The role of artificial intelligence in supply chain management: mapping the territory

IF 7 2区工程技术 Q1 ENGINEERING, INDUSTRIAL

International Journal of Production Research Pub Date : 2022-02-09 DOI:10.1080/00207543.2022.2029611

Rohit Sharma, Anjali Shishodia, A. Gunasekaran, Hokey Min, Z. H. Munim

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引用次数: 45

Abstract

The study aims to identify the current trends, gaps, and research opportunities in research pertaining to the disruptive field of artificial intelligence (AI) applications in supply chain management (SCM). Since SCM represents managerial innovation due to its new way of integrated system thinking, SCM has emerged as one of the most fruitful business disciplines for AI applications. The study utilises bibliometric review in tracing the evolution of AI research in SCM and further synthesises decades of past AI research efforts to develop viable solutions for various supply chain problems and then proposes promising future research themes that would enrich supply chain decision-aid tools. The study identified five main research clusters through scholarly network and content analysis. The identified themes were: (a) supply chain network design (SCND), (b) supplier selection, (c) inventory planning, (d) demand planning, and (e) green supply chain management. As the role of AI in SCM continues to grow, there is a growing need for exploiting AI as a way to add value to supply chain process. The study proposes a research framework which will help academicians and practitioners in identifying current research patterns of AI in SCM.

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人工智能在供应链管理中的作用：绘制版图

该研究旨在确定人工智能（AI）在供应链管理（SCM）中的颠覆性应用领域的研究现状、差距和研究机会。由于供应链管理以其新的集成系统思维方式代表了管理创新，供应链管理已成为人工智能应用领域最富有成果的商业学科之一。该研究利用文献计量学综述来追踪供应链管理中人工智能研究的演变，并进一步综合了过去几十年的人工智能研究成果，为各种供应链问题开发可行的解决方案，然后提出了有前景的未来研究主题，以丰富供应链决策辅助工具。该研究通过学术网络和内容分析确定了五个主要研究集群。确定的主题是：（a）供应链网络设计，（b）供应商选择，（c）库存规划，（d）需求规划，以及（e）绿色供应链管理。随着人工智能在供应链管理中的作用不断增强，人们越来越需要利用人工智能为供应链过程增加价值。该研究提出了一个研究框架，将有助于学术界和从业者识别当前人工智能在供应链管理中的研究模式。

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

International Journal of Production Research 管理科学-工程：工业

CiteScore

19.20

自引率

14.10%

发文量

318

审稿时长

6.3 months

期刊介绍： The International Journal of Production Research (IJPR), published since 1961, is a well-established, highly successful and leading journal reporting manufacturing, production and operations management research. IJPR is published 24 times a year and includes papers on innovation management, design of products, manufacturing processes, production and logistics systems. Production economics, the essential behaviour of production resources and systems as well as the complex decision problems that arise in design, management and control of production and logistics systems are considered. IJPR is a journal for researchers and professors in mechanical engineering, industrial and systems engineering, operations research and management science, and business. It is also an informative reference for industrial managers looking to improve the efficiency and effectiveness of their production systems.