Performance measurement framework of green supply chain implementation in the context of Indian manufacturing organizations

S. S. Panpatil, Swapnil Lahane, R. Kant
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引用次数: 1

Abstract

Purpose This research aims to explore the various green supply chain management (GSCM) performance measures and develop the efficient performance measurement framework for evaluation of influence of GSCM adoption on organizational performance.Design/methodology/approach This research proposes a hybrid framework of Pythagorean fuzzy analytic hierarchy process and Pythagorean fuzzy weighted aggregated sum product assessment technique. The usefulness of proposed framework is validated using empirical case example of Indian manufacturing organization.Findings The finding reveals that the overall performance of case organization is 67.03% based on define set of performance measures. Further, the proposed framework has been validated with other three Indian automobile manufacturing organizations. The results obtained were confirmed with selected empirical case company. The proposed hybrid framework provides the effective path to measure and benchmark the impact of each performance measures on system performance.Research limitations/implications This research is limited to automobile sector of India; hence the results obtained in this study may not be comprehensibly used to other sectors due to different product and process fields.Originality/valueThis research aids the industrial practitioners to effectively implement the green supply chain management (GSCM) and helps them to boost the overall performance of business organizations in three dimensions of sustainability.
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印度制造企业绿色供应链实施的绩效评估框架
本研究旨在探讨绿色供应链管理(GSCM)的各种绩效衡量指标,并开发有效的绩效衡量框架,以评估采用绿色供应链管理对组织绩效的影响。本研究提出一种毕达哥拉斯模糊层次分析法与毕达哥拉斯模糊加权总和积评价技术的混合框架。以印度制造企业为例,验证了该框架的有效性。研究结果表明,基于定义的绩效指标集,案例组织的总体绩效为67.03%。此外,提议的框架已与其他三家印度汽车制造组织进行了验证。选取的实证案例公司对所得结果进行了验证。所提出的混合框架提供了有效的路径来衡量和基准测试每个性能指标对系统性能的影响。本研究仅限于印度的汽车行业;因此,由于产品和工艺领域的不同,本研究的结果可能无法全面应用于其他部门。原创性/价值本研究有助于行业从业者有效实施绿色供应链管理,并帮助他们在可持续性三个维度上提升企业组织的整体绩效。
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来源期刊
CiteScore
6.50
自引率
3.20%
发文量
30
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