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

供应链 云计算 持续性 计算机科学 产品(数学) 数字化制造 智能制造 质量(理念) 物联网 供应链管理 过程管理 制造工程 系统工程 业务 工程类 营销 嵌入式系统 生态学 几何学 数学 生物 操作系统 哲学 认识论
作者
Sachin Kamble,Angappa Gunasekaran,Harsh Parekh,Venkatesh Mani,Amine Belhadi,Rohit Sharma
出处
期刊:Technological Forecasting and Social Change [Elsevier BV]
卷期号:176: 121448-121448 被引量:200
标识
DOI:10.1016/j.techfore.2021.121448
摘要

• The research mainly addresses digital twin for sustainable manufacturing supply chains. • A systematic literature review of 70 research papers on various dimensions of a digital twin for sustainable manufacturing is presented. • Technologies such as IoT, cloud computing, and blockchain have increased the potential of digital twin and the digital twin should include the "things" and "humans" from the entire supply chain. • A sustainable digital twin implementation framework for the supply chain is presented as an outcome of this study. 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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