Lean and Green Decision Model for Lean Tools Selection
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作者:
Hegedic, Miro
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Univ Zagreb, Fac Mech Engn & Naval Architecture, Dept Ind Engn, Ivana Lucica 5, Zagreb 10000, CroatiaUniv Zagreb, Fac Mech Engn & Naval Architecture, Dept Ind Engn, Ivana Lucica 5, Zagreb 10000, Croatia
Hegedic, Miro
[1
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Gudlin, Mihael
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Univ Zagreb, Fac Mech Engn & Naval Architecture, Dept Ind Engn, Ivana Lucica 5, Zagreb 10000, CroatiaUniv Zagreb, Fac Mech Engn & Naval Architecture, Dept Ind Engn, Ivana Lucica 5, Zagreb 10000, Croatia
Gudlin, Mihael
[1
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Golec, Matija
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Univ Zagreb, Fac Mech Engn & Naval Architecture, Dept Ind Engn, Ivana Lucica 5, Zagreb 10000, CroatiaUniv Zagreb, Fac Mech Engn & Naval Architecture, Dept Ind Engn, Ivana Lucica 5, Zagreb 10000, Croatia
Golec, Matija
[1
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Tosanovic, Natasa
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Univ Zagreb, Fac Mech Engn & Naval Architecture, Dept Ind Engn, Ivana Lucica 5, Zagreb 10000, CroatiaUniv Zagreb, Fac Mech Engn & Naval Architecture, Dept Ind Engn, Ivana Lucica 5, Zagreb 10000, Croatia
Tosanovic, Natasa
[1
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机构:
[1] Univ Zagreb, Fac Mech Engn & Naval Architecture, Dept Ind Engn, Ivana Lucica 5, Zagreb 10000, Croatia
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.
机构:
Wbk Institut für Produktionstechnik, Karlsruher Institut für Technologie (KIT), Kaiserstr. 12, Karlsruhe,D-76131, GermanyWbk Institut für Produktionstechnik, Karlsruher Institut für Technologie (KIT), Kaiserstr. 12, Karlsruhe,D-76131, Germany
Greinacher, S.
Moser, E.
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Wbk Institut für Produktionstechnik, Karlsruher Institut für Technologie (KIT), Kaiserstr. 12, Karlsruhe,D-76131, GermanyWbk Institut für Produktionstechnik, Karlsruher Institut für Technologie (KIT), Kaiserstr. 12, Karlsruhe,D-76131, Germany
Moser, E.
Hermann, H.
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机构:
Wbk Institut für Produktionstechnik, Karlsruher Institut für Technologie (KIT), Kaiserstr. 12, Karlsruhe,D-76131, GermanyWbk Institut für Produktionstechnik, Karlsruher Institut für Technologie (KIT), Kaiserstr. 12, Karlsruhe,D-76131, Germany
Hermann, H.
Lanza, G.
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机构:
Wbk Institut für Produktionstechnik, Karlsruher Institut für Technologie (KIT), Kaiserstr. 12, Karlsruhe,D-76131, GermanyWbk Institut für Produktionstechnik, Karlsruher Institut für Technologie (KIT), Kaiserstr. 12, Karlsruhe,D-76131, Germany