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A hybrid multi-criteria decision approach to analyze key factors affecting sustainability in supply chain networks of manufacturing organizations

机译：一种混合多标准决策方法，分析影响制造组织供应链网络可持续性的关键因素

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摘要

Companies are under increasing pressure to inculcate sustainability in their supply chain networks. However, the companies face significant amount of barriers in pursuit of implementing sustainability initiatives in their supply chain networks. The study helps to identify and understand the key factors (barriers and drivers) that impact the sustainability in the supply chain networks at the organizational level (intrinsic) and country level (extrinsic). The present research combines fuzzy-based analytical hierarchy process with fuzzy Technique for Order of Preference by Similarity to Ideal Solution methods to rank the barriers to the sustainability adoption in companies and the drivers that assist in overcoming these barriers, respectively. The barriers are ranked using the fuzzy AHP method, while the fuzzy TOPSIS method is used to prioritize the drivers. Prioritizing the drivers will aid the companies to focus on the top-ranked drivers and formulate strategies for effective sustainability implementation. The sturdiness of the proposed model is judged by a sensitivity analysis test. Lack of regulations, lack of top management commitment and financial constraints are identified as top three barriers, whereas product quality improvement, integration of sustainability principles into decision making, and pressure from consumers and investors are the three most significant drivers for achieving sustainability in supply chain networks. In this study, a significant number of barriers and drivers have been analyzed that will help sustainability managers to develop a better understanding of the severity of different barriers and significance of the drivers for improving the sustainability in their supply chain networks.
机译：公司正在增加压力，以灌输供应链网络的可持续性。然而，这些公司面临着大量的障碍，以追求在供应链网络中实施可持续性举措。该研究有助于识别和理解影响组织层面（内在）和国家一级（外在）供应链网络中的可持续性的关键因素（障碍和司机）。本研究结合了模糊的分析层次处理，以模糊技术与相似性与理想解决方案方法的偏好顺序，以便分别对公司的可持续性采用的障碍和有助于克服这些障碍的司机。使用模糊AHP方法排列屏障，而模糊TopSIS方法用于优先考虑驱动程序。优先考虑司机将帮助公司专注于排名第一的司机，并制定有效的可持续性实施策略。通过敏感性分析测试判断所提出的模型的稳定性。缺乏法规，缺乏高层管理承诺和财政限制被确定为前三名障碍，而产品质量改进，可持续性原则将可持续性原则纳入决策，以及消费者和投资者的压力是实现供应链可持续发展的三个最重要的司机网络。在这项研究中，已经分析了大量的障碍和司机，这将有助于可持续发展管理者能够更好地了解司机的严重程度和司机的意义，以提高其供应链网络中的可持续性。

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