文章基本信息

标题：Sustainable and Resilient Garment Supply Chain Network Design with Fuzzy Multi-Objectives under Uncertainty
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作者：Mari, Sonia Irshad ; Lee, Young Hae ; Memon, Muhammad Saad 等
期刊名称：Sustainability
印刷版ISSN：2071-1050
出版年度：2016
卷号：8
期号：10
出版社：MDPI, Open Access Journal
摘要：Researchers and practitioners are taking more interest in developing sustainable garment supply chains in recent times. On the other hand, the supply chain manager drops sustainability objectives while coping with unexpected natural and man-made disruption risks. Hence, supply chain managers are now trying to develop sustainable supply chains that are simultaneously resilient enough to cope with disruption risks. Owing to the importance of the considered issue, this study proposed a network optimization model for a sustainable and resilient supply chain network by considering sustainability via embodied carbon footprints and carbon emissions and resilience by considering resilience index. In this paper, initially, a possibilistic fuzzy multi-objective sustainable and resilient supply chain network model is developed for the garment industry considering economic, sustainable, and resilience objectives. Secondly, a possibilistic fuzzy linguistic weight-based interactive solution method is proposed. Finally, a numerical case example is presented to show the applicability of the proposed model and solution methodology.
关键词：sustainable supply chain; resilient supply chain; disruption risks; possibilistic fuzzy optimization; multi-objective optimization