International Journal of Production Research · 2018 · 380 citations · 116 references
EngineeringIndustrial EngineeringDisruption RisksHybrid MethodologySupply NetworkSupply Chain RiskFuzzy C-meansSustainable Supply Chain ManagementSustainable DesignSupply Chain ResilienceOperations ResearchSupply Chain DisruptionRisk ManagementManagementLogisticsSupply ChainSystems EngineeringSustainable SourcingSustainability AnalysisQuantitative ManagementPlastic Pipe IndustrySupply Chain DesignSupply Chain ManagementBusinessSustainabilitySustainable Supply ChainsSupply Chain Analysis
Resilience to disruptions and sustainability are both of paramount importance to supply chains. However, the interactions between the two have not been thoroughly explored in the academic literature. We attempt to contribute to this area by presenting a hybrid methodology for the design of a sustainable supply network that performs resiliently in the face of random disruptions. A stochastic bi-objective optimisation model is developed that utilises a fuzzy c-means clustering method to quantify and assess the sustainability performance of the suppliers. The proposed model determines outsourcing decisions and resilience strategies that minimise the expected total cost and maximise the overall sustainability performance in disruptions. Important managerial insights and practical implications are obtained from the model implementation in a case study of plastic pipe industry.
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FCM: The fuzzy c-means clustering algorithm
James C. Bezdek, Robert Ehrlich, William E. Full · Computers & Geosciences · 1984 · 6.4K citations