.","DOI":"10.3390\/app12010419"},{"key":"ref_109","doi-asserted-by":"crossref","unstructured":"El Kihel, Y., El Kihel, A., and Embarki, S. (2022). Optimization of the Sustainable Distribution Supply Chain Using the Lean Value Stream Mapping 4.0 Tool: A Case Study of the Automotive Wiring Industry. Processes, 10.","DOI":"10.3390\/pr10091671"},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"1801","DOI":"10.1016\/j.promfg.2020.01.078","article-title":"Intralogistics and Industry 4.0: Designing a Novel Shuttle with Picking System","volume":"38","author":"Fernandes","year":"2019","journal-title":"Procedia Manuf."},{"key":"ref_111","doi-asserted-by":"crossref","unstructured":"Forte, A., Ruiz, M.D., Fernandez, C., Lopez, M.A., and Alvarez-Leon, D. (2022, January 22\u201325). StoreMe-MR: Toolbox for Intelligent Warehouse Control in the Industry 4.0 with Mixed Reality. Proceedings of the 2022 17th Iberian Conference on Information Systems and Technologies (CISTI), Madrid, Spain.","DOI":"10.23919\/CISTI54924.2022.9820587"},{"key":"ref_112","doi-asserted-by":"crossref","unstructured":"Grecuccio, J., Giusto, E., Fiori, F., and Rebaudengo, M. (2020). Combining Blockchain and IoT: Food-Chain Traceability and Beyond. Energies, 13.","DOI":"10.3390\/en13153820"},{"key":"ref_113","doi-asserted-by":"crossref","unstructured":"Huo, G., Yu-Cheng, C., Wang, L., Zhao, Y., and Jin, Y. (2020, January 6\u201321). Design of a High Accuracy and Real-Time Indoor Positioning System Based on Coding Point Identification and Its FPGA Implementation. Proceedings of the 2020 4th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), Penang, Malaysia.","DOI":"10.1109\/EDTM47692.2020.9117855"},{"key":"ref_114","doi-asserted-by":"crossref","unstructured":"Sun, H., Qiu, X., Lin, A., and Zhang, Y. (2020, January 26). Research and Design of Automated Pharmacy Handling Robot. Proceedings of the 2020 3rd International Conference on Control and Robots (ICCR), Tokyo, Japan.","DOI":"10.1109\/ICCR51572.2020.9344132"},{"key":"ref_115","doi-asserted-by":"crossref","unstructured":"Xi-Kun, W., Jing, Y., Yi-Xin, W., and Xiao-Han, Z. (2020, January 15\u201317). Integrated Monitoring System of Intelligent Warehouse Based on Wireless Sensor Network. Proceedings of the 2020 5th International Conference on Electromechanical Control Technology and Transportation (ICECTT), Nanchang, China.","DOI":"10.1109\/ICECTT50890.2020.00065"},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"355","DOI":"10.31449\/inf.v46i3.3968","article-title":"Design and Implementation of a New Intelligent Warehouse Management System Based on MySQL Database Technology","volume":"46","author":"Zhang","year":"2022","journal-title":"Informatica"},{"key":"ref_117","unstructured":"Rocha, P., Ramos, A.G., and Silva, E. (2022). Computational Logistics: 13th International Conference, ICCL 2022, Barcelona, Spain, 21\u201323 September 2022, Proceedings, Springer."},{"key":"ref_118","doi-asserted-by":"crossref","unstructured":"Alajami, A.A., Moreno, G., and Pous, R. (2022). Design of a UAV for Autonomous RFID-Based Dynamic Inventories Using Stigmergy for Mapless Indoor Environments. Drones, 6.","DOI":"10.3390\/drones6080208"},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1007\/s41315-021-00173-4","article-title":"Intelligent Warehouse Monitoring Based on Distributed System and Edge Computing","volume":"5","author":"Lin","year":"2021","journal-title":"Int. J. Intell. Robot. Appl."},{"key":"ref_120","doi-asserted-by":"crossref","unstructured":"Gao, F., and Cheng, Y. (2020, January 4\u20137). Research on Scheduling Strategy of Intelligent Warehouse and Automatic Verification Line. Proceedings of the 2020 5th Asia Conference on Power and Electrical Engineering (ACPEE), Chengdu, China.","DOI":"10.1109\/ACPEE48638.2020.9136550"},{"key":"ref_121","doi-asserted-by":"crossref","unstructured":"Kattepur, A., Dey, S., and Balamuralidhar, P. (2018, January 21\u201323). Knowledge Based Hierarchical Decomposition of Industry 4.0 Robotic Automation Tasks. Proceedings of the IECON 2018\u201444th Annual Conference of the IEEE Industrial Electronics Society, Washington, DC, USA.","DOI":"10.1109\/IECON.2018.8592800"},{"key":"ref_122","doi-asserted-by":"crossref","first-page":"47","DOI":"10.32604\/csse.2021.016430","article-title":"An Efficient Medium Access Control Mechanism for Flying Ad-Hoc Networks","volume":"38","author":"Khan","year":"2021","journal-title":"Comput. Syst. Sci. Eng."},{"key":"ref_123","doi-asserted-by":"crossref","unstructured":"Lorenc, A., and Lerher, T. (2020). PickupSimulo\u2013Prototype of Intelligent Software to Support Warehouse Managers Decisions for Product Allocation Problem. Appl. Sci., 10.","DOI":"10.3390\/app10238683"},{"key":"ref_124","doi-asserted-by":"crossref","unstructured":"Panigrahi, B., Behera, S., Shailendra, S., Rath, H.K., and Pal, A. (2019, January 7\u201311). Delay-Sensitive Wireless Relaying in Multi-Robot Indoor Networks. Proceedings of the 2019 11th International Conference on Communication Systems & Networks (COMSNETS), Bangalore, India.","DOI":"10.1109\/COMSNETS.2019.8711060"},{"key":"ref_125","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.ifacol.2019.11.137","article-title":"Model of the Automated Warehouse Management and Forecasting System in the Conditions of Transition to Industry 4.0","volume":"52","author":"Lototsky","year":"2019","journal-title":"IFAC-PapersOnLine"},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TIM.2022.3162293","article-title":"Improved Coding Landmark-Based Visual Sensor Position Measurement and Planning Strategy for Multiwarehouse Automated Guided Vehicle","volume":"71","author":"Lian","year":"2022","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_127","doi-asserted-by":"crossref","unstructured":"Trstenjak, M., Opetuk, T., \u0110uki\u0107, G., and Cajner, H. (2022). Logistics 5.0 Implementation Model Based on Decision Support Systems. Sustainability, 14.","DOI":"10.3390\/su14116514"},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"3105267","DOI":"10.1155\/2019\/3105267","article-title":"Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0","volume":"2019","author":"Gong","year":"2019","journal-title":"J. Control. Sci. Eng."},{"key":"ref_129","doi-asserted-by":"crossref","first-page":"4238","DOI":"10.17973\/MMSJ.2021_03_2020067","article-title":"Model of Smart Factory Using the Principles of Industry 4.0","volume":"2021","author":"Sevic","year":"2021","journal-title":"MM Sci. J."},{"key":"ref_130","doi-asserted-by":"crossref","first-page":"1095","DOI":"10.1016\/j.promfg.2020.01.197","article-title":"Automatic Generation of Digital Twin Industrial System from a High Level Specification","volume":"38","author":"Campos","year":"2019","journal-title":"Procedia Manuf."},{"key":"ref_131","doi-asserted-by":"crossref","unstructured":"Choudhury, S., Dey, S., and Mukherjee, A. (2019, January 11\u201315). A Distributed Semantic Knowledge Framework for Collaborative Robotics. Proceedings of the 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Kyoto, Japan.","DOI":"10.1109\/PERCOMW.2019.8730841"},{"key":"ref_132","doi-asserted-by":"crossref","first-page":"1825","DOI":"10.1016\/j.ifacol.2019.11.501","article-title":"A Novel Framework for Intelligent Automation","volume":"52","author":"Coito","year":"2019","journal-title":"IFAC-PapersOnLine"},{"key":"ref_133","doi-asserted-by":"crossref","unstructured":"Kattepur, A. (2019, January 8\u201312). RoboPlanner: Autonomous Robotic Action Planning via Knowledge Graph Queries. Proceedings of the 34th ACM\/SIGAPP Symposium on Applied Computing, Limassol, Cyprus.","DOI":"10.1145\/3297280.3297568"},{"key":"ref_134","doi-asserted-by":"crossref","unstructured":"Din, F.U., Henskens, F., Paul, D., and Wallis, M. (2018, January 4\u20136). Formalisation of Problem and Domain Definition for Agent Oriented Smart Factory (AOSF). Proceedings of the 2018 IEEE Region Ten Symposium (Tensymp), Sydney, NSW, Australia.","DOI":"10.1109\/TENCONSpring.2018.8691967"},{"key":"ref_135","unstructured":"Ma, H. (2019). Advanced Manufacturing and Automation VIII 8, Springer."},{"key":"ref_136","doi-asserted-by":"crossref","unstructured":"Mostafa, N., Hamdy, W., and Alawady, H. (2019). Impacts of Internet of Things on Supply Chains: A Framework for Warehousing. Soc. Sci., 8.","DOI":"10.3390\/socsci8030084"},{"key":"ref_137","doi-asserted-by":"crossref","first-page":"2865","DOI":"10.1108\/BIJ-11-2020-0583","article-title":"The Impact of Logistics 4.0 on Corporate Sustainability: A Performance Assessment of Automated Warehouse Operations","volume":"28","author":"Nantee","year":"2021","journal-title":"Benchmarking Int. J."},{"key":"ref_138","doi-asserted-by":"crossref","unstructured":"Sharma, V.P., Prakash, S., and Singh, R. (2022). What Prevents Sustainable Last-Mile Delivery in Industry 4.0? An Analysis and Decision Framework. Sustainability, 14.","DOI":"10.3390\/su142416423"},{"key":"ref_139","doi-asserted-by":"crossref","unstructured":"Stetter, R., Till, M., Witczak, M., and Lipiec, B. (2021, January 29). Health Aware Fault-Tolerant Forklift Design and Control in Industry 4.0. Proceedings of the 2021 5th International Conference on Control and Fault-Tolerant Systems (SysTol), Saint-Raphael, France.","DOI":"10.1109\/SysTol52990.2021.9596044"},{"key":"ref_140","doi-asserted-by":"crossref","first-page":"107511","DOI":"10.1016\/j.cie.2021.107511","article-title":"Towards a Conceptualisation of Order Picking 4.0","volume":"159","author":"Winkelhaus","year":"2021","journal-title":"Comput. Ind. Eng."},{"key":"ref_141","doi-asserted-by":"crossref","first-page":"101864","DOI":"10.1016\/j.tre.2020.101864","article-title":"Logistics Centers in the New Industrial Era: A Proposed Framework for Logistics Center 4.0","volume":"135","author":"Yavas","year":"2020","journal-title":"Transp. Res. Part E Logist. Transp. Rev."},{"key":"ref_142","doi-asserted-by":"crossref","unstructured":"Madeira, B., Alves, P., Marto, A., Rodrigues, N., and Gon\u00e7alves, A. (2021, January 8\u201310). Integrating a Head-Mounted Display with a Mobile Device for Real-Time Augmented Reality Purposes. Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Online.","DOI":"10.5220\/0010338703130319"},{"key":"ref_143","unstructured":"Papcun, P., Cabadaj, J., Kajati, E., Romero, D., Landryova, L., Vascak, J., and Zolotova, I. (2019). Advances in Production Management Systems. Production Management for the Factory of the Future: IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, 1\u20135 September 2019, Proceedings, Part I, Springer."},{"key":"ref_144","doi-asserted-by":"crossref","unstructured":"Piardi, L., Kalempa, V.C., Limeira, M., de Oliveira, A.S., and Leit\u00e3o, P. (2019). ARENA\u2014Augmented Reality to Enhanced Experimentation in Smart Warehouses. Sensors, 19.","DOI":"10.3390\/s19194308"},{"key":"ref_145","doi-asserted-by":"crossref","unstructured":"Benzi, F., Bassi, E., Marabelli, F., Belloni, N., and Lombardi, M. (2019, January 18\u201320). IIoT-Based Motion Control Efficiency in Automated Warehouses. Proceedings of the 2019 AEIT International Annual Conference (AEIT), Florence, Italy.","DOI":"10.23919\/AEIT.2019.8893370"},{"key":"ref_146","doi-asserted-by":"crossref","unstructured":"Boppana, T.K., and Bagade, P. (2022, January 1). Security Risks in MQTT-Based Industrial IoT Applications. Proceedings of the 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS), Barcelona, Spain.","DOI":"10.1109\/COINS54846.2022.9854993"},{"key":"ref_147","doi-asserted-by":"crossref","first-page":"103127","DOI":"10.1016\/j.compind.2019.103127","article-title":"An End-to-End Internet of Things Solution for Reverse Supply Chain Management in Industry 4.0","volume":"112","author":"Olivares","year":"2019","journal-title":"Comput. Ind."},{"key":"ref_148","doi-asserted-by":"crossref","first-page":"89318","DOI":"10.1109\/ACCESS.2020.2992475","article-title":"Cloud-Based Cyber-Physical Robotic Mobile Fulfillment Systems: A Case Study of Collision Avoidance","volume":"8","author":"Keung","year":"2020","journal-title":"IEEE Access"},{"key":"ref_149","doi-asserted-by":"crossref","first-page":"2753","DOI":"10.1080\/00207543.2017.1394592","article-title":"Design and Application of Internet of Things-Based Warehouse Management System for Smart Logistics","volume":"56","author":"Lee","year":"2018","journal-title":"Int. J. Prod. Res."},{"key":"ref_150","doi-asserted-by":"crossref","unstructured":"Maheshwari, P., Kamble, S., Pundir, A., Belhadi, A., Ndubisi, N.O., and Tiwari, S. (2021). Internet of Things for Perishable Inventory Management Systems: An Application and Managerial Insights for Micro, Small and Medium Enterprises. Ann. Oper. Res.","DOI":"10.1007\/s10479-021-04277-9"},{"key":"ref_151","doi-asserted-by":"crossref","unstructured":"Yanabe, T., Nishi, H., and Hashimoto, M. (2020, January 8\u201311). Anomaly Detection Based on Histogram Methodology and Factor Analysis Using LightGBM for Cooling Systems. Proceedings of the 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Vienna, Austria.","DOI":"10.1109\/ETFA46521.2020.9211978"},{"key":"ref_152","first-page":"2076591","article-title":"Research on Intelligent Warehousing and Logistics Management System of Electronic Market Based on Machine Learning","volume":"2022","author":"Zhang","year":"2022","journal-title":"Comput. Intell. Neurosci."},{"key":"ref_153","doi-asserted-by":"crossref","unstructured":"Braglia, M., Gabbrielli, R., Frosolini, M., Marrazzini, L., and Padellini, L. (2019, January 25\u201327). Using RFID Technology and Discrete-Events, Agent-Based Simulation Tools to Build Digital-Twins of Large Warehouses. Proceedings of the 2019 IEEE International Conference on RFID Technology and Applications (RFID-TA), Pisa, Italy.","DOI":"10.1109\/RFID-TA.2019.8892254"},{"key":"ref_154","doi-asserted-by":"crossref","first-page":"012051","DOI":"10.1088\/1755-1315\/128\/1\/012051","article-title":"Application of Semi-Active RFID Power Meter in Automatic Verification Pipeline and Intelligent Storage System","volume":"128","author":"Chen","year":"2018","journal-title":"IOP Conf. Ser. Earth Environ. Sci."},{"key":"ref_155","doi-asserted-by":"crossref","unstructured":"Chen, X., Wei, S., Huang, R., Liu, X., Liu, M., Chen, H., and Shen, L. (2018, January 14\u201316). Smart Meter Lifecycle Management System Based on RFID Technology. Proceedings of the 2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE), Huhhot, China.","DOI":"10.1109\/ICMCCE.2018.00148"},{"key":"ref_156","doi-asserted-by":"crossref","first-page":"22150","DOI":"10.1109\/ACCESS.2022.3152199","article-title":"RFID Gazebo-Based Simulator with RSSI and Phase Signals for UHF Tags Localization and Tracking","volume":"10","author":"Unetti","year":"2022","journal-title":"IEEE Access"},{"key":"ref_157","doi-asserted-by":"crossref","unstructured":"Fontaine, J., De Waele, T., Shahid, A., Tanghe, E., Suanet, P., Joseph, W., Hoebeke, J., and De Poorter, E. (2021, January 7). Drone-Mounted RFID-Based Rack Localization for Assets in Warehouses Using Deep Learning. Proceedings of the 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Vasteras, Sweden.","DOI":"10.1109\/ETFA45728.2021.9613562"},{"key":"ref_158","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1109\/JRFID.2021.3135047","article-title":"A Resonator Enhanced UHF RFID Antenna Cable for Inventory and Warehouse Applications","volume":"6","author":"Kokkonen","year":"2022","journal-title":"IEEE J. Radio Freq. Identif."},{"key":"ref_159","doi-asserted-by":"crossref","unstructured":"Motroni, A., Buffi, A., Nepa, P., Pesi, M., and Congi, A. (2021). An Action Classification Method for Forklift Monitoring in Industry 4.0 Scenarios. Sensors, 21.","DOI":"10.3390\/s21155183"},{"key":"ref_160","doi-asserted-by":"crossref","first-page":"933","DOI":"10.1109\/TASE.2021.3057433","article-title":"A Synthetic Aperture UHF RFID Localization Method by Phase Unwrapping and Hyperbolic Intersection","volume":"19","author":"Tripicchio","year":"2022","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_161","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1504\/IJGUC.2021.119556","article-title":"Visualisation Technology in Digital Intelligent Warehouse Management System","volume":"12","author":"Tang","year":"2021","journal-title":"Int. J. Grid Util. Comput."},{"key":"ref_162","first-page":"297","article-title":"A Smart Warehouse 4.0 Approach for the Pallet Management Using Machine Vision and Internet of Things (IoT): A Real Industrial Case Study","volume":"16","author":"Vukicevic","year":"2021","journal-title":"Adv. Prod. Eng. Manag."},{"key":"ref_163","doi-asserted-by":"crossref","first-page":"20773","DOI":"10.1007\/s00521-022-07551-4","article-title":"A Vision-Based Inventory Method for Stacked Goods in Stereoscopic Warehouse","volume":"34","author":"Yin","year":"2022","journal-title":"Neural Comput. Appl."},{"key":"ref_164","doi-asserted-by":"crossref","first-page":"003685042211037","DOI":"10.1177\/00368504221103766","article-title":"Research on AGV Trackless Guidance Technology Based on the Global Vision","volume":"105","author":"Zheng","year":"2022","journal-title":"Sci. Prog."},{"key":"ref_165","doi-asserted-by":"crossref","unstructured":"Barral, V., Su\u00e1rez-Casal, P., Escudero, C.J., and Garc\u00eda-Naya, J.A. (2019). Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments. Electronics, 8.","DOI":"10.3390\/electronics8101152"},{"key":"ref_166","doi-asserted-by":"crossref","first-page":"103329","DOI":"10.1016\/j.compind.2020.103329","article-title":"A Middleware Platform for Intelligent Automation: An Industrial Prototype Implementation","volume":"123","author":"Coito","year":"2020","journal-title":"Comput. Ind."},{"key":"ref_167","doi-asserted-by":"crossref","first-page":"139143","DOI":"10.1109\/ACCESS.2020.3012822","article-title":"Edge Inference for UWB Ranging Error Correction Using Autoencoders","volume":"8","author":"Fontaine","year":"2020","journal-title":"IEEE Access"},{"key":"ref_168","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1109\/MCE.2021.3101060","article-title":"KF-Loc: A Kalman Filter and Machine Learning Integrated Localization System Using Consumer-Grade Millimeter-Wave Hardware","volume":"11","author":"Vashist","year":"2022","journal-title":"IEEE Consum. Electron. Mag."},{"key":"ref_169","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1016\/j.jclepro.2018.02.302","article-title":"Minimizing the Trade-off between Sustainability and Cost Effective Performance by Using Autonomous Vehicles","volume":"184","author":"Baskutis","year":"2018","journal-title":"J. Clean. Prod."},{"key":"ref_170","doi-asserted-by":"crossref","first-page":"107541","DOI":"10.1016\/j.ijpe.2019.107541","article-title":"Introduction of a Real Time Location System to Enhance the Warehouse Safety and Operational Efficiency","volume":"224","author":"Halawa","year":"2020","journal-title":"Int. J. Prod. Econ."},{"key":"ref_171","doi-asserted-by":"crossref","first-page":"381","DOI":"10.5937\/fmet1803381L","article-title":"Warehousing 4.0 by Using Shuttlebased Storage and Retrieval Systems","volume":"46","author":"Lerher","year":"2018","journal-title":"FME Trans."},{"key":"ref_172","doi-asserted-by":"crossref","unstructured":"Shahbazi, Z., and Byun, Y.-C. (2020). A Procedure for Tracing Supply Chains for Perishable Food Based on Blockchain, Machine Learning and Fuzzy Logic. Electronics, 10.","DOI":"10.3390\/electronics10010041"},{"key":"ref_173","doi-asserted-by":"crossref","first-page":"1899","DOI":"10.1016\/j.ifacol.2022.09.676","article-title":"A Roadmap towards an Automated Warehouse Digital Twin: Current Implementations and Future Developments","volume":"55","author":"Ferrari","year":"2022","journal-title":"IFAC-PapersOnLine"},{"key":"ref_174","unstructured":"Smajic, H., and Bosco, J. (2021). Cross Reality and Data Science in Engineering: Proceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation 17, Springer."},{"key":"ref_175","doi-asserted-by":"crossref","first-page":"96","DOI":"10.3991\/ijet.v17i09.30939","article-title":"Teaching Practices of a Warehousing Management Curriculum Based on Virtual Reality Simulation Technology","volume":"17","author":"He","year":"2022","journal-title":"Int. J. Emerg. Technol. Learn."},{"key":"ref_176","doi-asserted-by":"crossref","unstructured":"Pan, X., Fan, H., Zeng, Z., Peng, B., Li, J., Wang, Y., Pan, Y., and Yuan, J. (2022, January 25). Based on the Software RioD of Digital Twins of the Practice Teaching Research. Proceedings of the 2022 IEEE 13th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT), Cape Town, South Africa.","DOI":"10.1109\/ICMIMT55556.2022.9845301"},{"key":"ref_177","doi-asserted-by":"crossref","unstructured":"Jena, S., Ranade, G.A., Sharma, R.P., and Arya, K. (2022, January 28). Integrating Industry 4.0 in Engineering Education during a Global Pandemic: Approach and Learning Efficacy. Proceedings of the 2022 IEEE Global Engineering Education Conference (EDUCON), Tunis, Tunisia.","DOI":"10.1109\/EDUCON52537.2022.9766709"},{"key":"ref_178","unstructured":"Verner, I., Cuperman, D., Romm, T., Reitman, M., Chong, S.K., and Gong, Z. (2020). The Challenges of the Digital Transformation in Education: Proceedings of the 21st International Conference on Interactive Collaborative Learning (ICL2018)-Volume 1, Springer."},{"key":"ref_179","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s11465-020-0625-z","article-title":"Training for Smart Manufacturing Using a Mobile Robot-Based Production Line","volume":"16","author":"Wang","year":"2021","journal-title":"Front. Mech. Eng."},{"key":"ref_180","doi-asserted-by":"crossref","unstructured":"Osorio-Oliveros, R., de La O, S.A.M., Rodriguez-Castro, S., Heredia-Marin, I.B., and Vazquez-Hurtado, C. (2022, January 13). Work in Progress: Lean Manufacturing in a Collaborative Smart Factory. Proceedings of the 2022 IEEE World Engineering Education Conference (EDUNINE), Santos, Brazil.","DOI":"10.1109\/EDUNINE53672.2022.9782323"},{"key":"ref_181","doi-asserted-by":"crossref","first-page":"1023590","DOI":"10.3389\/frobt.2022.1023590","article-title":"A Robot Localization Proposal for the RobotAtFactory 4.0: A Novel Robotics Competition within the Industry 4.0 Concept","volume":"9","author":"Braun","year":"2022","journal-title":"Front. Robot. AI"},{"key":"ref_182","doi-asserted-by":"crossref","first-page":"032036","DOI":"10.1088\/1757-899X\/537\/3\/032036","article-title":"Automated Storage and Retrieval System for Industry 4.0 Concept","volume":"537","author":"Borisoglebskaya","year":"2019","journal-title":"IOP Conf. Ser. Mater. Sci. Eng."},{"key":"ref_183","doi-asserted-by":"crossref","first-page":"70464","DOI":"10.1007\/s11356-022-20658-4","article-title":"Intelligent Monitoring Method of Tridimensional Storage System Based on Deep Learning","volume":"29","author":"Liu","year":"2022","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_184","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1287\/inte.2021.1100","article-title":"JD.Com: Operations Research Algorithms Drive Intelligent Warehouse Robots to Work","volume":"52","author":"Qin","year":"2022","journal-title":"INFORMS J. Appl. Anal."},{"key":"ref_185","doi-asserted-by":"crossref","first-page":"1238","DOI":"10.1080\/17517575.2020.1811388","article-title":"Using a Heuristic Multi-Objective Genetic Algorithm to Solve the Storage Assignment Problem for CPS-Based Pick-and-Pass System","volume":"15","author":"Tu","year":"2021","journal-title":"Enterp. Inf. Syst."},{"key":"ref_186","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1080\/00207543.2020.1720927","article-title":"A Multi-Objective Optimisation Study for the Design of an AVS\/RS Warehouse","volume":"59","year":"2021","journal-title":"Int. J. Prod. Res."},{"key":"ref_187","doi-asserted-by":"crossref","first-page":"75","DOI":"10.21278\/TOF.444016220","article-title":"Methodology Proposal for Storage Rationalization by Implementing Principles of Industry 4.0. in a Technology-Driven Warehouse","volume":"44","author":"Zoubek","year":"2021","journal-title":"Trans. FAMENA"},{"key":"ref_188","unstructured":"Chen, H., Wang, Q., Yu, M., Cao, J., and Sun, J. (2018). Internet and Distributed Computing Systems: 11th International Conference, IDCS 2018, Tokyo, Japan, 11\u201313 October 2018, Proceedings 11, Springer."},{"key":"ref_189","doi-asserted-by":"crossref","unstructured":"Chen, M., Lu, Y., and Zhang, C. (2021, January 13). Deadlock-Solving Traffic Control Methods for Automated Guided Vehicle Systems. Proceedings of the 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore.","DOI":"10.1109\/IEEM50564.2021.9673048"},{"key":"ref_190","doi-asserted-by":"crossref","unstructured":"Nguyen Duc, D., Tran Huu, T., and Nananukul, N. (2020). A Dynamic Route-Planning System Based on Industry 4.0 Technology. Algorithms, 13.","DOI":"10.3390\/a13120308"},{"key":"ref_191","doi-asserted-by":"crossref","unstructured":"Fu, X., Li, C., Hui, Y., Yang, J., Pei, W., and Wang, S. (2020, January 20). Space-Time Map Based Path Planning Scheme in Large-Scale Intelligent Warehouse System. Proceedings of the 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece.","DOI":"10.1109\/ITSC45102.2020.9294691"},{"key":"ref_192","doi-asserted-by":"crossref","unstructured":"Han, C., Jeon, H., Oh, J., and Lee, H. (2022). Dynamic Order Picking Method for Multi-UAV System in Intelligent Warehouse. Remote Sens., 14.","DOI":"10.3390\/rs14236106"},{"key":"ref_193","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1504\/IJCSM.2022.128190","article-title":"Research on Intelligent Path Planning Technology of Logistics Robots Based on Giraph Architecture","volume":"16","author":"Xiong","year":"2022","journal-title":"Int. J. Comput. Sci. Math."},{"key":"ref_194","doi-asserted-by":"crossref","first-page":"3945","DOI":"10.1016\/j.procs.2021.09.169","article-title":"Dynamic Path Finding Method and Obstacle Avoidance for Automated Guided Vehicle Navigation in Industry 4.0","volume":"192","author":"Dundar","year":"2021","journal-title":"Procedia Comput. Sci."},{"key":"ref_195","doi-asserted-by":"crossref","unstructured":"Ma, Y. (2021, January 22). Path Planning Based on Improved Ant Colony Optimization in Congestion. Proceedings of the 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Cracow, Poland.","DOI":"10.1109\/IDAACS53288.2021.9661001"},{"key":"ref_196","unstructured":"Lu, H., Guna, J., and Li, Y. (2020, January 8\u201310). An End-to-End Reinforcement Learning Method for Automated Guided Vehicle Path Planning. Proceedings of the International Symposium on Artificial Intelligence and Robotics 2020, Fukuoka, Japan."},{"key":"ref_197","doi-asserted-by":"crossref","unstructured":"El Hamdi, S., Abouabdellah, A., and Oudani, M. (2020, January 28). Efficient Simulated Annealing Algorithm for Wireless Sensors Location in Logistics 4.0. Proceedings of the 2020 5th International Conference on Logistics Operations Management (GOL), Rabat, Morocco.","DOI":"10.1109\/GOL49479.2020.9314747"},{"key":"ref_198","doi-asserted-by":"crossref","first-page":"715440","DOI":"10.3389\/fnbot.2022.715440","article-title":"UWB Indoor Positioning Optimization Algorithm Based on Genetic Annealing and Clustering Analysis","volume":"16","author":"Guo","year":"2022","journal-title":"Front. Neurorobot."},{"key":"ref_199","doi-asserted-by":"crossref","unstructured":"Moura, A., Antunes, J., Dias, A., Martins, A., and Almeida, J. (2021, January 28). Graph-SLAM Approach for Indoor UAV Localization in Warehouse Logistics Applications. Proceedings of the 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Santa Maria da Feira, Portugal.","DOI":"10.1109\/ICARSC52212.2021.9429791"},{"key":"ref_200","doi-asserted-by":"crossref","unstructured":"Souto, G., Morais, I., Faulhaber, L., Ribeiro, G.M., and Henrique Gonzalez, P. (2021, January 28). A Hybrid BRKGA Approach for the Two Stage Capacitated Facility Location Problem. Proceedings of the 2021 IEEE Congress on Evolutionary Computation (CEC), Krak\u00f3w, Poland.","DOI":"10.1109\/CEC45853.2021.9504856"},{"key":"ref_201","doi-asserted-by":"crossref","first-page":"1698","DOI":"10.1109\/TASE.2019.2895104","article-title":"A Fast UHF RFID Localization Method Using Unwrapped Phase-Position Model","volume":"16","author":"Wu","year":"2019","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_202","doi-asserted-by":"crossref","first-page":"2926","DOI":"10.1109\/TIM.2018.2869408","article-title":"Passive UHF-RFID Localization Based on the Similarity Measurement of Virtual Reference Tags","volume":"68","author":"Mo","year":"2019","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_203","doi-asserted-by":"crossref","unstructured":"Motroni, A., Buffi, A., and Nepa, P. (2021). Forklift Tracking: Industry 4.0 Implementation in Large-Scale Warehouses through UWB Sensor Fusion. Appl. Sci., 11.","DOI":"10.3390\/app112210607"},{"key":"ref_204","doi-asserted-by":"crossref","unstructured":"Novak, P., Stoszek, S., and Vyskocil, J. (2020, January 8\u201311). Calibrating Industrial Robots with Absolute Position Tracking System. Proceedings of the 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Vienna, Austria.","DOI":"10.1109\/ETFA46521.2020.9212169"},{"key":"ref_205","doi-asserted-by":"crossref","unstructured":"Qiu, Y., Xu, Y., Yang, L., Lu, J., and Li, D. (2019). Improved Anti-Collision Algorithm for the Application on Intelligent Warehouse. Appl. Sci., 9.","DOI":"10.3390\/app9081596"},{"key":"ref_206","doi-asserted-by":"crossref","unstructured":"El Hamdi, S., Abouabdellah, A., and Oudani, M. (2020, January 2). Scheduling Optimization in Logistics 4.0. Proceedings of the 2020 IEEE 13th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA), Fez, Morocco.","DOI":"10.1109\/LOGISTIQUA49782.2020.9353869"},{"key":"ref_207","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1016\/j.egyr.2022.03.126","article-title":"Research and Implementation of High Priority Scheduling Algorithm Based on Intelligent Storage of Power Materials","volume":"8","author":"Jin","year":"2022","journal-title":"Energy Rep."},{"key":"ref_208","doi-asserted-by":"crossref","unstructured":"Kattepur, A., Rath, H.K., Simha, A., and Mukherjee, A. (2018, January 9\u201313). Distributed Optimization in Multi-Agent Robotics for Industry 4.0 Warehouses. Proceedings of the 33rd Annual ACM Symposium on Applied Computing, Pau, France.","DOI":"10.1145\/3167132.3167221"},{"key":"ref_209","doi-asserted-by":"crossref","unstructured":"Liu, Y., Ji, S., Su, Z., and Guo, D. (2019). Multi-Objective AGV Scheduling in an Automatic Sorting System of an Unmanned (Intelligent) Warehouse by Using Two Adaptive Genetic Algorithms and a Multi-Adaptive Genetic Algorithm. PLoS ONE, 14.","DOI":"10.1371\/journal.pone.0226161"},{"key":"ref_210","doi-asserted-by":"crossref","first-page":"121316","DOI":"10.1109\/ACCESS.2021.3105102","article-title":"A Novel Maximin-Based Multi-Objective Evolutionary Algorithm Using One-by-One Update Scheme for Multi-Robot Scheduling Optimization","volume":"9","author":"Yang","year":"2021","journal-title":"IEEE Access"},{"key":"ref_211","doi-asserted-by":"crossref","unstructured":"Gao, J., Li, Y., Xu, Y., and Lv, S. (2022). A Two-Objective ILP Model of OP-MATSP for the Multi-Robot Task Assignment in an Intelligent Warehouse. Appl. Sci., 12.","DOI":"10.3390\/app12104843"},{"key":"ref_212","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1007\/s10845-018-1459-y","article-title":"A Mechanism for Scheduling Multi Robot Intelligent Warehouse System Face with Dynamic Demand","volume":"31","author":"Li","year":"2020","journal-title":"J. Intell. Manuf."},{"key":"ref_213","first-page":"2056617","article-title":"Multirobot Adaptive Task Allocation of Intelligent Warehouse Based on Evolutionary Strategy","volume":"2022","author":"Liu","year":"2022","journal-title":"J. Sensors"},{"key":"ref_214","doi-asserted-by":"crossref","first-page":"2021535","DOI":"10.1155\/2022\/2021535","article-title":"Intelligent Warehouse Robot Scheduling System Using a Modified Nondominated Sorting Algorithm","volume":"2022","author":"Ma","year":"2022","journal-title":"Discret. Dyn. Nat. Soc."},{"key":"ref_215","doi-asserted-by":"crossref","unstructured":"Oliveira, G.S., Roning, J., Carvalho, J.T., and Plentz, P.D.M. (2022, January 4). Efficient Task Allocation in Smart Warehouses with Multi-Delivery Stations and Heterogeneous Robots. Proceedings of the 2022 25th International Conference on Information Fusion (FUSION), Link\u00f6ping, Sweden.","DOI":"10.23919\/FUSION49751.2022.9841337"},{"key":"ref_216","doi-asserted-by":"crossref","unstructured":"Sarkar, C., Dey, S., and Agarwal, M. (2018, January 20\u201324). Semantic Knowledge Driven Utility Calculation towards Efficient Multi-Robot Task Allocation. Proceedings of the 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE), Munich, Germany.","DOI":"10.1109\/COASE.2018.8560555"},{"key":"ref_217","first-page":"3566","article-title":"Task Allocation of Intelligent Warehouse Picking System Based on Multi-Robot Coalition","volume":"13","author":"Xue","year":"2019","journal-title":"KSII Trans. Internet Inf. Syst."},{"key":"ref_218","doi-asserted-by":"crossref","first-page":"102122","DOI":"10.1016\/j.rcim.2021.102122","article-title":"A Novel Robot Co-Worker System for Paint Factories without the Need of Existing Robotic Infrastructure","volume":"70","author":"Rey","year":"2021","journal-title":"Robot. Comput. Integr. Manuf."},{"key":"ref_219","doi-asserted-by":"crossref","unstructured":"Li, H., Wang, S., Zhen, L., and Wang, X. (2022). Data-Driven Optimization for Automated Warehouse Operations Decarbonization. Ann. Oper. Res.","DOI":"10.1007\/s10479-022-04972-1"},{"key":"ref_220","doi-asserted-by":"crossref","unstructured":"Oxenstierna, J., Malec, J., and Krueger, V. (2022, January 3\u20135). Analysis of Computational Efficiency in Iterative Order Batching Optimization. Proceedings of the 11th International Conference on Operations Research and Enterprise Systems, Online.","DOI":"10.5220\/0010837700003117"},{"key":"ref_221","doi-asserted-by":"crossref","first-page":"4977","DOI":"10.1007\/s00170-022-09018-1","article-title":"Efficient Localization in Warehouse Logistics: A Comparison of LMS Approaches for 3D Multilateration of Passive UHF RFID Tags","volume":"120","author":"Tripicchio","year":"2022","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_222","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1109\/TMECH.2019.2899365","article-title":"Incremental Reinforcement Learning with Prioritized Sweeping for Dynamic Environments","volume":"24","author":"Wang","year":"2019","journal-title":"IEEE\/ASME Trans. Mechatron."},{"key":"ref_223","doi-asserted-by":"crossref","first-page":"19047","DOI":"10.1109\/JSEN.2021.3088007","article-title":"DepthLiDAR: Active Segmentation of Environment Depth Map Into Mobile Sensors","volume":"21","author":"Limeira","year":"2021","journal-title":"IEEE Sens. J."},{"key":"ref_224","doi-asserted-by":"crossref","unstructured":"Martins, A., Costelha, H., and Neves, C. (2019, January 24\u201326). Shop Floor Virtualization and Industry 4.0. Proceedings of the 2019 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Porto, Portugal.","DOI":"10.1109\/ICARSC.2019.8733657"},{"key":"ref_225","first-page":"341846","article-title":"E-Commerce Logistics Inspection System Based on Artificial Intelligence Technology in the Context of Big Data","volume":"2022","author":"Chen","year":"2022","journal-title":"Secur. Commun. Netw."},{"key":"ref_226","unstructured":"Galv\u00e3o, J., Ribeiro, D., Machado, I., Ferreira, F., Gon\u00e7alves, J., Faria, R., Moreira, G., Costa, C., Cortez, P., and Santos, M.Y. (2022). Research Challenges in Information Science: 16th International Conference, RCIS 2022, Barcelona, Spain, 17\u201320 May 2022, Proceedings, Springer."},{"key":"ref_227","doi-asserted-by":"crossref","unstructured":"Silva, N., Barros, J., Santos, M.Y., Costa, C., Cortez, P., Carvalho, M.S., and Gon\u00e7alves, J.N.C. (2021). Advancing Logistics 4.0 with the Implementation of a Big Data Warehouse: A Demonstration Case for the Automotive Industry. Electronics, 10.","DOI":"10.3390\/electronics10182221"},{"key":"ref_228","doi-asserted-by":"crossref","first-page":"916","DOI":"10.1016\/j.ifacol.2019.11.356","article-title":"A Self-Adapted Swarm Architecture to Handle Big Data for \u201cFactories of the Future\u201d","volume":"52","author":"Guerreiro","year":"2019","journal-title":"IFAC-PapersOnLine"},{"key":"ref_229","doi-asserted-by":"crossref","unstructured":"Keung, K.L., Lee, C.K.M., and Yiu, Y.H. (2021, January 13). A Machine Learning Predictive Model for Shipment Delay and Demand Forecasting for Warehouses and Sales Data. Proceedings of the 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore.","DOI":"10.1109\/IEEM50564.2021.9672946"},{"key":"ref_230","unstructured":"Sternberg, E., and Atzmueller, M. (2018). Foundations of Intelligent Systems: 24th International Symposium, ISMIS 2018, Limassol, Cyprus, 29\u201331 October 2018, Proceedings 24, Springer."},{"key":"ref_231","doi-asserted-by":"crossref","first-page":"106033","DOI":"10.1016\/j.cie.2019.106033","article-title":"Simulation of an Automotive Supply Chain Using Big Data","volume":"137","author":"Vieira","year":"2019","journal-title":"Comput. Ind. Eng."},{"key":"ref_232","doi-asserted-by":"crossref","first-page":"101956","DOI":"10.1016\/j.simpat.2019.101956","article-title":"Supply Chain Hybrid Simulation: From Big Data to Distributions and Approaches Comparison","volume":"97","author":"Vieira","year":"2019","journal-title":"Simul. Model. Pract. Theory"},{"key":"ref_233","first-page":"29","article-title":"Lean Principle for Organizing Items in an Automated Storage and Retrieval System: An Association Rule Mining-Based Approach","volume":"10","author":"Bevilacqua","year":"2019","journal-title":"Manag. Prod. Eng. Rev."},{"key":"ref_234","doi-asserted-by":"crossref","unstructured":"Kihel, Y. (2022). El Digital Transition Methodology of a Warehouse in the Concept of Sustainable Development with an Industrial Case Study. Sustainability, 14.","DOI":"10.3390\/su142215282"},{"key":"ref_235","doi-asserted-by":"crossref","first-page":"1367","DOI":"10.1007\/s12613-021-2325-z","article-title":"Intelligent Logistics System of Steel Bar Warehouse Based on Ubiquitous Information","volume":"28","author":"He","year":"2021","journal-title":"Int. J. Miner. Metall. Mater."},{"key":"ref_236","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1108\/IJICC-12-2020-0212","article-title":"Multi-Objective Vendor Managed Inventory System with Interval Type-2 Fuzzy Demand and Order Quantities","volume":"14","author":"Ashraf","year":"2021","journal-title":"Int. J. Intell. Comput. Cybern."},{"key":"ref_237","doi-asserted-by":"crossref","unstructured":"Duca, O., Minca, E., Filipescu, A., Bidica, C., and Paun, M. (2020, January 8). Optimal Control of Automated Resupply on a Flexible Manufacturing Mechatronics Line. Proceedings of the 2020 24th International Conference on System Theory, Control and Computing (ICSTCC), Sinaia, Romania.","DOI":"10.1109\/ICSTCC50638.2020.9259660"},{"key":"ref_238","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.procir.2020.01.005","article-title":"Maximum Flow of Complex Manufacturing Networks","volume":"86","author":"Omar","year":"2019","journal-title":"Procedia CIRP"},{"key":"ref_239","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s41315-021-00169-0","article-title":"Non-Negative Discriminative Collective Target Nearest-Neighbor Representation","volume":"6","author":"Sun","year":"2022","journal-title":"Int. J. Intell. Robot. Appl."},{"key":"ref_240","doi-asserted-by":"crossref","unstructured":"Dimolitsas, I., Avgeris, M., Spatharakis, D., Dechouniotis, D., and Papavassiliou, S. (2021, January 7). Enabling Industrial Network Slicing Orchestration: A Collaborative Edge Robotics Use Case. Proceedings of the 2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), Athens, Greece.","DOI":"10.1109\/MeditCom49071.2021.9647615"},{"key":"ref_241","doi-asserted-by":"crossref","unstructured":"Ricart-Sanchez, R., Salva-Garcia, P., Chirivella-Perez, E., Calero, J.M.A., and Wang, Q. (2021, January 8). Empirical Design, Prototyping and Evaluation of a New Hardware-Based Network Slicing Approach for 6G Backbone Networks. Proceedings of the 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC\/6G Summit), Porto, Portugal.","DOI":"10.1109\/EuCNC\/6GSummit51104.2021.9482495"},{"key":"ref_242","unstructured":"Herzog, N.V., and Beharic, A. (2020). Human Systems Engineering and Design II: Proceedings of the 2nd International Conference on Human Systems Engineering and Design (IHSED2019): Future Trends and Applications, Universit\u00e4t der Bundeswehr M\u00fcnchen, Munich, Germany, 16\u201318 September 2019, Springer."},{"key":"ref_243","first-page":"417","article-title":"Visual and Optometric Issues with Smart Glasses in Industry 4.0 Working Environment","volume":"13","author":"Herzog","year":"2018","journal-title":"Adv. Prod. Eng. Manag."},{"key":"ref_244","doi-asserted-by":"crossref","first-page":"952","DOI":"10.1016\/j.promfg.2018.10.111","article-title":"A Novel Concept of CNC Machining Center Automatic Feeder","volume":"17","author":"Barbosa","year":"2018","journal-title":"Procedia Manuf."},{"key":"ref_245","doi-asserted-by":"crossref","unstructured":"Bright, A.G., and Ponis, S.T. (2021). Introducing Gamification in the AR-Enhanced Order Picking Process: A Proposed Approach. Logistics, 5.","DOI":"10.3390\/logistics5010014"},{"key":"ref_246","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.jsr.2022.08.001","article-title":"Driver Injuries in Heavy vs. Light and Medium Truck Local Crashes, 2010\u20132019","volume":"83","author":"Bunn","year":"2022","journal-title":"J. Safety Res."},{"key":"ref_247","doi-asserted-by":"crossref","first-page":"219","DOI":"10.17270\/J.LOG.2020.415","article-title":"Cost Development in Logistics Due to Industry 4.0","volume":"16","year":"2020","journal-title":"Logforum"},{"key":"ref_248","doi-asserted-by":"crossref","unstructured":"Chakroun, A., Hani, Y., Elmhamedi, A., and Masmoudi, F. (2022). A Proposed Integrated Manufacturing System of a Workshop Producing Brass Accessories in the Context of Industry 4.0. Int. J. Adv. Manuf. Technol.","DOI":"10.1007\/s00170-022-10057-x"},{"key":"ref_249","doi-asserted-by":"crossref","first-page":"03008","DOI":"10.1051\/matecconf\/201816703008","article-title":"Study of Storage Shelves Deformation Using Finite Element Analysis during Seismic","volume":"167","author":"Chen","year":"2018","journal-title":"MATEC Web Conf."},{"key":"ref_250","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.procir.2020.01.044","article-title":"Benchmarking Low-Cost Inertial Measurement Units for Indoor Localisation and Navigation of AGVs","volume":"86","author":"Cramer","year":"2019","journal-title":"Procedia CIRP"},{"key":"ref_251","doi-asserted-by":"crossref","unstructured":"Frank\u00f3, A., Vida, G., and Varga, P. (2020). Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0. Sensors, 20.","DOI":"10.3390\/s20133709"},{"key":"ref_252","doi-asserted-by":"crossref","unstructured":"Janczak, D., Walendziuk, W., Sadowski, M., Zankiewicz, A., Konopko, K., and Idzkowski, A. (2022). Accuracy Analysis of the Indoor Location System Based on Bluetooth Low-Energy RSSI Measurements. Energies, 15.","DOI":"10.3390\/en15238832"},{"key":"ref_253","unstructured":"Karwasz, A., and Pacze\u015bny, \u0141. (2021). Advanced Manufacturing Processes II: Selected Papers from the 2nd Grabchenko\u2019s International Conference on Advanced Manufacturing Processes (InterPartner-2020), Odessa, Ukraine, 8\u201311 September 2020, Springer."},{"key":"ref_254","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1504\/IJSA.2018.098423","article-title":"Perspectives for Application of the Internet of Things and Big Data Analytics on End of Life Aircraft Treatment","volume":"4","author":"Keivanpour","year":"2018","journal-title":"Int. J. Sustain. Aviat."},{"key":"ref_255","doi-asserted-by":"crossref","first-page":"100998","DOI":"10.1016\/j.aei.2019.100998","article-title":"Smart Robotic Mobile Fulfillment System with Dynamic Conflict-Free Strategies Considering Cyber-Physical Integration","volume":"42","author":"Lee","year":"2019","journal-title":"Adv. Eng. Inform."},{"key":"ref_256","doi-asserted-by":"crossref","first-page":"1615","DOI":"10.1007\/s11276-019-02057-9","article-title":"Conceptual Model for Informing User with Innovative Smart Wearable Device in Industry 4.0","volume":"27","author":"Kolarovszki","year":"2021","journal-title":"Wirel. Netw."},{"key":"ref_257","unstructured":"Ren, P., Lin, W., Liang, Y., Wang, R., Liu, X., Zuo, B., Chen, T., Li, X., Sheng, M., and Zhang, Y. (2021). Health Information Science: 10th International Conference, HIS 2021, Melbourne, VIC, Australia, 25\u201328 October 2021, Proceedings 10, Springer."},{"key":"ref_258","doi-asserted-by":"crossref","first-page":"e378","DOI":"10.7717\/peerj-cs.378","article-title":"A Novel Framework for Storage Assignment Optimization Inspired by Finite Element Method","volume":"7","author":"Tabatabaei","year":"2021","journal-title":"PeerJ Comput. Sci."},{"key":"ref_259","doi-asserted-by":"crossref","unstructured":"Tjhin, V.U., and Riantini, R.E. (2021, January 25). Intelligent Feeder Development Plan as Fish Feed Technology for Sustainable Integration and Delivery. Proceedings of the 2021 3rd International Conference on Cybernetics and Intelligent System (ICORIS), Makasar, Indonesia.","DOI":"10.1109\/ICORIS52787.2021.9649602"},{"key":"ref_260","first-page":"836","article-title":"A Single Side Priority Based GA Approach for 3D Printing Center Integration to Spare Part Supply Chain in Automotive Industry","volume":"28","author":"Tuzkaya","year":"2021","journal-title":"Teh. Vjesn. Tech. Gaz."},{"key":"ref_261","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.promfg.2020.02.035","article-title":"Supply Chain Risk Management: An Interactive Simulation Model in a Big Data Context","volume":"42","author":"Vieira","year":"2020","journal-title":"Procedia Manuf."},{"key":"ref_262","doi-asserted-by":"crossref","first-page":"022021","DOI":"10.1088\/1755-1315\/267\/2\/022021","article-title":"On the Innovative Operation of Exhibition of the Taobao E-Commerce Run by Internet Celebrity","volume":"267","author":"Zhang","year":"2019","journal-title":"IOP Conf. Ser. Earth Environ. Sci."},{"key":"ref_263","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1007\/s13755-022-00183-x","article-title":"A Heterogeneous Multi-Modal Medical Data Fusion Framework Supporting Hybrid Data Exploration","volume":"10","author":"Zhang","year":"2022","journal-title":"Health Inf. Sci. Syst."},{"key":"ref_264","doi-asserted-by":"crossref","first-page":"120540","DOI":"10.1016\/j.jclepro.2020.120540","article-title":"Repeated Assessment of Process Safety Culture in Major Hazard Industries in the Rotterdam Region (Netherlands)","volume":"257","author":"Zwetsloot","year":"2020","journal-title":"J. Clean. Prod."},{"key":"ref_265","doi-asserted-by":"crossref","unstructured":"Ahmad, T., and Van Looy, A. (2021). Development and Testing of an Explorative BPM Acceptance Model: Insights from the COVID-19 Pandemic. PLoS ONE, 16.","DOI":"10.1371\/journal.pone.0259226"},{"key":"ref_266","doi-asserted-by":"crossref","first-page":"6485","DOI":"10.1080\/00207543.2016.1211342","article-title":"Environmental Impact of Warehousing: A Scenario Analysis for the United States","volume":"55","author":"Ries","year":"2017","journal-title":"Int. J. Prod. Res."},{"key":"ref_267","doi-asserted-by":"crossref","first-page":"119869","DOI":"10.1016\/j.jclepro.2019.119869","article-title":"Industry 4.0, Digitization, and Opportunities for Sustainability","volume":"252","author":"Ghobakhloo","year":"2020","journal-title":"J. Clean. Prod."},{"key":"ref_268","doi-asserted-by":"crossref","first-page":"107776","DOI":"10.1016\/j.ijpe.2020.107776","article-title":"Industry 4.0 Technologies Assessment: A Sustainability Perspective","volume":"229","author":"Bai","year":"2020","journal-title":"Int. J. Prod. Econ."},{"key":"ref_269","doi-asserted-by":"crossref","first-page":"696","DOI":"10.1108\/IJPPM-10-2020-0511","article-title":"Implementation Barriers of Smart Technology in Indian Sustainable Warehouse by Using a Delphi-ISM-ANP Approach","volume":"71","author":"Kumar","year":"2022","journal-title":"Int. J. Product. Perform. Manag."},{"key":"ref_270","doi-asserted-by":"crossref","unstructured":"Werbinska-Wojciechowska, S., and Winiarska, K. (2023). Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review. Sensors, 23.","DOI":"10.3390\/s23031409"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/8\/4105\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:19:11Z","timestamp":1760123951000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/8\/4105"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,19]]},"references-count":270,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2023,4]]}},"alternative-id":["s23084105"],"URL":"https:\/\/doi.org\/10.3390\/s23084105","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,19]]}}}