Abstract
With the increasing market pressure to incorporate sustainability, manufacturing organizations need to develop innovative strategies to achieve competitiveness. This has led to a number of manufacturing enterprises to explore the possibility of adoption of Lean, Green, and Resilient (LGR) practices into their operations. The major problems with these strategies are the incorporation and identification of major LGR practices which should be focused by the top management in enhancing the overall performance of the automotive supply chains. To address this issue, the present study proposes a framework for analyzing these practices by evaluating and prioritizing various LGR paradigms, using a new multi-criteria technique of best–worst method (BWM). The results of this study will aid the practitioners and decision-makers in deciding the major focus to achieve their target and stand ahead of their competitions. A case of the Indian automotive industry is used for validating the present study.
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Agarwal, V. (2021). Analysis of Lean, Green, and Resilient Practices for Indian Automotive Supply Chain Performance Using Best–Worst Method. In: Kapur, P.K., Singh, G., Panwar, S. (eds) Advances in Interdisciplinary Research in Engineering and Business Management. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-16-0037-1_27
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DOI: https://doi.org/10.1007/978-981-16-0037-1_27
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