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A hybrid approach based on fuzzy DEA and simulation to measure the efficiency of agility in supply chain: real case of dairy industry
41
Citations
40
References
2011
Year
Supply Chain OptimizationEngineeringAgricultural EconomicsDairy IndustryOperations ResearchProductivityFuzzy Multi-criteria Decision-makingManagementLogisticsSupply ChainSystems EngineeringFuzzy OptimizationLogistics ModelQuantitative ManagementInterval EfficiencyFuzzy LogicTransformation ProcessSupply Chain ManagementSupply ManagementFuzzy DeaBusinessAgile Manufacturing
Abstract In this paper, a hybrid approach has been proposed to measure the relative efficiency of agility in supply chains. First, a conceptual model including capabilities and providers of agility in supply chains has been represented. Then, a supply chain has been associated to a Decision Making Unit (DMU) which consumes providers of agility to produce capabilities of agility. A Fuzzy Data Envelopment Analysis (FDEA) has been proposed for measuring the efficiency of transformation process in which a given supply chain transforms providers of agility into capabilities of agility. In the last step a simulation process has been provided to rank the interval efficiency of proposed FDEA. The proposed hybrid procedure has been applied in case of top-ten Iranian dairy industry supply chains to address its ability as a robust, straightforward, and well-posed tool to measure the efficiency of agility in real cases.
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