3,569
Views
2
CrossRef citations to date
0
Altmetric
Review Articles

Implementation of digital twins in the food supply chain: a review and conceptual framework

ORCID Icon, ORCID Icon & ORCID Icon
Pages 6400-6426 | Received 09 Jun 2023, Accepted 05 Dec 2023, Published online: 31 Jan 2024

References

  • Accenture. 2022. “Accenture Collaborates with Mars to Develop Factory of the Future Using AI, Cloud, Edge, and Digital Twins.” Accenture Newsroom. https://newsroom.accenture.com/news/accenture-collaborates-with-mars-to-develop-factory-of-the-future-using-ai-cloud-edge-and-digital-twins.htm.
  • *Accorsi, R., M. Bortolini, M. Gamberi, B. Guidani, R. Manzini, and M. Ronzoni. 2022. “Simulating Product-Packaging Conditions Under Environmental Stresses in a Food Supply Chain Cyber-Physical Twin.” Journal of Food Engineering 320: 110930.
  • Ahumada, O., and J. R. Villalobos. 2009. “Application of Planning Models in the Agri-Food Supply Chain: A Review.” European Journal of Operational Research 196 (1): 1–20.
  • *Ait-Alla, A., M. Kreutz, D. Rippel, M. Lütjen, and M. Freitag. 2021. “Simulated-based Methodology for the Interface Configuration of Cyber-Physical Production Systems.” International Journal of Production Research 59 (17): 5388–5403.
  • Alam, K. M., and A. El Saddik. 2017. “C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems.” IEEE Access 5: 2050–2062.
  • *Alfian, G., M. Syafrudin, U. Farooq, M. R. Ma'arif, M. A. Syaekhoni, N. L. Fitriyani, … J. Rhee. 2020. “Improving Efficiency of RFID-Based Traceability System for Perishable Food by Utilizing IoT Sensors and Machine Learning Model.” Food Control 110: 107016.
  • Asimov, R. M., S. V. Chernoshey, I. Kruse, and V. S. Osipovich. 2018. Digital twin in the Analysis of a Big Data.
  • Astill, J., R. A. Dara, M. Campbell, J. M. Farber, E. D. Fraser, S. Sharif, and R. Y. Yada. 2019. “Transparency in Food Supply Chains: A Review of Enabling Technology Solutions.” Trends in Food Science & Technology 91: 240–247.
  • *Aung, M. M., and Y. S. Chang. 2014. “Traceability in a Food Supply Chain: Safety and Quality Perspectives.” Food Control 39 (1): 172–184.
  • *Badakhshan, E., and P. Ball. 2023a. “Applying Digital Twins for Inventory and Cash Management in Supply Chains Under Physical and Financial Disruptions.” International Journal of Production Research 61(15): 5094–5116.
  • *Badakhshan, E., and P. Ball. 2023b. “Deploying Hybrid Modelling to Support the Development of a Digital Twin for Supply Chain Master Planning Under Disruptions.” International Journal of Production Research, 1–32.
  • Baker, J. 2012. “The Technology-Organization-Environment.” In Information Systems Theory: Explaining and Predicting our Digital Society, 231–245. Hamburg, Germany: University of Hamburg,
  • Banta, D. 2009. “What is Technology Assessment?” International Journal of Technology Assessment in Health Care 25 (S1): 7–9.
  • *Barricelli, B. R., E. Casiraghi, and D. Fogli. 2019. “A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications.” IEEE Access 7: 167653–167671.
  • Barykin, S. Y., A. A. Bochkarev, O. V. Kalinina, and V. K. Yadykin. 2020. “Concept for a Supply Chain Digital Twin.” International Journal of Mathematical, Engineering and Management Sciences 5 (6): 1498.
  • *Battini, D., N. Berti, S. Finco, M. Guidolin, M. Reggiani, and L. Tagliapietra. 2022. “WEM-Platform: A Real-Time Platform for Full-Body Ergonomic Assessment and Feedback in Manufacturing and Logistics Systems.” Computers & Industrial Engineering 164: 107881.
  • *Behnke, K., and M. F. W. H. A. Janssen. 2020. “Boundary Conditions for Traceability in Food Supply Chains Using Blockchain Technology.” International Journal of Information Management 52: 101969.
  • *Bhandal, R., R. Meriton, R. E. Kavanagh, and A. Brown. 2022. “The Application of Digital Twin Technology in Operations and Supply Chain Management: A Bibliometric Review.” Supply Chain Management: An International Journal 27 (2): 182–206.
  • Borodin, V., J. Bourtembourg, F. Hnaien, and N. Labadie. 2016. “Handling Uncertainty in Agricultural Supply Chain Management: A State of the Art.” European Journal of Operational Research 254 (2): 348–359.
  • *Bosona, T., and G. Gebresenbet. 2013. “Food Traceability as an Integral Part of Logistics Management in Food and Agricultural Supply Chain.” Food Control 33 (1): 32–48.
  • Boyles, R. 2019. “How the Port of Rotterdam Is using IBM Digital Twin Technology to Transform Itself from the Biggest to the Smartest.” IBM Blog. https://www.ibm.com/blog/iot-digital-twin-rotterdam/.
  • *Burgos, D., and D. Ivanov. 2021. “Food Retail Supply Chain Resilience and the COVID-19 Pandemic: A Digital Twin-Based Impact Analysis and Improvement Directions.” Transportation Research Part E: Logistics and Transportation Review 152: 102412.
  • Cai, Y., B. Starly, P. Cohen, and Y. S. Lee. 2017. “Sensor Data and Information Fusion to Construct Digital-Twins Virtual Machine Tools for Cyber-Physical Manufacturing.” Procedia Manufacturing 10: 1031–1042.
  • *Casino, F., V. Kanakaris, T. K. Dasaklis, S. Moschuris, S. Stachtiaris, M. Pagoni, and N. P. Rachaniotis. 2021. “Blockchain-based Food Supply Chain Traceability: A Case Study in the Dairy Sector.” International Journal of Production Research 59 (19): 5758–5770.
  • *Cavalcante, I. M., E. M. Frazzon, F. A. Forcellini, and D. Ivanov. 2019. “A Supervised Machine Learning Approach to Data-Driven Simulation of Resilient Supplier Selection in Digital Manufacturing.” International Journal of Information Management 49: 86–97.
  • *Chabanet, S., H. Bril El-Haouzi, M. Morin, J. Gaudreault, and P. Thomas. 2023. “Toward Digital Twins for Sawmill Production Planning and Control: Benefits, Opportunities, and Challenges.” International Journal of Production Research 61(7): 2190–2213.
  • *Chen, R. Y. 2017. “An Intelligent Value Stream-Based Approach to Collaboration of Food Traceability Cyber Physical System by Fog Computing.” Food Control 71: 124–136.
  • *Coelho, F., S. Relvas, and A. P. Barbosa-Póvoa. 2021. “Simulation-based Decision Support Tool for in-House Logistics: The Basis for a Digital Twin.” Computers & Industrial Engineering 153: 107094.
  • Damanpour, F., and M. Schneider. 2006. “Phases of the Adoption of Innovation in Organizations: Effects of Environment, Organization and Top Managers.” British Journal of Management 17 (3): 215–236.
  • Davis, J., T. Edgar, J. Porter, J. Bernaden, and M. Sarli. 2012. “Smart Manufacturing, Manufacturing Intelligence and Demand-Dynamic Performance.” Computers and Chemical Engineering 47: 145–156.
  • *Defraeye, T., C. Shrivastava, T. Berry, P. Verboven, D. Onwude, S. Schudel, and R. M. Rossi. 2021. “Digital Twins are Coming: Will we Need Them in Supply Chains of Fresh Horticultural Produce?” Trends in Food Science & Technology 109: 245–258.
  • *Defraeye, T., G. Tagliavini, W. Wu, K. Prawiranto, S. Schudel, M. A. Kerisima, … A. Bühlmann. 2019. “Digital Twins Probe Into Food Cooling and Biochemical Quality Changes for Reducing Losses in Refrigerated Supply Chains.” Resources, Conservation and Recycling 149: 778–794.
  • DHL. 2019. “Digital Twins in Logistics.” DHL. https://www.dhl.com/content/dam/dhl/global/core/documents/pdf/glo-core-digital-twins-in-logistics.pdf.
  • Dilkes-Hoffman, L. S., J. L. Lane, T. Grant, S. Pratt, P. A. Lant, and B. Laycock. 2018. “Environmental Impact of Biodegradable Food Packaging When Considering Food Waste.” Journal of Cleaner Production 180: 325–334.
  • Dolgui, A., and D. Ivanov. 2023. “Metaverse Supply Chain and Operations Management.” International Journal of Production Research 61(23): 8179–8191.
  • Fang, Z., Y. Zhao, R. D. Warner, and S. K. Johnson. 2017. “Active and Intelligent Packaging in Meat Industry.” Trends in Food Science and Technology 61 (2): 60–71.
  • *Franceschi, P., S. Mutti, K. Ottogalli, D. Rosquete, D. Borro, and N. Pedrocchi. 2022. “A Framework for Cyber-Physical Production System Management and Digital Twin Feedback Monitoring for Fast Failure Recovery.” International Journal of Computer Integrated Manufacturing 35 (6): 619–632.
  • Fritz, M., and G. Schiefer. 2009. “Tracking, Tracing, and Business Process Interests in Food Commodities: A Multi-Level Decision Complexity.” International Journal of Production Economics 117 (2): 317–329.
  • *Gallo, A., R. Accorsi, A. Goh, H. Hsiao, and R. Manzini. 2021. “A Traceability-Support System to Control Safety and Sustainability Indicators in Food Distribution.” Food Control 124 (October 2020): 107866.
  • Garaus, M., and H. Treiblmaier. 2021. “The Influence of Blockchain-Based Food Traceability on Retailer Choice: The Mediating Role of Trust.” Food Control 129 (February): 108082.
  • Gardas, B. B., R. D. Raut, N. Cheikhrouhou, and B. E. Narkhede. 2019. “A Hybrid Decision Support System for Analyzing Challenges of the Agricultural Supply Chain.” Sustainable Production and Consumption 18: 19–32.
  • *Gebhardt, M., M. Kopyto, H. Birkel, and E. Hartmann. 2022. “Industry 4.0 Technologies as Enablers of Collaboration in Circular Supply Chains: A Systematic Literature Review.” International Journal of Production Research 60 (23): 6967–6995.
  • Ghadge, A., M. Bourlakis, S. Kamble, and S. Seuring. 2023. “Blockchain Implementation in Pharmaceutical Supply Chains: A Review and Conceptual Framework.” International Journal of Production Research 61 (9): 6633–6651.
  • Ghadge, A., S. Dani, and R. Kalawsky. 2012. “Supply Chain Risk Management: Present and Future Scope.” The International Journal of Logistics Management 23 (3): 313–339.
  • Ghadge, A., H. Wurtmann, and S. Seuring. 2020. “Managing Climate Change Risks in Global Supply Chains: A Review and Research Agenda.” International Journal of Production Research 58 (1): 44–64.
  • *Ghandar, A., A. Ahmed, S. Zulfiqar, Z. Hua, M. Hanai, and G. Theodoropoulos. 2021. “A Decision Support System for Urban Agriculture Using Digital Twin: A Case Study with Aquaponics.” IEEE Access 9: 35691–35708.
  • Glaessgen, E., and D. Stargel. 2012. “The Digital Twin Paradigm for Future NASA and US Air Force Vehicles.” 53rd AIAA/ASME/ASCE/AHS/ASC structures, structural dynamics and materials conference 20th AIAA/ASME/AHS adaptive structures conference 14th AIAA (p. 1818).
  • Gokarn, S., and T. S. Kuthambalayan. 2017. “Analysis of Challenges Inhibiting the Reduction of Waste in Food Supply Chain.” Journal of Cleaner Production 168: 595–604.
  • *Greif, T., N. Stein, and C. M. Flath. 2020. “Peeking Into the Void: Digital Twins for Construction Site Logistics.” Computers in Industry 121: 103264.
  • Hameed, M. A., S. Counsell, and S. Swift. 2012. “A Conceptual Model for the Process of IT Innovation Adoption in Organizations.” Journal of Engineering and Technology Management 29 (3): 358–390.
  • *Hang, L., I. Ullah, and D. H. Kim. 2020. “A Secure Fish Farm Platform Based on Blockchain for Agriculture Data Integrity.” Computers and Electronics in Agriculture 170: 105251.
  • Hellström, T. 2003. “Systemic Innovation and Risk: Technology Assessment and the Challenge of Responsible Innovation.” Technology in Society 25 (3): 369–384.
  • Huff, S. L., M. C. Munro, and B. S. L. Huff. 2014. “Information Technology Assessment and Adoption: A Field Study.” MIS Quarterly 9 (4): 327–340.
  • Hosseini, S., D. Ivanov, and A. Dolgui. 2020. “Ripple Effect Modelling of Supplier Disruption: Integrated Markov Chain and Dynamic Bayesian Network Approach.” International Journal of Production Research 58 (11): 3284–3303.
  • *Ivanov, D. 2020. “Predicting the Impacts of Epidemic Outbreaks on Global Supply Chains: A Simulation-Based Analysis on the Coronavirus Outbreak (COVID-19/SARS-CoV-2) Case.” Transportation Research Part E: Logistics and Transportation Review 136: 101922.
  • *Ivanov, D. 2023. “Conceptualisation of a 7-Element Digital Twin Framework in Supply Chain and Operations Management.” International Journal of Production Research 1-13: 0020–7543.
  • *Ivanov, D., and A. Dolgui. 2021. “A Digital Supply Chain Twin for Managing the Disruption Risks and Resilience in the era of Industry 4.0.” Production Planning and Control 32 (9): 775–788.
  • *Ivanov, D., A. Dolgui, and B. Sokolov. 2019. “The Impact of Digital Technology and Industry 4.0 on the Ripple Effect and Supply Chain Risk Analytics.” International Journal of Production Research 57 (3): 829–846.
  • Jans-Singh, M., K. Leeming, R. Choudhary, and M. Girolami. 2020. “Digital Twin of an Urban-Integrated Hydroponic Farm.” Data-Centric Engineering, 1: e20.
  • Janssen, S. J., C. H. Porter, A. D. Moore, I. N. Athanasiadis, I. Foster, J. W. Jones, and J. M. Antle. 2017. “Towards a new Generation of Agricultural System Data, Models and Knowledge Products: Information and Communication Technology.” Agricultural Systems 155: 200–212.
  • *Jiang, Y., X. Liu, K. Kang, Z. Wang, R. Y. Zhong, and G. Q. Huang. 2021. “Blockchain-enabled Cyber-Physical Smart Modular Integrated Construction.” Computers in Industry 133: 103553.
  • *Kamble, S. S., A. Gunasekaran, H. Parekh, V. Mani, A. Belhadi, and R. Sharma. 2022. “Digital Twin for Sustainable Manufacturing Supply Chains: Current Trends, Future Perspectives, and an Implementation Framework.” Technological Forecasting and Social Change 176: 121448.
  • *Kamilaris, A., A. Fonts, and F. X. Prenafeta-Boldύ. 2019. “The Rise of Blockchain Technology in Agriculture and Food Supply Chains.” Trends in Food Science & Technology 91: 640–652.
  • Kamilaris, A., A. Kartakoullis, and F. X. Prenafeta-Boldú. 2017. “A Review on the Practice of big Data Analysis in Agriculture.” Computers and Electronics in Agriculture 143: 23–37.
  • Kirkman, D. M. 2012. “Social Enterprises: An Multi-Level Framework of the Innovation Adoption Process.” Innovation 14 (1): 143–155.
  • *Kittipanya-ngam, P., and K. H. Tan. 2020. “A Framework for Food Supply Chain Digitalization: Lessons from Thailand.” Production Planning and Control 31 (2-3): 158–172.
  • *Kong, T., T. Hu, T. Zhou, and Y. Ye. 2021. “Data Construction Method for the Applications of Workshop Digital Twin System.” Journal of Manufacturing Systems 58: 323–328.
  • Korth, B., C. Schwede, and M. Zajac. 2018, December. “Simulation-ready Digital Twin for Realtime Management of Logistics Systems.” In 2018 IEEE International Conference on big Data (Big Data), 4194–4201. Seattle, WA, USA: IEEE.
  • *Kuo, Y. H., F. Pilati, T. Qu, and G. Q. Huang. 2021. “Digital Twin-Enabled Smart Industrial Systems: Recent Developments and Future Perspectives.” International Journal of Computer Integrated Manufacturing 34 (7-8): 685–689.
  • La Scalia, G., L. Settanni, R. Micale, and M. Enea. 2016. “Predictive Shelf Life Model Based on RF Technology for Improving the Management of Food Supply Chain: A Case Study.” International Journal of RF Technologies 7 (1): 31–42.
  • *Leung, E. K. H., C. K. H. Lee, and Z. Ouyang. 2022. “From Traditional Warehouses to Physical Internet Hubs: A Digital Twin-Based Inbound Synchronization Framework for PI-Order Management.” International Journal of Production Economics 244: 108353.
  • *Li, M., Z. Li, X. Huang, and T. Qu. 2021. “Blockchain-based Digital Twin Sharing Platform for Reconfigurable Socialized Manufacturing Resource Integration.” International Journal of Production Economics 240: 108223.
  • *Lim, K. Y. H., P. Zheng, and C. H. Chen. 2020. “A State-of-the-art Survey of Digital Twin: Techniques, Engineering Product Lifecycle Management and Business Innovation Perspectives.” Journal of Intelligent Manufacturing 31: 1313–1337.
  • *Liu, J., X. Cao, H. Zhou, L. Li, X. Liu, P. Zhao, and J. Dong. 2021. “A Digital Twin-Driven Approach Towards Traceability and Dynamic Control for Processing Quality.” Advanced Engineering Informatics 50: 101395.
  • Love, P. E. D., and Z. Irani. 2004. “An Exploratory Study of Information Technology Evaluation and Benefits Management Practices of SMEs in the Construction Industry.” Information and Management 42 (1): 227–242.
  • *Lugaresi, G., and A. Matta. 2021. “Automated Manufacturing System Discovery and Digital Twin Generation.” Journal of Manufacturing Systems 59: 51–66.
  • *Maheshwari, P., S. Kamble, A. Belhadi, V. Mani, and A. Pundir. 2022. “Digital Twin Implementation for Performance Improvement in Process Industries- A Case Study of Food Processing Company.” International Journal of Production Research, 61 (23): 8343–8365.
  • *Maheshwari, P., S. Kamble, S. Kumar, A. Belhadi, and S. Gupta. 2023. “Digital Twin-Based Warehouse Management System: A Theoretical Toolbox for Future Research and Applications.” The International Journal of Logistics Management 0957–4093.
  • Malik, P. K., R. Sharma, R. Singh, A. Gehlot, S. C. Satapathy, W. S. Alnumay, D. Pelusi, U. Ghosh, and J. Nayak. 2021. “Industrial Internet of Things and Its Applications in Industry 4.0: State of The Art.” Computer Communications 166: 125–139.
  • *Mandolla, C., A. M. Petruzzelli, G. Percoco, and A. Urbinati. 2019. “Building a Digital Twin for Additive Manufacturing Through the Exploitation of Blockchain: A Case Analysis of the Aircraft Industry.” Computers in Industry 109: 134–152.
  • Manos, B., and I. Manikas. 2010. “Traceability in the Greek Fresh Produce Sector: Drivers and Constraints.” British Food Journal 112 (6): 640–652.
  • Manzini, R., and R. Accorsi. 2013. “The new Conceptual Framework for Food Supply Chain Assessment.” Journal of Food Engineering 115 (2): 251–263.
  • *Matzembacher, D. E., I. do Carmo Stangherlin, L. A. Slongo, and R. Cataldi. 2018. “An Integration of Traceability Elements and Their Impact in Consumer’s Trust.” Food Control 92: 420–429.
  • Melesse, T. Y., V. Di Pasquale, and S. Riemma. 2021. “Digital Twin Models in Industrial Operations: State-of-the-art and Future Research Directions.” IET Collaborative Intelligent Manufacturing 3 (1): 37–47.
  • Microsoft. 2017. “The Promise of a Digital Twin Strategy.” https://info.microsoft.com/The-promise-of-a-digital-twin-strategyBest-practices-for-designers-Registration-ForminBody.html.
  • Nakandala, D., H. Lau, and L. Zhao. 2017. “Development of a Hybrid Fresh Food Supply Chain Risk Assessment Model.” International Journal of Production Research 55 (14): 4180–4195.
  • *Nguyen, T., Q. H. Duong, T. Van Nguyen, Y. Zhu, and L. Zhou. 2022. “Knowledge Mapping of Digital Twin and Physical Internet in Supply Chain Management: A Systematic Literature Review.” International Journal of Production Economics 244: 108381.
  • Oliveira, M. M. de, A. Lago, and G. P. Dal’ Magro. 2021. “Food Loss and Waste in the Context of the Circular Economy: A Systematic Review.” Journal of Cleaner Production 294: 126284.
  • *Onwude, D., F. Bahrami, C. Shrivastava, T. Berry, P. Cronje, J. North, N. Kirsten, et al. 2022. “Physics-driven Digital Twins to Quantify the Impact of pre- and Postharvest Variability on the end Quality Evolution of Orange Fruit.” Resources, Conservation and Recycling 186: 106585.
  • Opoku, D. G. J., S. Perera, R. Osei-Kyei, and M. Rashidi. 2021. “Digital Twin Application in the Construction Industry: A Literature Review.” Journal of Building Engineering 40 (May): 102726.
  • Orji, I. J., S. Kusi-Sarpong, S. Huang, and D. Vazquez-Brust. 2020. “Evaluating the Factors that Influence Blockchain Adoption in the Freight Logistics Industry.” Transportation Research Part E: Logistics and Transportation Review 141(April).
  • *Óskarsdóttir, K., and G. V. Oddsson. 2019. “Towards a Decision Support Framework for Technologies Used in Cold Supply Chain Traceability.” Journal of Food Engineering 240: 153–159.
  • *Pan, Y. H., T. Qu, N. Q. Wu, M. Khalgui, and G. Q. Huang. 2021. “Digital Twin Based Real-Time Production Logistics Synchronization System in a Multi-Level Computing Architecture.” Journal of Manufacturing Systems 58: 246–260.
  • *Park, K. T., Y. H. Son, and S. D. Noh. 2021. “The Architectural Framework of a Cyber Physical Logistics System for Digital-Twin-Based Supply Chain Control.” International Journal of Production Research 59 (19): 5721–5742.
  • *Parreño-Marchante, A., A. Alvarez-Melcon, M. Trebar, and P. Filippin. 2014. “Advanced Traceability System in Aquaculture Supply Chain.” Journal of Food Engineering 122: 99–109.
  • *Perno, M., L. Hvam, and A. Haug. 2022. “Implementation of Digital Twins in the Process Industry: A Systematic Literature Review of Enablers and Barriers.” Computers in Industry 134: 103558.
  • Pichlak, M. 2016. “The Innovation Adoption Process: A Multidimensional Approach.” Journal of Management & Organization 22 (4): 476–494.
  • *Piramuthu, S., P. Farahani, and M. Grunow. 2013. “RFID-generated Traceability for Contaminated Product Recall in Perishable Food Supply Networks.” European Journal of Operational Research 225 (2): 253–262.
  • *Pylianidis, C., S. Osinga, and I. N. Athanasiadis. 2021. “Introducing Digital Twins to Agriculture.” Computers and Electronics in Agriculture 184: 105942.
  • Qian, J., L. Ruiz-Garcia, B. Fan, J. I. Robla Villalba, U. McCarthy, B. Zhang, Q. Yu, and W. Wu. 2020. “Food Traceability System from Governmental, Corporate, and Consumer Perspectives in the European Union and China: A Comparative Review.” Trends in Food Science and Technology 99 (January): 402–412.
  • Queiroz, M. M., and S. Fosso Wamba. 2021. “A Structured Literature Review on the Interplay Between Emerging Technologies and COVID-19–Insights and Directions to Operations Fields.” Annals of Operations Research, 1–27.
  • Rabah, S., A. Assila, E. Khouri, F. Maier, F. Ababsa, V. Bourny, P. Maier, and F. Mérienne. 2018. “Towards Improving the Future of Manufacturing Through Digital Twin and Augmented Reality Technologies.” Procedia Manufacturing 17: 460–467.
  • *Regattieri, A., M. Gamberi, and R. Manzini. 2007. “Traceability of Food Products: General Framework and Experimental Evidence.” Journal of Food Engineering 81 (2): 347–356.
  • *Ringsberg, H. 2014. “Perspectives on Food Traceability: A Systematic Literature Review.” Supply Chain Management: An International Journal 19 (5/6): 558–576.
  • *Rožanec, J. M., J. Lu, J. Rupnik, M. Škrjanc, D. Mladenić, B. Fortuna, X. Zheng, and D. Kiritsis. 2022. “Actionable Cognitive Twins for Decision Making in Manufacturing.” International Journal of Production Research 60 (2): 452–478.
  • Salin, V. 1998. “Information Technology in Agri-Food Supply Chains.” The International Food and Agribusiness Management Review 1 (3): 329–334.
  • *Semeraro, C., M. Lezoche, H. Panetto, and M. Dassisti. 2021. “Digital Twin Paradigm: A Systematic Literature Review.” Computers in Industry 130: 103469.
  • *Shankar, R., R. Gupta, and D. K. Pathak. 2018. “Modeling Critical Success Factors of Traceability for Food Logistics System.” Transportation Research Part E: Logistics and Transportation Review 119: 205–222.
  • *Shoji, K., S. Schudel, D. Onwude, C. Shrivastava, and T. Defraeye. 2022a. “Mapping the Postharvest Life of Imported Fruits from Packhouse to Retail Stores Using Physics-Based Digital Twins.” Resources, Conservation and Recycling 176: 105914.
  • *Shoji, K., S. Schudel, C. Shrivastava, D. Onwude, and T. Defraeye. 2022b. “Optimizing the Postharvest Supply Chain of Imported Fresh Produce with Physics-Based Digital Twins.” Journal of Food Engineering 329: 111077.
  • Simangunsong, E., L. C. Hendry, and M. Stevenson. 2012. “Supply-chain Uncertainty: A Review and Theoretical Foundation for Future Research.” International Journal of Production Research 50 (16): 4493–4523.
  • Singh, R. K., S. Luthra, S. K. Mangla, and S. Uniyal. 2019. “Applications of Information and Communication Technology for Sustainable Growth of SMEs in India Food Industry.” Resources, Conservation and Recycling 147: 10–18.
  • *Singh, G., R. Rajesh, Y. Daultani, and S. Chandra. 2023. “Resilience and Sustainability Enhancements in Food Supply Chains Using Digital Twin Technology: A Grey Causal Modelling (GCM) Approach.” Computers & Industrial Engineering 179: 109172.
  • Sreedevi, R., and H. Saranga. 2017. “Uncertainty and Supply Chain Risk: The Moderating Role of Supply Chain Flexibility in Risk Mitigation.” International Journal of Production Economics 193 (July 2015): 332–342.
  • *Sun, S., and X. Wang. 2019. “Promoting Traceability for Food Supply Chain with Certification.” Journal of Cleaner Production 217: 658–665.
  • Tagliavini, G., T. Defraeye, and J. Carmeliet. 2019. “Multiphysics Modeling of Convective Cooling of non-Spherical, Multi-Material Fruit to Unveil Its Quality Evolution Throughout the Cold Chain.” Food and Bioproducts Processing 117: 310–320.
  • Tao, F., J. Cheng, Q. Qi, M. Zhang, H. Zhang, and F. Sui. 2018. “Digital Twin-Driven Product Design, Manufacturing and Service with Big Data.” International Journal of Advanced Manufacturing Technology 94 (9–12): 3563–3576.
  • *Tao, F., F. Sui, A. Liu, Q. Qi, M. Zhang, B. Song, … A. Y. Nee. 2019a. “Digital Twin-Driven Product Design Framework.” International Journal of Production Research 57 (12): 3935–3953.
  • *Tao, F., H. Zhang, A. Liu, and A. Y. C. Nee. 2019b. “Digital Twin in Industry: State-of-the-Art.” IEEE Transactions on Industrial Informatics 15 (4): 2405–2415.
  • Tian, F. 2016, June. “An Agri-Food Supply Chain Traceability System for China Based on RFID & Blockchain Technology.” 2016 13th international conference on service systems and service management (ICSSSM) (pp. 1–6). IEEE.
  • *Tozanli, Ö, and M. J. Saénz. 2022. “Unlocking the Potential of Digital Twins in Supply Chains.” MIT Sloan Management Review 63 (4): 1–4.
  • Tran, T. A., and T. Daim. 2008. “A Taxonomic Review of Methods and Tools Applied in Technology Assessment.” Technological Forecasting and Social Change 75 (9): 1396–1405.
  • Tranfield, D., D. Denyer, and P. Smart. 2003. “Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review.” British Journal of Management 14 (3): 207–222.
  • Van der Valk, H., G. Strobel, S. Winkelmann, J. Hunker, and M. Tomczyk. 2022. “Supply Chains in the Era of Digital Twins-A Review.” Procedia Computer Science 204: 156–163.
  • Verdouw, C. N., J. Wolfert, A. J. M. Beulens, and A. Rialland. 2016. “Virtualization of Food Supply Chains with the Internet of Things.” Journal of Food Engineering 176: 128–136.
  • *Vilas-Boas, J. L., J. J. P. C. Rodrigues, and A. M. Alberti. 2022. “Convergence of Distributed Ledger Technologies with Digital Twins, IoT, and AI for Fresh Food Logistics: Challenges and Opportunities.” Journal of Industrial Information Integration 100393.
  • Vu, N., A. Ghadge, and M. Bourlakis. 2023. “Blockchain Adoption in Food Supply Chains: A Review and Implementation Framework.” Production Planning and Control 34 (6): 506–523.
  • *Wong, E. Y. C., D. Y. Mo, and S. So. 2021. “Closed-loop Digital Twin System for Air Cargo Load Planning Operations.” International Journal of Computer Integrated Manufacturing 34 (7–8): 801–813.
  • World Health Organization. 2007. “Food safety and Foodborne Illness.” Available at: https://www.who.int/news-room/fact-sheets/detail/food-safety.
  • *Wu, W., L. Shen, Z. Zhao, M. Li, and G. Q. Huang. 2022a. “Industrial IoT and Long Short-Term Memory Network-Enabled Genetic Indoor-Tracking for Factory Logistics.” IEEE Transactions on Industrial Informatics 18 (11): 7537–7548.
  • *Wu, W., Z. Zhao, L. Shen, X. T. R. Kong, D. Guo, R. Y. Zhong, and G. Q. Huang. 2022b. “Just Trolley: Implementation of Industrial IoT and Digital Twin-Enabled Spatial-Temporal Traceability and Visibility for Finished Goods Logistics.” Advanced Engineering Informatics 52: 101571.
  • Xu, L., F. Jia, X. Lin, and L. Chen. 2023. “The Role of Technology in Supply Chain Decarbonisation: Towards an Integrated Conceptual Framework.” Supply Chain Management: An International Journal 28 (4): 803–824.
  • Yadav, V. S., A. R. Singh, A. Gunasekaran, R. D. Raut, and B. E. Narkhede. 2022a. “A Systematic Literature Review of the Agro-Food Supply Chain: Challenges, Network Design, and Performance Measurement Perspectives.” Sustainable Production and Consumption 29: 685–704.
  • Zhu, K., K. L. Kraemer, and S. Xu. 2006. “The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on e-Business.” Management Science 52 (10): 1557–1576.
  • *Yadav, V. S., A. R. Singh, R. D. Raut, S. K. Mangla, S. Luthra, and A. Kumar. 2022b. “Exploring the Application of Industry 4.0 Technologies in the Agricultural Food Supply Chain: A Systematic Literature Review.” Computers and Industrial Engineering 169: 108304.
  • *Zhang, Z., Z. Guan, Y. Gong, D. Luo, and L. Yue. 2022. “Improved Multi-Fidelity Simulation-Based Optimisation: Application in a Digital Twin Shop Floor.” International Journal of Production Research 60 (3): 1016–1035.
  • Zhang, L., Y. Xu, P. Oosterveer, and A. P. J. Mol. 2016. “Consumer Trust in Different Food Provisioning Schemes: Evidence from Beijing, China.” Journal of Cleaner Production 134: 269–279.
  • Zhao, G., S. Liu, C. Lopez, H. Lu, S. Elgueta, H. Chen, and B. M. Boshkoska. 2019. “Blockchain Technology in Agri-Food Value Chain Management: A Synthesis of Applications, Challenges and Future Research Directions.” Computers in Industry 109: 83–99.
  • *Zhao, Z., L. Shen, C. Yang, W. Wu, M. Zhang, and G. Q. Huang. 2021a. “IoT and Digital Twin Enabled Smart Tracking for Safety Management.” Computers & Operations Research 128: 105183.
  • Zhao, X., P. Wang, and R. Pal. 2021b. “The Effects of Agro-Food Supply Chain Integration on Product Quality and Financial Performance: Evidence from Chinese Agro-Food Processing Business.” International Journal of Production Economics 231 (December 2019): 107832.
  • *Zhao, Z., M. Zhang, J. Chen, T. Qu, and G. Q. Huang. 2022. “Digital Twin-Enabled Dynamic Spatial-Temporal Knowledge Graph for Production Logistics Resource Allocation.” Computers and Industrial Engineering 171.
  • *Zheng, X., J. Lu, and D. Kiritsis. 2022. “The Emergence of Cognitive Digital Twin: Vision, Challenges and Opportunities.” International Journal of Production Research 60 (24): 7610–7632.
  • Zhou, X., M. Pullman, and Z. Xu. 2022. “The Impact of Food Supply Chain Traceability on Sustainability Performance.” Operations Management Research 15 (1-2): 93–115.