Lean and Green Decision Model for Lean Tools Selection

Author:

Hegedić Miro1ORCID,Gudlin Mihael1,Golec Matija1ORCID,Tošanović Nataša1

Affiliation:

1. Department of Industrial Engineering, Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lucica 5, 10000 Zagreb, Croatia

Abstract

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.

Funder

European Regional Development Fund

Publisher

MDPI AG

Reference71 articles.

1. Does lean mean green?;Dhingra;J. Clean. Prod.,2014

2. (2023, July 12). Counting the Costs of Industrial Pollution—European Environment Agency n.d. Available online: https://www.eea.europa.eu/publications/counting-the-costs-of-industrial-pollution.

3. (2023, July 17). Transforming Our World: The 2030 Agenda for Sustainable Development|Department of Economic and Social Affairs n.d. Available online: https://sdgs.un.org/2030agenda.

4. Contini, G., and Peruzzini, M. (2022). Sustainability and Industry 4.0: Definition of a Set of Key Performance Indicators for Manufacturing Companies. Sustainability, 14.

5. Integral measures and framework for green lean six sigma implementation in manufacturing environment;Yadav;Int. J. Sustain. Eng.,2021

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3