Unlocking synergies in lean manufacturing for enhanced environmental performance: a cross-sector investigation through fuzzy DEMATEL

IF 6.8 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Matteo Ferrazzi, Federica Costa, Stefano Frecassetti, Alberto Portioli-Staudacher
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引用次数: 0

Abstract

The growing urgency to tackle environmental challenges has prompted an expansion of Lean management to include environmental sustainability performance. However, there is a lack of research exploring how specific Lean manufacturing practices interact to enhance the environmental performance of manufacturing firms. This study investigates cause-effect relationships among Lean manufacturing practices for improving environmental performance, focusing on the textile/apparel and Food sectors. Based on current literature, “hard” and “soft” Lean practices were identified and divided into four bundles. Utilizing the fuzzy DEMATEL methodology, the cause-effect relationships of Lean manufacturing practices are analyzed. The results reveal five distinct areas of Lean manufacturing practices, highlighting their interconnectedness. This article shows the dependency relationships among various Lean manufacturing practices for better environmental performance. In particular, it shows the enabler role that soft practices have across the two industries analyzed. It also shows how the manufacturing sector is a factor that modifies the relationships between hard practices. In conclusion, this study can guide manufacturing companies willing to implement the Lean socio-technical system to shift to more environmentally sustainable production models.
为提高环境绩效解锁精益制造的协同效应:通过模糊DEMATEL的跨部门调查
应对环境挑战的日益紧迫性促使精益管理的扩展,包括环境可持续性绩效。然而,缺乏研究探讨具体的精益生产实践如何相互作用,以提高制造企业的环境绩效。本研究调查了精益生产实践对改善环境绩效的因果关系,重点是纺织/服装和食品行业。基于目前的文献,“硬”和“软”精益实践被识别并分为四束。利用模糊DEMATEL方法,分析了精益生产实践的因果关系。结果揭示了精益生产实践的五个不同领域,突出了它们的相互联系。本文展示了各种精益生产实践之间的依赖关系,以获得更好的环境绩效。特别是,它显示了软实践在所分析的两个行业中所扮演的推动者角色。它还显示了制造业是如何改变硬实践之间关系的一个因素。总之,本研究可以指导愿意实施精益社会技术系统的制造企业转向更环保的可持续生产模式。
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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CiteScore
8.60
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0.00%
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