Leveraging industry 4.0 technologies for sustainable supply chain management: A systematic review

IF 6.8 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Hui Han , Jingyue Li
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引用次数: 0

Abstract

Integrating sustainability into supply chain management is both a challenge and a strategic necessity. This review aims to bridge the gap in the literature by examining how Industry 4.0 (I4.0) technologies can advance sustainable supply chain management (SSCM). By systematically analyzing 231 studies, this paper identifies major technological barriers, including eco-efficiency deficits, data privacy concerns, and compatibility issues, that hinder SSCM adoption. It systematically explores six key I4.0 technologies—Blockchain, Big Data Analytics, IoT, Additive Manufacturing, Cyber-Physical Systems, and Cloud Computing—demonstrating their capabilities to overcome these challenges and achieve sustainable outcomes. Furthermore, this review highlights critical research gaps and proposes a detailed roadmap for future exploration, emphasizing the development of integration frameworks, advanced data management, and the exploration of emerging technologies like AI and augmented reality. By offering a strategic framework on I4.0′s potential to drive sustainable practices, this study provides actionable insights for scholars, practitioners, and policymakers to leverage I4.0 technologies for sustainable innovation.
利用工业4.0技术实现可持续供应链管理:系统回顾
将可持续发展纳入供应链管理既是一项挑战,也是一项战略需要。本综述旨在通过研究工业4.0 (I4.0)技术如何推进可持续供应链管理(SSCM)来弥合文献中的差距。通过系统分析231项研究,本文确定了阻碍SSCM采用的主要技术障碍,包括生态效率缺陷、数据隐私问题和兼容性问题。它系统地探讨了六项关键的工业4.0技术——区块链、大数据分析、物联网、增材制造、网络物理系统和云计算——展示了它们克服这些挑战并实现可持续成果的能力。此外,本综述强调了关键的研究差距,并为未来的探索提出了详细的路线图,强调了集成框架的发展,先进的数据管理,以及对人工智能和增强现实等新兴技术的探索。通过提供一个关于工业4.0推动可持续实践潜力的战略框架,本研究为学者、从业者和政策制定者提供了可操作的见解,以利用工业4.0技术实现可持续创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.60
自引率
0.00%
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