A framework for the systematic implementation of Green Lean Six Sigma to improve performance in the manufacturing industry

被引：0
|
作者：
Yadav, Vishwas [1 ]
Gahlot, Pardeep [1 ]
Duhan, Raj Kumar [1 ]
Kaswan, Mahender Singh [2 ]
Rathi, Rajeev [3 ]
Yadav, Gunjan [4 ]
Kumar, Pawan [5 ]
Kumar, Varun [5 ]
机构：
[1] Department of Mechanical Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Haryana, Rohtak, India
[2] School of Mechanical Engineering, Lovely Professional University, Punjab, Phagwara, India
[3] Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, India
[4] Department of Mechanical Engineering, Swarrnim Startup and Innovation University, Gandhinagar, India
[5] Lovely Professional University, Punjab, Phagwara, India
来源：
International Journal of Internet Manufacturing and Services | 2023年 / 9卷 / 2-3期
关键词：
Environmental impact - Lean production - Process monitoring - Sustainable development - Work simplification;
D O I：
10.1504/IJIMS.2023.132776
中图分类号：
学科分类号：
摘要：
Green Lean Six Sigma (GLSS) is an all-inclusive methodology that assists the optimal utilisation of resources, minimises waste, and imparts the pathway for sustainable development. This study proposes a novel five facet GLSS framework for the manufacturing industry to improve performance in terms of different sustainability dimensions. The framework has been designed based on three key dimensions: insights from literature, the experience of authors, and inputs from the case organisation members. The framework is validated in an Indian automotive component manufacturing organisation. From the effective implementation of the proposed GLSS framework, defects were minimised from 18,000 ppm to 7,000 ppm and environmental impacts were brought down from 44.70 Pt to 32.70 Pt. This study facilitates industrial managers and practitioners to adopt the GLSS approach to improve sustainability dynamics in the manufacturing industries. Copyright © 2023 Inderscience Enterprises Ltd.
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页码：341 / 372
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