Design and Analysis of Closed-Loop Supply Chain Networks


IntroductionProduct Flows in Closed-Loop Supply ChainTypes of Product Returns and RecoveryCommercial ReturnsClosed Loop Supply Chain Design with Commercial ReturnsReferencesDesigning Closed-Loop Supply Chain Networks with Commercial ReturnsIntroductionProblem Description and ConsiderationsThe Mixed Integer Linear Programming Model (Base Model)Analysis of the Illustrative ExampleEffect of Return Parameters on Supply Chain Design and ProfitabilityEffect of Varying Customer Return Rate and Customer Acceptance Rate on Total ProfitVariation in Network Design with Varying Customer Return Rate and Acceptance RateSupplier SelectionA Realistic CaseManagerial ImplicationsSummaryMulti-Objective ExtensionsReferencesCharacteristics of Commercial Return ProductsIntroductionModeling Refurbishing CostCustomer Categories and their Perception Toward Refurbished ProductsModeling Low-End Customer Acceptance RateModeling High-End Customer Acceptance RateSummaryReferencesNetwork Design Incorporating Quality of Returns and Customer Acceptance BehaviorIntroductionThe Mixed Integer Linear Programming Model (Extended Base Model)Illustrative Example – Extended Base ModelComparison between Base Model and Extended Base Model SolutionsSensitivity Analysis – Extended Base ModelVarying Customer Return Rate, Percentage of Low-End and High-End Customers, and Discounts Offered for Refurbishing ProductVarying Refurbished Product Quality in the Market and Discounts Offered for Refurbishing ProductsChanges in optimal discount levels due to changes in return product quality in the marketChanges in optimal network design due to changes in return product quality in the marketManagerial ImplicationsSummaryMulti-Objective ExtensionsReferencesRobust Network Design Incorporating Uncertainties in Demand and Return ParametersUncertainty in Closed-Loop Supply ChainIntroduction to Robust Optimization ModelsProblem Description and the Model FrameworkThe ModelAnalysis of the Illustrative ExampleDesign of the Scenarios for the Illustrative ExampleScenarios Used in the Illustrative ExampleRobust Optimization SolutionAnalysis of the Robust Optimization SolutionAnalysis of the Deterministic Design SolutionComparison of Deterministic and Robust Designs (Scenarios 1 and 2)Advantages of Robust OptimizationScenario with ‘Good’ Demand – Increasing Return Rate and Acceptance RateScenario with Medium Return Rate and Acceptance Rate – Increasing the DemandOptimal Discount for the Robust ModelComparison between the Deterministic and Robust Designs (Optimal Discount)SummaryReferences
 
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