Lean and Green Decision Model for Lean Tools Selection

被引:3
|
作者
Hegedic, Miro [1 ]
Gudlin, Mihael [1 ]
Golec, Matija [1 ]
Tosanovic, Natasa [1 ]
机构
[1] Univ Zagreb, Fac Mech Engn & Naval Architecture, Dept Ind Engn, Ivana Lucica 5, Zagreb 10000, Croatia
关键词
lean production; green production; lean tools; economic performance indicators; environmental performance indicators; ENVIRONMENTAL-MANAGEMENT SYSTEMS; OPERATIONAL PERFORMANCE; BUSINESS PERFORMANCE; IMPLEMENTATION; IMPACT; METHODOLOGY; PRODUCTIVITY; IMPROVEMENT; STRATEGY;
D O I
10.3390/su16031173
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Today's businesses face a critical need to balance sustainability, environmental responsibility, and operational excellence. Integrating lean and green methodologies holds promise for achieving this balance but presents challenges in real-sector implementation. Despite extensive research in the scientific community, a universally accepted model for integrated lean and green implementation is lacking. Limited research also explores the impact of lean tools on environmental performance indicators. This study aims to identify key economic and environmental performance indicators and investigate how they are influenced by lean tools. The primary objective is to develop a decision-making model facilitating lean tool implementation based on a company's priorities for economic and environmental performance. The methodology involves a literature review, complemented by questionnaires and interviews with experts from academia and the real sector. The findings show that commonly used lean tools positively influence economic and environmental indicators. The decision-making model, tailored to chosen criteria priorities, was successfully validated using simulated and real company data, which makes it a potentially valuable resource for companies navigating integrated lean and green methodologies. While the obtained results show promise, it is important to highlight the limitations arising from the regional focus on Croatia and the inclusion of a subset of the manufacturing industry.
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收藏
页数:38
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