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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. 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 1-28, 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. 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).
    6. 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.
    7. 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.
    8. Sung, Kiseo & Park, Kyu-Tae & Lee, Hakyeon, 2024. "Landscaping the digital twin technology: Patent-based networks and technology reference model," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    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. 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).
    15. 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.
    16. Nicoletti, Bernardo & Appolloni, Andrea, 2024. "A framework for digital twins solutions for 5 PL operators," Technology in Society, Elsevier, vol. 76(C).

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