Mechanical Engineering Department, Sardar Vallabhbhai National Institute of Technology, Ichchhanath, Surat 395007, Gujarat, India.
Waste Manag. 2022 Apr 15;143:1-14. doi: 10.1016/j.wasman.2022.02.016. Epub 2022 Feb 22.
Recently, the novel concept of the circular supply chain (CSC) has gained substantial attention amongst researchers across the globe. It is due to the issues of unsustainability in supply chain operation of manufacturing industry. CSC amalgamates the circular economy (CE) into the supply chain of manufacturing organizations. Business organizations can achieve several sustainable development goals by adopting CSC as an innovative strategy. However, limited attention has been given to its implementation in emerging economies. Thus, this research aim is to identify and analyze the essential CE practices that help to accomplish the several sustainable development goals (SDGs) of CSC management. This research presents an integrated framework of Pythagorean fuzzy analytic hierarchy process (PF-AHP) and Pythagorean fuzzy combinative distance-based assessment (PF-CODAS) techniques. PF-AHP is employed to determine the relative importance of CE practices, whereas PF-CODAS method ranks the SDGs derived due to the adoption of CE practices. The effectiveness of the proposed framework is validated with the help of an Indian manufacturing organization. The finding of this research reveals that practices based on 'government', 'management', and 'economy' initiatives play a significant role and contribute 50 % of its influence on the effective CSC adoption, whereas, 'mitigate waste and enhance environmental sustainability', is identified as the most critical SDG realized due to adoption of CE practices. Sensitivity analysis is conducted to check the robustness of proposed methods. This research provides the systematic, accurate, and valuable decision support tools to practitioners to execute the CE practices efficiently for achieving the various sustainability goals.
最近，循环供应链（CSC）的新概念引起了全球研究人员的广泛关注。这是由于制造业供应链运营的可持续性问题。CSC 将循环经济（CE）纳入制造组织的供应链中。企业组织可以通过采用 CSC 作为创新战略来实现几个可持续发展目标。然而，对于其在新兴经济体中的实施，关注有限。因此，本研究旨在确定和分析有助于实现 CSC 管理的几个可持续发展目标（SDG）的基本 CE 实践。本研究提出了一种基于 Pythagorean 模糊层次分析法（PF-AHP）和 Pythagorean 模糊组合距离评估（PF-CODAS）技术的综合框架。PF-AHP 用于确定 CE 实践的相对重要性，而 PF-CODAS 方法则根据采用 CE 实践得出的 SDG 进行排名。通过一家印度制造企业对所提出框架的有效性进行了验证。研究结果表明，基于“政府”、“管理”和“经济”举措的实践具有重要作用，对有效采用 CSC 的影响贡献了 50%，而“减少浪费和提高环境可持续性”被确定为由于采用 CE 实践而实现的最重要的 SDG。进行了敏感性分析以检查所提出方法的稳健性。本研究为实践者提供了系统、准确和有价值的决策支持工具，以有效地执行 CE 实践，实现各种可持续性目标。
