文章基本信息

标题：Performance evaluation of lean sustainable systems using adaptive neuro fuzzy inference system: a case study
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作者：R. Ben Ruben ; P. Asokan ; S. Vinodh 等
期刊名称：International Journal of Sustainable Engineering
印刷版ISSN：1939-7038
出版年度：2017
卷号：10
期号：3
页码：158-175
DOI：10.1080/19397038.2017.1286409
语种：English
出版社：Taylor & Francis Group
摘要：AbstractThe modern manufacturing organisations have been adopting both lean and sustainable manufacturing paradigms to survive in the competitive environment. Lean and sustainable strategies aim at achieving productivity improvement by streamlined processes and waste elimination. The performance of such integrated lean sustainable system has to be assessed to ensure whether the strategic objectives are in line with customer value and to identify improvement opportunities that enable and enhance the competitive advantage of an integrated lean sustainable system. This paper presents the formulation of conceptual performance evaluation model to assess lean sustainable systems. Appropriate performance indicators have been identified and adaptive neuro fuzzy inference system approach is used to evaluate lean sustainability. A case of automotive component manufacturing firm in Indian scenario is exemplified. Based on the evaluation, lean sustainability index was computed and the firm was found to be ‘Averagely Lean Sustainable’. Further improvement actions to enhance the lean sustainable performance were planned and implemented. The developed performance evaluation model is capable of effectively evaluating the lean sustainable performance of manufacturing firms and has more practical relevance.
关键词：KeywordsenLean manufacturingsustainable manufacturingleannesssustainabilityANFISlean sustainabilityperformance evaluation