{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T20:16:29Z","timestamp":1784837789636,"version":"3.55.0"},"reference-count":78,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T00:00:00Z","timestamp":1777075200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Industrial Information Integration"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.jii.2026.101122","type":"journal-article","created":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T23:59:58Z","timestamp":1777161598000},"page":"101122","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Building operational resilience: A digital twin approach in mixed-model assembly line"],"prefix":"10.1016","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3668-7011","authenticated-orcid":false,"given":"Virginia","family":"Fani","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7753-6831","authenticated-orcid":false,"given":"Ilaria","family":"Bucci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4971-2837","authenticated-orcid":false,"given":"Monica","family":"Rossi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5547-4225","authenticated-orcid":false,"given":"Romeo","family":"Bandinelli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jii.2026.101122_bib0001","doi-asserted-by":"crossref","first-page":"7","DOI":"10.36676\/jams.v1.i2.8","article-title":"Strategic management in the age of disruption: navigating uncertainty and embracing innovation","volume":"1","author":"Chauhan","year":"2024","journal-title":"Journal of Advanced Management Studies"},{"key":"10.1016\/j.jii.2026.101122_bib0002","series-title":"Advances in Transdisciplinary Engineering","doi-asserted-by":"crossref","DOI":"10.3233\/ATDE230070","article-title":"Reconfigurable Digital Twin Framework for Manufacturing Systems","author":"Cai","year":"2023"},{"key":"10.1016\/j.jii.2026.101122_bib0003","doi-asserted-by":"crossref","DOI":"10.1007\/s00291-024-00795-7","article-title":"Data-based optimisation of Intra-Hospital patient transport capacity planning","author":"Kropp","year":"2024","journal-title":"OR Spectrum"},{"key":"10.1016\/j.jii.2026.101122_bib0004","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1016\/j.procir.2022.05.043","article-title":"Real-time resilient scheduling by Digital Twin Technology in a flow-shop manufacturing system","volume":"107","author":"Eunike","year":"2022","journal-title":"Procedia CIRP"},{"key":"10.1016\/j.jii.2026.101122_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.jii.2024.100679","article-title":"A digital twin for operations management in manufacturing engineering-to-order environments","volume":"42","author":"Vinci-Carlavan","year":"2024","journal-title":"Journal of Industrial Information Integration"},{"key":"10.1016\/j.jii.2026.101122_bib0006","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1007\/s12063-022-00345-w","article-title":"Assessing strategies to mitigate the impacts of a pandemic in apparel supply chains","volume":"17","author":"Chowdhury","year":"2024","journal-title":"Oper Manag Res"},{"key":"10.1016\/j.jii.2026.101122_bib0007","first-page":"1","article-title":"Digital twins on the resilience of supply chain under COVID-19 Pandemic","author":"Lv","year":"2024","journal-title":"IEEE Trans. Eng. Manage."},{"key":"10.1016\/j.jii.2026.101122_bib0008","article-title":"Can industry 5.0 technologies overcome supply chain disruptions?\u2014A perspective study on pandemics, war, and climate change issues","author":"Agrawal","year":"2023","journal-title":"Operations Management Research"},{"key":"10.1016\/j.jii.2026.101122_bib0009","doi-asserted-by":"crossref","first-page":"965","DOI":"10.1007\/s10479-020-03912-1","article-title":"Supply chain disruptions and resilience: a major review and future research agenda","volume":"319","author":"Katsaliaki","year":"2022","journal-title":"Ann Oper Res"},{"key":"10.1016\/j.jii.2026.101122_bib0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.jii.2025.100974","article-title":"Cognitive digital twin for industrial maintenance: operational framework for fault detection and diagnosis","volume":"48","author":"Zappa","year":"2025","journal-title":"Journal of Industrial Information Integration"},{"key":"10.1016\/j.jii.2026.101122_bib0011","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.jmsy.2021.01.005","article-title":"Automated Manufacturing System Discovery and Digital Twin Generation","volume":"59","author":"Lugaresi","year":"2021","journal-title":"Journal of Manufacturing Systems"},{"key":"10.1016\/j.jii.2026.101122_bib0012","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1007\/s00291-021-00652-x","article-title":"Stochastic mixed model sequencing with multiple stations using reinforcement learning and probability quantiles","volume":"44","author":"Brammer","year":"2022","journal-title":"OR Spectrum"},{"key":"10.1016\/j.jii.2026.101122_bib0013","article-title":"Managing uncertainty in production sequencing: a digital twin framework for mixed-model assembly lines","author":"Fani","year":"2025","journal-title":"Journal of Simulation"},{"key":"10.1016\/j.jii.2026.101122_bib0014","series-title":"Proceedings of the 2019 American Control Conference (ACC)","first-page":"3650","article-title":"Dynamic rerouting of cyber-physical production systems in response to disruptions based on SDC Framework","author":"Qamsane","year":"2019"},{"key":"10.1016\/j.jii.2026.101122_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.arcontrol.2025.101031","article-title":"Digital Twins in manufacturing: a unified conceptual framework","volume":"60","author":"Villegas","year":"2025","journal-title":"Annu Rev Control"},{"key":"10.1016\/j.jii.2026.101122_bib0016","series-title":"Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas Into Action","first-page":"502","article-title":"A survey of digital supply chain twins\u2019 Implementations","volume":"663","author":"Dy","year":"2022"},{"key":"10.1016\/j.jii.2026.101122_bib0017","doi-asserted-by":"crossref","DOI":"10.1016\/j.jii.2024.100725","article-title":"A digital twin-assisted intelligent fault diagnosis method for hydraulic systems","volume":"42","author":"Yang","year":"2024","journal-title":"Journal of Industrial Information Integration"},{"key":"10.1016\/j.jii.2026.101122_bib0018","article-title":"Vulnerability evaluation for a smartphone digital twin workshop under temporal and spatial disruptions","volume":"10","author":"Zhang","year":"2022","journal-title":"Machines"},{"key":"10.1016\/j.jii.2026.101122_bib0019","first-page":"1","article-title":"Deploying hybrid modelling to support the development of a digital twin for supply chain master planning under disruptions","author":"Badakhshan","year":"2023","journal-title":"International Journal of Production Research"},{"key":"10.1016\/j.jii.2026.101122_bib0020","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/00207543.2025.2579770","article-title":"Advancing Human-centric zero defect manufacturing: a theoretical framework and practical insights","author":"Fani","year":"2025","journal-title":"International Journal of Production Research"},{"key":"10.1016\/j.jii.2026.101122_bib0021","series-title":"Advances in Production Management Systems. Artificial Intelligence For Sustainable and Resilient Production Systems","first-page":"218","article-title":"Digital Twin Framework for machine learning-enabled integrated production and logistics processes","volume":"630","author":"Greis","year":"2021"},{"key":"10.1016\/j.jii.2026.101122_bib0022","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2020.107094","article-title":"Simulation-based decision support tool for in-house logistics: the basis for a digital twin","volume":"153","author":"Coelho","year":"2021","journal-title":"Computers & Industrial Engineering"},{"key":"10.1016\/j.jii.2026.101122_bib0023","doi-asserted-by":"crossref","first-page":"1421","DOI":"10.1007\/s12063-024-00513-0","article-title":"Towards supply chain resilience: a structured process approach","volume":"17","author":"Stentoft","year":"2024","journal-title":"Oper Manag Res"},{"key":"10.1016\/j.jii.2026.101122_bib0024","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1007\/s12063-024-00495-z","article-title":"Navigating global Supply Networks: a strategic framework for resilience in the apparel industry","volume":"17","author":"An","year":"2024","journal-title":"Oper Manag Res"},{"key":"10.1016\/j.jii.2026.101122_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.110494","article-title":"Manufacturing resilience through disruption mitigation using attention-based consistently-attributed graph embedded decision support system","volume":"197","author":"Yan Hong Lim","year":"2024","journal-title":"Computers & Industrial Engineering"},{"key":"10.1016\/j.jii.2026.101122_bib0026","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.110030","article-title":"Optimal resilience strategy for manufacturers to deal with supply disruptions: investment in supply stability versus dual sourcing","volume":"190","author":"Lou","year":"2024","journal-title":"Computers & Industrial Engineering"},{"key":"10.1016\/j.jii.2026.101122_bib0027","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1007\/s12063-023-00418-4","article-title":"Mitigating the impact of demand disruption on perishable inventory in a two-warehouse system","volume":"17","author":"Rana","year":"2024","journal-title":"Oper Manag Res"},{"key":"10.1016\/j.jii.2026.101122_bib0028","doi-asserted-by":"crossref","DOI":"10.3390\/pr11082353","article-title":"The Industrial digital energy twin as a tool for the comprehensive optimization of industrial processes","volume":"11","author":"Rubio-Rico","year":"2023","journal-title":"Processes"},{"key":"10.1016\/j.jii.2026.101122_bib0029","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1007\/s00291-021-00636-x","article-title":"Analysis of an inventory system with emergency ordering option at the time of supply disruption","volume":"43","author":"Poormoaied","year":"2021","journal-title":"OR Spectrum"},{"key":"10.1016\/j.jii.2026.101122_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2021.107593","article-title":"Simulation-based assessment of supply chain resilience with consideration of recovery strategies in the COVID-19 pandemic context","volume":"160","author":"Moosavi","year":"2021","journal-title":"Computers & industrial engineering"},{"key":"10.1016\/j.jii.2026.101122_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2022.108629","article-title":"Examining the influence of big data analytics and additive manufacturing on supply chain risk control and resilience: an empirical study","volume":"172","author":"Gupta","year":"2022","journal-title":"Computers & Industrial Engineering"},{"key":"10.1016\/j.jii.2026.101122_bib0032","doi-asserted-by":"crossref","first-page":"723","DOI":"10.1007\/s10479-024-06092-4","article-title":"Developing operational resilience to navigate transportation disruptions: the role and boundaries of efficiency priority","volume":"340","author":"Ataburo","year":"2024","journal-title":"Ann Oper Res"},{"key":"10.1016\/j.jii.2026.101122_bib0033","article-title":"Operational disruptions, firm risk, and control systems","volume":"24","author":"Schmidt","year":"2021","journal-title":"Manufacturing & Service Operations Management"},{"key":"10.1016\/j.jii.2026.101122_bib0034","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1504\/IJVCM.2023.135622","article-title":"Managing disruptive events in a global supply chain","volume":"14","author":"Majava","year":"2023","journal-title":"International Journal of Value Chain Management"},{"key":"10.1016\/j.jii.2026.101122_bib0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijpe.2020.107762","article-title":"Operational resilience, disruption, and efficiency: conceptual and empirical analyses","volume":"229","author":"Essuman","year":"2020","journal-title":"International Journal of Production Economics"},{"key":"10.1016\/j.jii.2026.101122_bib0036","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.ijpe.2017.04.003","article-title":"Dynamic strategies for supply disruptions in production-inventory systems","volume":"194","author":"Li","year":"2017","journal-title":"International Journal of Production Economics"},{"key":"10.1016\/j.jii.2026.101122_bib0037","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1080\/09537287.2020.1768450","article-title":"A digital supply chain twin for managing the disruption risks and resilience in the era of industry 4.0","volume":"32","author":"Ivanov","year":"2021","journal-title":"Prod Plann Control"},{"key":"10.1016\/j.jii.2026.101122_bib0038","doi-asserted-by":"crossref","DOI":"10.3390\/jmmp7030084","article-title":"Digital twin based SUDIHA architecture to smart shopfloor scheduling","volume":"7","author":"Khadiri","year":"2023","journal-title":"JMMP"},{"key":"10.1016\/j.jii.2026.101122_bib0039","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1016\/j.cirp.2021.04.049","article-title":"An intelligent agent-based architecture for resilient digital twins in manufacturing","volume":"70","author":"Vrabi\u010d","year":"2021","journal-title":"CIRP Annals"},{"key":"10.1016\/j.jii.2026.101122_bib0040","doi-asserted-by":"crossref","first-page":"852","DOI":"10.1016\/j.jmsy.2021.01.011","article-title":"Resilience dynamics modeling and control for a reconfigurable electronic assembly line under Spatio-temporal disruptions","volume":"60","author":"Zhang","year":"2021","journal-title":"Journal of Manufacturing Systems"},{"key":"10.1016\/j.jii.2026.101122_bib0041","series-title":"Proceedings of the 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)","first-page":"1","article-title":"Towards an implementation of simulation based digital twins in cyber-physical production systems environments","author":"Fur","year":"2023"},{"key":"10.1016\/j.jii.2026.101122_bib0042","series-title":"Information and Communication Technology For Competitive Strategies (ICTCS 2022)","first-page":"213","article-title":"Digital twin for Smart factory network QoS enhancement experiments","volume":"623","author":"Gowripeddi","year":"2023"},{"key":"10.1016\/j.jii.2026.101122_bib0043","series-title":"Intelligent and Transformative Production in Pandemic Times","first-page":"853","article-title":"Discrete event simulation for pharmaceutical supply chain analysis in India","author":"Sindhwani","year":"2023"},{"key":"10.1016\/j.jii.2026.101122_bib0044","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2023.109711","article-title":"Measuring the influence of digital twins on the sustainability of manufacturing supply chain: a mediating role of supply chain resilience and performance","volume":"186","author":"Singh","year":"2023","journal-title":"Computers & Industrial Engineering"},{"key":"10.1016\/j.jii.2026.101122_bib0045","doi-asserted-by":"crossref","DOI":"10.3390\/buildings13020447","article-title":"Feasibility of digital twins to manage the operational risks in the production of a ready-mix concrete plant","volume":"13","author":"Weerapura","year":"2023","journal-title":"Buildings"},{"key":"10.1016\/j.jii.2026.101122_bib0046","doi-asserted-by":"crossref","DOI":"10.3390\/computers10120156","article-title":"Smart master production schedule for the supply chain: a conceptual framework","volume":"10","author":"Serrano-Ruiz","year":"2021","journal-title":"Computers"},{"key":"10.1016\/j.jii.2026.101122_bib0047","series-title":"Intelligent and Fuzzy Systems","first-page":"957","article-title":"Intelligent supply chains through implementation of digital twins","volume":"504","author":"Kula\u00e7","year":"2022"},{"key":"10.1016\/j.jii.2026.101122_bib0048","doi-asserted-by":"crossref","DOI":"10.3390\/s21155031","article-title":"Integration of quantum simulation on a CNC machine for In\u2013Process control visualization","volume":"21","author":"Villalba-Diez","year":"2021","journal-title":"Sensors"},{"key":"10.1016\/j.jii.2026.101122_bib0049","doi-asserted-by":"crossref","first-page":"1509","DOI":"10.1007\/s12063-024-00521-0","article-title":"Balance or not: configuring absorbed and unabsorbed slack resources to achieve supply chain resilience","volume":"17","author":"Deng","year":"2024","journal-title":"Oper Manag Res"},{"key":"10.1016\/j.jii.2026.101122_bib0050","series-title":"Production Processes and Product Evolution in the Age of Disruption","first-page":"347","article-title":"The RaRe2 attempt as a holistic platform for decision support in rapidly changing process chains","author":"Teicher","year":"2023"},{"key":"10.1016\/j.jii.2026.101122_bib0051","doi-asserted-by":"crossref","first-page":"5094","DOI":"10.1080\/00207543.2022.2093682","article-title":"Applying digital twins for inventory and cash management in supply chains under physical and financial disruptions","volume":"61","author":"Badakhshan","year":"2023","journal-title":"Int J Prod Res"},{"key":"10.1016\/j.jii.2026.101122_bib0052","series-title":"Proceedings of the 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","first-page":"848","article-title":"Digital twin-enhanced approach for supply chain disruption management in manufacturing shop floors","author":"Hong Lim","year":"2021"},{"key":"10.1016\/j.jii.2026.101122_bib0053","doi-asserted-by":"crossref","first-page":"4715","DOI":"10.1109\/TSMC.2023.3257172","article-title":"Blockchained smart contract system as the digital twin of decentralized autonomous manufacturing toward resilience in industry 5.0","volume":"53","author":"Leng","year":"2023","journal-title":"IEEE Trans. Syst. Man Cybern, Syst"},{"key":"10.1016\/j.jii.2026.101122_bib0054","doi-asserted-by":"crossref","first-page":"1280","DOI":"10.1016\/j.procs.2022.12.326","article-title":"Sustainability in the agri-food supply chain: a combined digital twin and simulation approach for farmers","volume":"217","author":"Gallego-Garc\u00eda","year":"2023","journal-title":"Procedia Comput Sci"},{"key":"10.1016\/j.jii.2026.101122_bib0055","series-title":"The Digital Twin","first-page":"735","article-title":"Digital twins across manufacturing","author":"Green","year":"2023"},{"key":"10.1016\/j.jii.2026.101122_bib0056","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1016\/j.promfg.2020.05.132","article-title":"A simulation algorithm of a digital twin for manual assembly process","volume":"48","author":"Latif","year":"2020","journal-title":"Procedia Manufacturing"},{"key":"10.1016\/j.jii.2026.101122_bib0057","series-title":"Proceedings of the 2022 IEEE International Systems Conference (SysCon)","first-page":"1","article-title":"Creating a digital twin of an insider threat detection enterprise using model-based systems engineering","author":"Lee","year":"2022"},{"key":"10.1016\/j.jii.2026.101122_bib0058","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijpe.2023.108846","article-title":"Modeling production disorder: procedures for digital twins of flexibility-driven manufacturing systems","volume":"260","author":"Neto","year":"2023","journal-title":"International Journal of Production Economics"},{"key":"10.1016\/j.jii.2026.101122_bib0059","series-title":"Springer Series in Reliability Engineering","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1007\/978-3-031-30510-8_3","article-title":"Quality control for smart manufacturing in industry 5.0","volume":"Part F4","author":"Nguyen","year":"2023"},{"key":"10.1016\/j.jii.2026.101122_bib0060","series-title":"Proceedings of the 2021 IEEE International Conference on Engineering, Technology and Innovation (ICE\/ITMC)","first-page":"1","article-title":"No more flat tires: overcoming data defects to achieve supply chain resilience","author":"Pehlken","year":"2021"},{"key":"10.1016\/j.jii.2026.101122_bib0061","series-title":"Proceedings of the ECP 2022","article-title":"DigiFoodTwin: digital biophysical twins combined with machine learning for optimizing food processing","author":"Krupitzer","year":"2022"},{"key":"10.1016\/j.jii.2026.101122_bib0062","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1080\/13675567.2020.1763935","article-title":"An integrative approach to supply chain disruption risk and resilience management: a literature review","volume":"24","author":"Shekarian","year":"2021","journal-title":"International Journal of Logistics Research and Applications"},{"key":"10.1016\/j.jii.2026.101122_bib0063","doi-asserted-by":"crossref","first-page":"2833","DOI":"10.1016\/j.ifacol.2019.11.638","article-title":"Mitigation proposal for the enhancement of enterprise resilience against supply disruptions","volume":"52","author":"Sanchis","year":"2019","journal-title":"IFAC-PapersOnLine"},{"key":"10.1016\/j.jii.2026.101122_bib0064","doi-asserted-by":"crossref","first-page":"1062","DOI":"10.1016\/j.promfg.2020.10.149","article-title":"Simulation-based decision framework for hybrid layout production systems under disruptions","volume":"51","author":"Vijayan","year":"2020","journal-title":"Procedia Manufacturing"},{"key":"10.1016\/j.jii.2026.101122_bib0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.jii.2025.100793","article-title":"Data enabling technology in Digital Twin and its frameworks in different industrial applications","volume":"44","author":"Mohanraj","year":"2025","journal-title":"Journal of Industrial Information Integration"},{"key":"10.1016\/j.jii.2026.101122_bib0066","doi-asserted-by":"crossref","DOI":"10.3390\/su16145957","article-title":"Simulation methods and digital strategies for supply chains facing disruptions: insights from a systematic literature review","volume":"16","author":"Korder","year":"2024","journal-title":"Sustainability"},{"key":"10.1016\/j.jii.2026.101122_bib0067","doi-asserted-by":"crossref","unstructured":"Mylrea, M.; Fracchia, C.; Grimes, H.; Austad, W.; Shannon, G.; Reid, B.; Case, N. BioSecure Digital Twin: manufacturing innovation and cybersecurity resilience.; 2021; Vol. 13000 LNCS, pp. 53\u201372.","DOI":"10.1007\/978-3-030-89385-9_4"},{"key":"10.1016\/j.jii.2026.101122_bib0068","doi-asserted-by":"crossref","unstructured":"Serrano-Ruiz, J.C.; Mula, J.; Poler, R. Toward smart manufacturing scheduling from an ontological approach of job-shop uncertainty sources.; 2022; Vol. 55, pp. 150\u2013155.","DOI":"10.1016\/j.ifacol.2022.04.185"},{"key":"10.1016\/j.jii.2026.101122_bib0069","doi-asserted-by":"crossref","DOI":"10.1016\/j.compind.2022.103800","article-title":"Data-driven decision support tool for Production planning: a framework combining association rules and simulation","volume":"144","author":"Fani","year":"2023","journal-title":"Computers in Industry"},{"key":"10.1016\/j.jii.2026.101122_bib0070","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":"10.1016\/j.jii.2026.101122_bib0071","unstructured":"Yin, R.K. Case study research and applications 2018."},{"key":"10.1016\/j.jii.2026.101122_bib0072","first-page":"25","article-title":"Theory building from cases: opportunities and challenges","volume":"50","author":"Eisenhardt","year":"2007","journal-title":"The Academy of Management Journal"},{"key":"10.1016\/j.jii.2026.101122_bib0073","doi-asserted-by":"crossref","first-page":"602","DOI":"10.2307\/2392366","article-title":"Mixing qualitative and quantitative methods: triangulation in action","volume":"24","author":"Jick","year":"1979","journal-title":"Adm Sci Q"},{"key":"10.1016\/j.jii.2026.101122_bib0074","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1016\/j.ifacol.2022.09.430","article-title":"Adaptive simulation-based optimization for production scheduling: a comparative study","volume":"55","author":"Quadras","year":"2022","journal-title":"IFAC-PapersOnLine"},{"key":"10.1016\/j.jii.2026.101122_bib0075","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1016\/j.cirp.2018.04.033","article-title":"Data-driven production control for complex and dynamic manufacturing systems","volume":"67","author":"Frazzon","year":"2018","journal-title":"CIRP Annals"},{"key":"10.1016\/j.jii.2026.101122_bib0076","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2024.110676","article-title":"Reliability analysis and optimization of multi-product manufacturing systems based on two types of maintenance mechanisms","volume":"256","author":"Zhou","year":"2025","journal-title":"Reliability Engineering & System Safety"},{"key":"10.1016\/j.jii.2026.101122_bib0077","series-title":"Introduction to Supply Chain Analytics: With Examples in AnyLogic and Anylogistix Software","first-page":"49","article-title":"Discrete event simulation of manufacturing processes and inventory control","author":"Ivanov","year":"2024"},{"key":"10.1016\/j.jii.2026.101122_bib0078","doi-asserted-by":"crossref","DOI":"10.1016\/j.jii.2025.100896","article-title":"A smart industrial information system using a business process model, discrete events simulation, optimization, and machine learning algorithms","volume":"47","author":"Al-yasin","year":"2025","journal-title":"Journal of Industrial Information Integration"}],"container-title":["Journal of Industrial Information Integration"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2452414X26000646?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2452414X26000646?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T19:51:46Z","timestamp":1784836306000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2452414X26000646"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":78,"alternative-id":["S2452414X26000646"],"URL":"https:\/\/doi.org\/10.1016\/j.jii.2026.101122","relation":{},"ISSN":["2452-414X"],"issn-type":[{"value":"2452-414X","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Building operational resilience: A digital twin approach in mixed-model assembly line","name":"articletitle","label":"Article Title"},{"value":"Journal of Industrial Information Integration","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jii.2026.101122","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author(s). Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"101122"}}