Abstract

“Industry 4.0” is a concept that focuses on automation of system and process, digitalization, and data exchange in industries. Its goal is to achieve a smart factory to reduce lead time to respond to the customers’ demand or to unforeseen events and improve productivity in the system. Using this concept can lead to improvements in manufacturing, supply chain (SC), and logistics. The adoption of Industry 4.0 in supply chain management (SCM) is a new and critical subject with a need for more research. A few studies have started reviewing the existing works on Industry 4.0; however, they do not focus on its role in SCM. This paper presents a systematic review and synthesis of the current literature on Industry 4.0 in SCM that brings out some interesting findings, which will be helpful for the academic and industry, especially top managers. This work identifies three categories from the content of the papers as exploratory vs. confirmatory, qualitative vs. quantitative, management level vs. process/technology level. Additionally, based on the Topic Modeling (TM) technique, three different clusters of Supply Chain, Logistics and Manufacturing topics were extracted. Current shortcomings, challenges, and future research directions are discussed in the conclusion.

摘要

“工业4.0”是一个专注于工业系统和流程自动化、数字化和数据交换的概念。其目标是实现智能工厂，以减少响应客户需求或不可预见事件的前置时间，并提高系统的生产力。使用这个概念可以改进制造、供应链 (SC) 和物流。在供应链管理 (SCM) 中采用工业 4.0 是一个新的关键课题，需要更多研究。一些研究已经开始审查工业 4.0 的现有工作；然而，他们并不关注它在 SCM 中的作用。本文对当前有关 SCM 中工业 4.0 的文献进行了系统回顾和综合，得出了一些有趣的发现，这将对学术界和行业，尤其​​是高层管理人员有所帮助。这项工作从论文的内容中确定了三个类别：探索性与验证性、定性与定量、管理水平与过程/技术水平。此外，基于主题建模 (TM) 技术，提取了供应链、物流和制造主题的三个不同集群。结论部分讨论了当前的不足、挑战和未来的研究方向。