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

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

Technological Forecasting and Social Change, 2022, vol. 176, issue C

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.

Keywords: Digital twin; Digital supply chain twin; Artificial intelligence; Cyberphysical; Internet of Things; Sustainability (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:176:y:2022:i:c:s0040162521008799

DOI: 10.1016/j.techfore.2021.121448

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