Interactive Fuzzy Multi Criteria Decision Making Approach for Supplier Selection and Order Allocation in a Resilient Supply Chain

Sonia Irshad Mari, Muhammad Saad Memon, Muhammad Babar Ramzan, Sheheryar Mohsin Qureshi and Muhammad Waqas Iqbal
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Sonia Irshad Mari: Department of Industrial Engineering and Management, Mehran University of Engineering and Technology, Jamshoro, Sindh 76062, Pakistan
Muhammad Babar Ramzan: Department of Garment Manufacturing, National Textile University, Faisalabad 37610, Pakistan
Sheheryar Mohsin Qureshi: Department of Industrial and Manufacturing Engineering, NED University of Engineering and Technology, Karachi 75270, Pakistan
Muhammad Waqas Iqbal: Department of Industrial Engineering, Hongik University, Seoul 04066, Korea

Mathematics, 2019, vol. 7, issue 2, 1-16

Abstract: Modern supply chains are vulnerable to high impact, low probability disruption risks. A supply chain usually operates in such a network of entities where the resilience of one supplier is critical to overall supply chain resilience. Therefore, resilient planning is a key strategic requirement in supplier selection decisions for a competitive supply chain. The aim of this research is to develop quantitative resilient criteria for supplier selection and order allocation in a fuzzy environment. To serve the purpose, a possibilistic fuzzy multi-objective approach was proposed and an interactive fuzzy optimization solution methodology was developed. Using the proposed approach, organizations can tradeoff between cost and resilience in supply networks. The approach is illustrated using a supply chain case from a garments manufacturing company.

Keywords: resilient supply chain; supplier selection; fuzzy optimization; disruption risks (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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