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Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework

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  • Kamble, Sachin S
  • Gunasekaran, Angappa
  • Parekh, Harsh
  • Mani, Venkatesh
  • Belhadi, Amine
  • Sharma, Rohit

Abstract

A digital twin is an integration of virtual and physical systems using disruptive technologies. More precisely, it is a method of developing sustainable, intelligent manufacturing systems for attaining robust quality, reducing time, and customized products using real-time information throughout the product life cycle. This paper presents a systematic literature review of 98 research papers on various digital supply chain twin dimensions with sustainable performance objectives. The selected papers were reviewed and classified into three broad categories: components of the digital twin, applications in the manufacturing supply chain, and sustainability. Based on the review and future perspectives from the study, we suggest that advancements in technologies such as IoT, cloud computing, and blockchain have increased the potential of digital twin applications in the supply chain. The results indicate that a digital supply chain twin should include the things and humans from the entire supply chain and not be restricted to the local manufacturing systems. Based on our review findings, we present a sustainable digital twin implementation framework for supply chains. The proposed framework will guide future practitioners and researchers.

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  • Kamble, Sachin S & Gunasekaran, Angappa & Parekh, Harsh & Mani, Venkatesh & Belhadi, Amine & Sharma, Rohit, 2022. "Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    • Handle: RePEc:eee:tefoso:v:176:y:2022:i:c:s0040162521008799
    DOI: 10.1016/j.techfore.2021.121448
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    1. Roberto Rocca & Paolo Rosa & Claudio Sassanelli & Luca Fumagalli & Sergio Terzi, 2020. "Integrating Virtual Reality and Digital Twin in Circular Economy Practices: A Laboratory Application Case," Sustainability, MDPI, vol. 12(6), pages 1-27, March.
    2. Lavinia Chiara Tagliabue & Fulvio Re Cecconi & Sebastiano Maltese & Stefano Rinaldi & Angelo Luigi Camillo Ciribini & Alessandra Flammini, 2021. "Leveraging Digital Twin for Sustainability Assessment of an Educational Building," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    3. Daniel R. A. Schallmo & Jochen Lohse, 2020. "Digitalstrategien erfolgreich entwickeln," Springer Books, Springer, number 978-3-658-31242-8, November.
    4. Guanghui Zhou & Chao Zhang & Zhi Li & Kai Ding & Chuang Wang, 2020. "Knowledge-driven digital twin manufacturing cell towards intelligent manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(4), pages 1034-1051, February.
    5. Kamble, Sachin S. & Gunasekaran, Angappa & Ghadge, Abhijeet & Raut, Rakesh, 2020. "A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation," International Journal of Production Economics, Elsevier, vol. 229(C).
    6. Kai Ding & Felix T.S. Chan & Xudong Zhang & Guanghui Zhou & Fuqiang Zhang, 2019. "Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors," International Journal of Production Research, Taylor & Francis Journals, vol. 57(20), pages 6315-6334, October.
    7. Xi Vincent Wang & Lihui Wang, 2019. "Digital twin-based WEEE recycling, recovery and remanufacturing in the background of Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 57(12), pages 3892-3902, June.
    8. Jinjiang Wang & Lunkuan Ye & Robert X. Gao & Chen Li & Laibin Zhang, 2019. "Digital Twin for rotating machinery fault diagnosis in smart manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 57(12), pages 3920-3934, June.
    9. Wilma Polini & Andrea Corrado, 2020. "Digital twin of composite assembly manufacturing process," International Journal of Production Research, Taylor & Francis Journals, vol. 58(17), pages 5238-5252, September.
    10. Abolfazl Rezaei Aderiani & Kristina Wärmefjord & Rikard Söderberg & Lars Lindkvist, 2019. "Developing a selective assembly technique for sheet metal assemblies," International Journal of Production Research, Taylor & Francis Journals, vol. 57(22), pages 7174-7188, November.
    11. Zheng, Jianqin & Dai, Yuanhao & Liang, Yongtu & Liao, Qi & Zhang, Haoran, 2020. "An online real-time estimation tool of leakage parameters for hazardous liquid pipelines," International Journal of Critical Infrastructure Protection, Elsevier, vol. 31(C).
    12. Parmar, Rashik & Leiponen, Aija & Thomas, Llewellyn D.W., 2020. "Building an organizational digital twin," Business Horizons, Elsevier, vol. 63(6), pages 725-736.
    13. Cenamor, J. & Rönnberg Sjödin, D. & Parida, V., 2017. "Adopting a platform approach in servitization: Leveraging the value of digitalization," International Journal of Production Economics, Elsevier, vol. 192(C), pages 54-65.
    14. Maurizio Bevilacqua & Eleonora Bottani & Filippo Emanuele Ciarapica & Francesco Costantino & Luciano Di Donato & Alessandra Ferraro & Giovanni Mazzuto & Andrea Monteriù & Giorgia Nardini & Marco Orten, 2020. "Digital Twin Reference Model Development to Prevent Operators’ Risk in Process Plants," Sustainability, MDPI, vol. 12(3), pages 1-17, February.
    15. Govindan, Kannan & Soleimani, Hamed & Kannan, Devika, 2015. "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European Journal of Operational Research, Elsevier, vol. 240(3), pages 603-626.
    16. Qiang Liu & Hao Zhang & Jiewu Leng & Xin Chen, 2019. "Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system," International Journal of Production Research, Taylor & Francis Journals, vol. 57(12), pages 3903-3919, June.
    17. Daniel Olivotti & Sonja Dreyer & Benedikt Lebek & Michael H. Breitner, 2019. "Creating the foundation for digital twins in the manufacturing industry: an integrated installed base management system," Information Systems and e-Business Management, Springer, vol. 17(1), pages 89-116, March.
    18. Xiao Li & Jiarou Cao & Zhenggang Liu & Xinggang Luo, 2020. "Sustainable Business Model Based on Digital Twin Platform Network: The Inspiration from Haier’s Case Study in China," Sustainability, MDPI, vol. 12(3), pages 1-26, January.
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    1. Esam Salamah & Ahmad Alzubi & Azmiye Yinal, 2023. "Unveiling the Impact of Digitalization on Supply Chain Performance in the Post-COVID-19 Era: The Mediating Role of Supply Chain Integration and Efficiency," Sustainability, MDPI, vol. 16(1), pages 1-30, December.
    2. Tsega Y. Melesse & Chiara Franciosi & Valentina Di Pasquale & Stefano Riemma, 2023. "Analyzing the Implementation of Digital Twins in the Agri-Food Supply Chain," Logistics, MDPI, vol. 7(2), pages 1-17, June.
    3. Aurelija Burinskienė & Milena Seržantė, 2022. "Digitalisation as the Indicator of the Evidence of Sustainability in the European Union," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
    4. Saoussane Srhir & Anicia Jaegler & Jairo R. Montoya‐Torres, 2023. "Uncovering Industry 4.0 technology attributes in sustainable supply chain 4.0: A systematic literature review," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4143-4166, November.
    5. Teresa Riso & Carla Morrone, 2023. "To Align Technological Advancement and Ethical Conduct: An Analysis of the Relationship between Digital Technologies and Sustainable Decision-Making Processes," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    6. Xiao Han & Yang Zheng, 2022. "Driving Elements of Enterprise Digital Transformation Based on the Perspective of Dynamic Evolution," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    7. Naoum Tsolakis & Roman Schumacher & Manoj Dora & Mukesh Kumar, 2023. "Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?," Annals of Operations Research, Springer, vol. 327(1), pages 157-210, August.
    8. Santosh Kumar Srivastava & Surajit Bag, 2023. "Recent Developments on Flexible Manufacturing in the Digital Era: A Review and Future Research Directions," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(4), pages 483-516, December.
    9. Maheshwari, Pratik & Kamble, Sachin & Belhadi, Amine & Venkatesh, Mani & Abedin, Mohammad Zoynul, 2023. "Digital twin-driven real-time planning, monitoring, and controlling in food supply chains," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    10. Junaid, Muhammad & Zhang, Qingyu & Cao, Mei & Luqman, Adeel, 2023. "Nexus between technology enabled supply chain dynamic capabilities, integration, resilience, and sustainable performance: An empirical examination of healthcare organizations," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    11. Sachini Weerasekara & Zhenyuan Lu & Burcu Ozek & Jacqueline Isaacs & Sagar Kamarthi, 2022. "Trends in Adopting Industry 4.0 for Asset Life Cycle Management for Sustainability: A Keyword Co-Occurrence Network Review and Analysis," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    12. He Yin & Hai Lan & Ying-Yi Hong & Zhuangwei Wang & Peng Cheng & Dan Li & Dong Guo, 2023. "A Comprehensive Review of Shipboard Power Systems with New Energy Sources," Energies, MDPI, vol. 16(5), pages 1-44, February.
    13. Hafiz Wasim Akram & Samreen Akhtar & Alam Ahmad & Imran Anwar & Mohammad Ali Bait Ali Sulaiman, 2023. "Developing a Conceptual Framework Model for Effective Perishable Food Cold-Supply-Chain Management Based on Structured Literature Review," Sustainability, MDPI, vol. 15(6), pages 1-28, March.
    14. Min Yan & Can Huang & Peter Bienstman & Peter Tino & Wei Lin & Jie Sun, 2024. "Emerging opportunities and challenges for the future of reservoir computing," Nature Communications, Nature, vol. 15(1), pages 1-18, December.

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