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通过生命周期评估解锁供应链净零排放绩效体系:来自橡胶行业的实证证据

Unlocking net-zero supply chain performance system through life cycle assessment: Empirical evidence from rubber industry.

作者信息

Yadav Alok, Sachdeva Anish, Garg Rajiv Kumar, Qureshi Karishma M, Mewada Bhavesh G, Almakayeel Naif, Qureshi Mohamed Rafik Noor Mohamed

机构信息

Department of Industrial and Production Engineering, Dr. B. R. Ambedkar National Institute of Technology", Jalandhar, 144008, India.

Department of Mechanical Engineering, Parul Institute of Technology, Parul University, Waghodia, 391760, India.

出版信息

Heliyon. 2024 Oct 30;10(21):e39944. doi: 10.1016/j.heliyon.2024.e39944. eCollection 2024 Nov 15.

Abstract

The ongoing transition from a supply chain (SC) to net-zero emission (NZE) in SC performance must align with Sustainable Development Goal 13 to address climate change using life cycle assessment (LCA). Effective management of LCA significantly impacts an organization's competitiveness. With a lack of technology oversight and its connections with other enabling parameters that increase competitiveness, practices in the manufacturing industry remain limited. This study identifies and evaluates key enablers for LCA adoption in the manufacturing industry to achieve NZE in SC. Based on 123 responses, an exploratory factor analysis (EFA) was employed, followed by the Best-Worst Method (BWM). Further, a Fuzzy-Decision-Making Trial and Evaluation Laboratory (Fuzzy-DEMATEL) was used. The results revealed 'organizational integration', 'data availability and quality, and 'policy and regulation' as significant group enablers that support NZSC to compete in the market. It provides insights for industry practitioners and policymakers on optimizing sustainable SC practices. The essential practical recommendations for resource optimization and carbon footprint reduction are also suggested.

摘要

供应链(SC)绩效从传统供应链向净零排放(NZE)的持续转变必须与可持续发展目标13保持一致,即通过生命周期评估(LCA)来应对气候变化。LCA的有效管理对组织的竞争力有重大影响。由于缺乏技术监督及其与其他提升竞争力的支持参数之间的联系,制造业中的相关实践仍然有限。本研究识别并评估了制造业采用LCA以实现供应链净零排放的关键推动因素。基于123份回复,首先采用探索性因素分析(EFA),随后使用最佳最差法(BWM)。此外,还运用了模糊决策试验与评价实验室(Fuzzy-DEMATEL)。结果表明,“组织整合”、“数据可用性和质量”以及“政策与法规”是支持净零供应链在市场中竞争的重要群体推动因素。它为行业从业者和政策制定者优化可持续供应链实践提供了见解。还提出了资源优化和减少碳足迹的重要实用建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/768b/11564032/8c87f4373273/gr1.jpg

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