工业4.0与精益生产相结合的兼容性、机遇与挑战

IF 1.9 4区 管理学 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Serdar Yürekli, Carola Schulz
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引用次数: 3

摘要

与第四次工业革命相关的技术不断提高和不断推进的数字化正在影响当今的生产过程和工厂的竞争力。在智能网络系统的帮助下,将工业4.0集成到精益生产中可以产生更高效、更精简的生产和物流。然而,将这两个概念结合起来也会带来一些挑战,例如将技术复杂地集成到精益生产工具中,以及员工对接受新的技术方式的抵制。此外,还缺乏实际研究来指导企业将不同工业4.0技术的哪些变体集成到其精益生产流程中。本文分析了工业4.0与精益生产的兼容性,并通过强调两者结合的机遇和挑战,提出了切实可行的解决方案。本研究基于系统的文献分析和评估专家访谈,从而得出研究结果和假设。研究结果解释了精益生产和工业4.0如何成功结合,以及需要和应该在管理层面考虑哪些方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compatibility, opportunities and challenges in the combination of Industry 4.0 and Lean Production
The continuous increase in technology associated with the Fourth Industrial Revolution and advancing digitalization are influencing today’s production processes and the competitiveness of factories. Integrating Industry 4.0 into Lean Production can generate more efficient, leaner production and logistics with the help of intelligent networking systems. However, combining the two concepts also poses some challenges, such as the complex integration of technology into the Lean Production tools, and a resistance from employees to accept new technological ways. Furthermore, there is a lack of practical studies that guide companies on which variant of the different Industry 4.0 technologies should and could be integrated into their Lean Production processes. This paper analyzes the compatibility of Industry 4.0 and Lean Production and presents practical solutions by highlighting the opportunities and challenges of combining the two. This research is based on a systematic literature analysis and evaluating expert interviews which leads to the findings and hypotheses. The results explain how Lean Production and Industry 4.0 can be successfully combined, and which aspects need to be and should be considered on a management level.
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来源期刊
Naval Research Logistics
Naval Research Logistics 管理科学-运筹学与管理科学
CiteScore
4.20
自引率
4.30%
发文量
47
审稿时长
8 months
期刊介绍: Submissions that are most appropriate for NRL are papers addressing modeling and analysis of problems motivated by real-world applications; major methodological advances in operations research and applied statistics; and expository or survey pieces of lasting value. Areas represented include (but are not limited to) probability, statistics, simulation, optimization, game theory, quality, scheduling, reliability, maintenance, supply chain, decision analysis, and combat models. Special issues devoted to a single topic are published occasionally, and proposals for special issues are welcomed by the Editorial Board.
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