考虑可持续性影响的精益六西格玛选择推动者的相互作用建模:综合循环经济和工业4.0的视角

IF 6.1 3区管理学 Q1 ENGINEERING, INDUSTRIAL

Production Planning & Control Pub Date : 2021-10-11 DOI:10.1080/09537287.2021.1980908

Akshay G. Khanzode, P. Sarma, Mohit Goswami

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引用次数: 13

摘要

工业4.0预计将影响组织的决策和响应时间，并将大大缩短它们。随着网络物理系统、互联网、智能工厂的出现，工业4.0有望成为物理过程驱动行业实现社会可持续经济目标的辅助工具。本研究的目的是确定一组LSS的推动者，以便他们可以帮助LSS在制造组织中的实施。一项全面的文献调查确定了LSS的推动者，并得到了行业专家和学者的投入。在专家委员会研究的37个因素中，有14个是LSS的促成因素。使用经典的DEMAT EL方法推导了导致CE和可持续性的选定使能因素之间的因果关系。有意实施LSS的组织可以从实现CE和可持续性目标中获益，这些目标可以通过工业4.0进一步加快。

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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Modelling interactions of select enablers of Lean Six-Sigma considering sustainability implications: an integrated circular economy and Industry 4.0 perspective

Abstract Industry 4.0 is expected to impact the decision-making and response time of organizations and shall reduce them drastically. With cyber-physical systems, internet, smart factories Industry 4.0 is expected to emerge as assisting tool for physical process-enabled industries towards embracing socially sustainable economic goals. The objective of this study is to identify a set of enablers of LSS so that they can assist in LSS implementation in the manufacturing organizations. A comprehensive literature survey identifies enablers of LSS with inputs from industry experts and academicians. Fourteen enablers of LSS were converged upon out of the 37 studied by the expert committee. The classical DEMAT EL method was used to derive the causal relationships between select enablers leading to CE and sustainability. An organization with an intent to implement LSS can reap benefits of achieving goals of CE and sustainability which can further be expedited with Industry 4.0.

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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.