人工智能(AI)的行业经验:运营和供应链管理的好处和挑战

IF 6.1 3区管理学 Q1 ENGINEERING, INDUSTRIAL

Production Planning & Control Pub Date : 2021-04-16 DOI:10.1080/09537287.2021.1882695

S. Fosso Wamba, M. Queiroz, C. Guthrie, A. Braganza

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引用次数: 20

摘要

这篇社论旨在介绍特刊(SI)接受的论文。“人工智能(AI)的行业经验:运营和供应链管理的好处和挑战。”首先，我们简要介绍了人工智能与运营和供应链管理(OSCM)之间的关系，重点介绍了一些已经使用人工智能的公司和实际的见解。我们依次介绍入选SI的论文。最后一部分通过强调潜在的主题、研究机会和可能带来的好处，为学者和行业从业者提供了一些有趣和具有挑战性的研究方向。通过本次SI，我们期待帮助行业从业者、政策制定者、学者以及所有对这一领域感兴趣的人获得更多关于人工智能应用的知识和与OSCM相关的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Industry experiences of artificial intelligence (AI): benefits and challenges in operations and supply chain management

Abstract This editorial aims to present the papers accepted for the special issue (SI) 'Industry experiences of Artificial Intelligence (AI): benefits and challenges in operations and supply chain management.' First, we provide a brief introduction considering the relationship between AI and operations and supply chain management (OSCM) by highlighting some companies already using and practical insights. In sequence, we introduce the papers selected for the SI. The last section gives some intriguing and challenging research directions for scholars and industry practitioners by highlighting potential topics, research opportunities, and possible benefits. Through this SI, we look forward to helping industry practitioners, policy-makers, scholars, and all interested in this field to gain more knowledge about AI applications and insights in relation to OSCM.

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来源期刊

Production Planning & Control 管理科学-工程：工业

CiteScore

19.30

自引率

9.60%

发文量

审稿时长

6-12 weeks

期刊介绍： Production Planning & Control is an international journal that focuses on research papers concerning operations management across industries. It emphasizes research originating from industrial needs that can provide guidance to managers and future researchers. Papers accepted by "Production Planning & Control" should address emerging industrial needs, clearly outlining the nature of the industrial problem. Any suitable research methods may be employed, and each paper should justify the method used. Case studies illustrating international significance are encouraged. Authors are encouraged to relate their work to existing knowledge in the field, particularly regarding its implications for management practice and future research agendas.