工业4.0中精益供应链规划概念模型的开发:运营管理的多维分析

IF 6.1 3区 管理学 Q1 ENGINEERING, INDUSTRIAL
John Reyes, J. Mula, Manuel Díaz-Madroñero
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引用次数: 35

摘要

精益供应链(LSC)是一组由上游和下游价值流直接联系在一起的组织,这些过程协同工作以减少成本和浪费。当前,全球面临新冠肺炎疫情造成的一系列前所未有的供需中断,供应链面临考验。本文对结构和多结构组件进行了详细的研究,以开发一个概念性参考模型,该模型将工业4.0 (I4.0)数字技术与精益制造工具相结合,以减少精益供应链规划(LSCP)背景下的浪费和成本最小化。这一概念提案的主要理论贡献是建立了精益、敏捷、可持续、弹性和灵活范式之间的结构化关系,通过实施工业4.0使能技术来提高供应链绩效。所提出的概念模型被称为LSCP 4.0,并通过一家大型鞋类公司的案例研究进行了应用和验证。它可以帮助决策者和研究人员改进数字化SC生产过程的规划和管理,即使出现意外中断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a conceptual model for lean supply chain planning in industry 4.0: multidimensional analysis for operations management
Abstract A lean supply chain (LSC) is a set of organizations directly linked by upstream and downstream value streams between processes that work collaboratively to reduce costs and waste. Currently, supply chains (SCs) have been put to the test as the world has had to face a series of unprecedented disruptions in demand and supply caused by the COVID-19 pandemic. In this paper, a detailed study of constructs and multistructural components was carried out to develop a conceptual reference model that merges Industry 4.0 (I4.0) digital technologies with lean manufacturing tools to reduce waste and minimize costs in the lean supply chain planning (LSCP) context. The main theoretical contribution of this conceptual proposal is to establish a structured relation among the lean, agile, sustainable, resilient and flexible paradigms to improve SC performance by implementing I4.0 enabling technologies. The proposed conceptual model, dubbed as LSCP 4.0, is applied and validated with a case study in a large footwear company. It can help decision-makers and researchers to improve the planning and management of digital SC production processes, even with unexpected disruptions.
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来源期刊
Production Planning & Control
Production Planning & Control 管理科学-工程:工业
CiteScore
19.30
自引率
9.60%
发文量
72
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.
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