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Sustainability 2016, 8(10), 1038; doi:10.3390/su8101038

Sustainable and Resilient Garment Supply Chain Network Design with Fuzzy Multi-Objectives under Uncertainty

1
Department of Industrial and Management Engineering, Hanyang University, Ansan 15588, Korea
2
Department of Industrial Engineering and Management, Mehran University, Jamshoro 76062, Pakistan
*
Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Received: 14 June 2016 / Revised: 9 October 2016 / Accepted: 10 October 2016 / Published: 16 October 2016
(This article belongs to the Special Issue Sustainability in Supply Chain Management)
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Abstract

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. View Full-Text
Keywords: sustainable supply chain; resilient supply chain; disruption risks; possibilistic fuzzy optimization; multi-objective optimization sustainable supply chain; resilient supply chain; disruption risks; possibilistic fuzzy optimization; multi-objective optimization
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MDPI and ACS Style

Mari, S.I.; Lee, Y.H.; Memon, M.S. Sustainable and Resilient Garment Supply Chain Network Design with Fuzzy Multi-Objectives under Uncertainty. Sustainability 2016, 8, 1038.

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