4.8 Article

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

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Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.techfore.2021.121448

Keywords

Digital twin; Digital supply chain twin; Artificial intelligence; Cyberphysical; Internet of Things; Sustainability

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A digital twin is an integration of virtual and physical systems using disruptive technologies to develop sustainable, intelligent manufacturing systems. This paper presents a systematic literature review on digital supply chain twin dimensions with sustainable performance objectives and suggests that advancements in technologies have increased the potential of digital twin applications in the supply chain. The results indicate the need for a digital supply chain twin to include the entire supply chain and provide a framework for implementation.
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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