{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T18:43:44Z","timestamp":1764873824854,"version":"build-2065373602"},"reference-count":29,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2021,2,17]],"date-time":"2021-02-17T00:00:00Z","timestamp":1613520000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Blockchain technology has been applied to logistics tracking, but it is not cost-effective. The development of smart lockers has solved the problem of repeated distribution to improve logistics efficiency, thereby becoming a solution with convenience and privacy compared to the in-store purchase and pickup alternative. This study prioritized the key factors of smart lockers using a simulated annealing\u2013genetic algorithm by fractional factorial design (FFD-SAGA) and grey relational analysis, and investigated the main users of smart lockers by grey multiple attribute decision analysis. The results show that the Web application programming interface (API) concatenation and money flow provider are the key success factors of smart lockers, and office workers are the main users of the lockers. Hence, how to better meet the needs of office workers will be an issue of concern for service providers.<\/jats:p>","DOI":"10.3390\/sym13020329","type":"journal-article","created":{"date-parts":[[2021,2,17]],"date-time":"2021-02-17T04:49:01Z","timestamp":1613537341000},"page":"329","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Analysis of the Optimal Application of Blockchain-Based Smart Lockers in the Logistics Industry Based on FFD-SAGA and Grey Decision-Making"],"prefix":"10.3390","volume":"13","author":[{"given":"Shen-Tsu","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Commerce Automation and Management, National Pingtung University, No.51, Minsheng E. Rd., Pingtung City 900, Taiwan"}]},{"given":"Meng-Hua","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Industrial Management &amp; Institute of Industrial Engineering and Management, National Formosa University, Huwei, Yunlin City 632, Taiwan"},{"name":"Smart Machine and Intelligent Manufacturing Research Center, National Formosa University, Huwei, Yunlin City 632, Taiwan"}]},{"given":"Chun-Chi","family":"Lien","sequence":"additional","affiliation":[{"name":"Department of Business Administrator, National Chung Hsing University, Taichung City 402, Taiwan"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Yoo, M., and Won, Y. (2018). A Study on the transparent price tracing system in supply chain management based on blockchain. Sustainability, 10.","DOI":"10.3390\/su10114037"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Kouhizadeh, M., and Sarkis, J. (2018). Blockchain Practices, Potentials, and Perspectives in Greening Supply Chains. Sustainability, 10.","DOI":"10.3390\/su10103652"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2020\/5635404","article-title":"Coordination of Supply Chain under Blockchain System-Based Product Lifecycle Information Sharing Effort","volume":"2020","author":"Hayrutdinov","year":"2020","journal-title":"J. Adv. Transp."},{"key":"ref_4","first-page":"32","article-title":"Development trend for the application of blockchain and IoT in logistics industry","volume":"2","author":"Lo","year":"2018","journal-title":"C.I.E.E. Mag."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2885","DOI":"10.1080\/00207543.2014.946569","article-title":"Effects of human resource management practices on logistics and supply chain competencies\u2014Evidence from China logistics service market","volume":"53","author":"Ding","year":"2014","journal-title":"Int. J. Prod. Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1016\/j.giq.2017.09.007","article-title":"Blockchain in government: Benefits and implications of distributed ledger technology for information sharing","volume":"34","author":"Ubacht","year":"2017","journal-title":"Gov. Inf. Q."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1016\/j.csbj.2018.08.002","article-title":"A blockchain-based notarization service for biomedical knowledge retrieval","volume":"16","author":"Kleinaki","year":"2018","journal-title":"Comput. Struct. Biotechnol. J."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1080\/00207543.2017.1395490","article-title":"A parcel locker network as a solution to the logistics last mile problem","volume":"56","author":"Deutsch","year":"2018","journal-title":"Int. J. Prod."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.future.2018.05.046","article-title":"On blockchain and its integration with IoT. Challenges and opportunities","volume":"88","author":"Reyna","year":"2018","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.bushor.2018.08.012","article-title":"Blockchain technology for enhancing supply chain resilience","volume":"62","author":"Min","year":"2019","journal-title":"Bus. Horiz."},{"key":"ref_11","first-page":"1","article-title":"Blockchain mechanisms for IoT security","volume":"1\u20132","author":"Minoli","year":"2018","journal-title":"IOT"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1016\/j.procs.2018.03.017","article-title":"Approaches to front-end IoT application development for the Ethereum blockchain","volume":"129","author":"Kos","year":"2018","journal-title":"Procedia Comput. Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1016\/j.procs.2018.07.193","article-title":"How blockchain improves the supply chain: Case study alimentary supply chain","volume":"134","author":"Prieto","year":"2018","journal-title":"Procedia Comput. Sci."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.rcim.2018.05.011","article-title":"Toward a blockchain cloud manufacturing system as a peer to peer distributed network platform","volume":"54","author":"Li","year":"2018","journal-title":"Robot. Comput. Manuf."},{"key":"ref_15","first-page":"1","article-title":"A Hybrid Model for Prediction in Asphalt Pavement Performance Based on Support Vector Machine and Grey Relation Analysis","volume":"2020","author":"Wang","year":"2020","journal-title":"J. Adv. Transp."},{"key":"ref_16","unstructured":"Huang, Y.T., and Liu, Z.L. (2004, January 5\u20136). Effectiveness analysis of constructing orthogonal simulated annealing method using partial factor design. Proceedings of the 9th Symposium on Artificial Intelligence and Application, NCCU, Taipei, Taiwan."},{"key":"ref_17","unstructured":"Adler, D. (April, January 28). Genetic Algorithms and Simulated Annealing: A Marriage Proposal. Proceedings of the IEEE International Conference on Neural Networks, San Francisco, CA, USA."},{"key":"ref_18","unstructured":"Esbensen, H., and Mazumder, P. (2002, January 5\u20138). SAGA: A unification of the genetic algorithm with simulated annealing and its application to macro-cell placement. Proceedings of the 7th International Conference on VLSI Design, Calcutta, India."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1752","DOI":"10.1109\/21.257766","article-title":"Applying the genetic approach to simulated annealing in solving some NP-hard problems","volume":"23","author":"Lin","year":"1993","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/0167-8191(94)00071-H","article-title":"Parallel recombinative simulated annealing: A genetic algorithm","volume":"21","author":"Mahfoud","year":"1995","journal-title":"Parallel Comput."},{"key":"ref_21","unstructured":"Koakutsu, S., and Kang, M. (1996, January 15\u201317). Genetic Simulated Annealing and Application to Non-slicing Floorplan Design. Proceedings of the 5th ACM\/SIGDA Physical Design workshop, Reston, VA, USA. Technical Report."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Almomani, O. (2020). A Feature Selection Model for Network Intrusion Detection System Based on PSO, GWO, FFA and GA Algorithms. Symmetry, 12.","DOI":"10.3390\/sym12061046"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Albadr, M.A., Tiun, S., Ayob, M., and Al-Dhief, F. (2020). Genetic Algorithm Based on Natural Selection Theory for Optimization Problems. Symmetry, 12.","DOI":"10.3390\/sym12111758"},{"key":"ref_24","first-page":"71","article-title":"Multi-criteria Decision Analysis Based on SLA Utility Model: A Method for Optimized Multi-tenancy Services Selection","volume":"145","author":"Chang","year":"2012","journal-title":"CCL Tech. J."},{"key":"ref_25","first-page":"297","article-title":"A Selection Approach for Optimized Web Services Compositions","volume":"2","author":"Chi","year":"2004","journal-title":"Electron. Commer. Stud."},{"key":"ref_26","unstructured":"Chien, C.F. (2014). Decision Analysis and Management: A Unison Framework for Total Decision Quality Enhancement, Yeh Yeh Book Gallery."},{"key":"ref_27","unstructured":"Hong, W.W. (2018). Smart Business and Logistics Technology Achievements and Application Promotion Project Briefing Session\u2014Intelligent Logistics, Industrial Technology Research Institute, Service System Technology Center."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1177\/1550147719864890","article-title":"Blockchain-based secure and fair crowdsourcing scheme","volume":"15","author":"Zhang","year":"2019","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_29","first-page":"2","article-title":"A secure message-passing framework for inter-vehicular communication using blockchain","volume":"15","author":"Hassan","year":"2019","journal-title":"Int. J. Distrib. Sens. Netw."}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/13\/2\/329\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:25:04Z","timestamp":1760160304000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/13\/2\/329"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,17]]},"references-count":29,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2021,2]]}},"alternative-id":["sym13020329"],"URL":"https:\/\/doi.org\/10.3390\/sym13020329","relation":{},"ISSN":["2073-8994"],"issn-type":[{"type":"electronic","value":"2073-8994"}],"subject":[],"published":{"date-parts":[[2021,2,17]]}}}