An integrated fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit assessment and supplier selection

Supplier selection is a strategic decision for reducing risk, maximising overall value, and establishing strong, mutually beneficial long-term relationships between the members in supply chain management. Identifying and prioritising the risks and benefits from each supplier enables managers to cons...

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Bibliographic Details
Published in:International journal of systems science. Operations & logistics 2021-07, Vol.ahead-of-print (ahead-of-print), p.1-24
Main Authors: Tavana, Madjid, Shaabani, Akram, Mansouri Mohammadabadi, Soleyman, Varzgani, Nilofar
Format: Article
Language:English
Subjects:
fuzzy analytic hierarchy process
fuzzy MULTIMOORA
sensitivity analysis
Supplier selection
supply chain risk-benefit
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Summary:Supplier selection is a strategic decision for reducing risk, maximising overall value, and establishing strong, mutually beneficial long-term relationships between the members in supply chain management. Identifying and prioritising the risks and benefits from each supplier enables managers to consider these factors and select the most suitable supplier. We propose an integrated approach for supply chain risk-benefit assessment and supplier selection by combining the fuzzy analytic hierarchy process (AHP) with the fuzzy multiplicative multi-objective optimisation based on ratio analysis (MULTIMOORA). The fuzzy AHP is used to measure the importance of the supply chain risks and benefits and the fuzzy MULTIMOORA is used to rank the suppliers. We present a case study to demonstrate the applicability and exhibit the efficacy of the proposed integrated framework. We also study the uncertainty in the output of our proposed framework using sensitivity analysis.
ISSN:2330-2674
2330-2682
DOI:10.1080/23302674.2020.1737754