Publication | Open Access
Dimensional Analysis under Pythagorean Fuzzy Approach for Supplier Selection
24
Citations
26
References
2019
Year
EngineeringIndustrial EngineeringSupply Chain RiskSupply Chain CostsMultiple-criteria Decision AnalysisQuality Function DeploymentOperations ResearchFuzzy Multi-criteria Decision-makingSupply Chain CycleManagementLogisticsSupply ChainFuzzy OptimizationQuantitative ManagementFuzzy LogicDimensional AnalysisSupply Chain DesignSupply Chain ManagementSupply ManagementSupplier RelationshipFuzzy Expert SystemBusinessSupply Chain Analysis
The supplier appraisal process is one of the most important decision problems for companies focused on improving supply chain costs. Supplier selection is typically a multi-criteria decision making (MCDM) issue, as there is a lot of uncertain information. In order to overcome this issue, The Pythagorean Fuzzy Set is applied to handle the uncertainties involved in comparing the alternatives, criteria and opinions of decision makers. At the same time, a potential of Dimensional Analysis is a technique which deploys an association of the criteria capturing the interrelationship normally present in MCDM. In this sense, the purpose of this paper is to evaluate the suppliers in a supply chain cycle using Pythagorean Fuzzy Set and Dimensional Analysis. Finally, the applicability of the proposed method is illustrated through numerical examples, and a validation via Spearman correlation and Cronbach’s alpha.
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