Relocatable modular capacities in risk aware strategic supply network planning under demand uncertainty

Abstract We propose a new model formulation for a three-echelon supply network design problem incorporating the concept of relocatable modular capacities. A robust supply network configuration must be determined based on uncertain demand. Furthermore, by incorporating the conditional value at risk (...

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Main Authors: Ariane Kayser, Florian Sahling
Format: Article
Language:English
Published: Springer 2022-11-01
Series:Schmalenbach Journal of Business Research
Subjects:
Online Access:https://doi.org/10.1007/s41471-022-00141-z
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author Ariane Kayser
Florian Sahling
author_facet Ariane Kayser
Florian Sahling
author_sort Ariane Kayser
collection DOAJ
description Abstract We propose a new model formulation for a three-echelon supply network design problem incorporating the concept of relocatable modular capacities. A robust supply network configuration must be determined based on uncertain demand. Furthermore, by incorporating the conditional value at risk (CVaR), the risk induced by uncertain demand is explicitly considered. The derived supply network configuration should maximize the weighted sum of the expected net present value and the CVaR. The resulting nonlinear model formulation is approximated by a piecewise linearization. Our numerical investigation shows that the derived supply network configuration is robust and stable in the presence of uncertain demand.
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spelling doaj.art-949ac1d0280d4a099d5ec02fc21249712023-04-23T11:24:16ZengSpringerSchmalenbach Journal of Business Research2366-61532022-11-0175113510.1007/s41471-022-00141-zRelocatable modular capacities in risk aware strategic supply network planning under demand uncertaintyAriane Kayser0Florian Sahling1Department of Production Management, Leibniz Universität HannoverChair of Production Management, University of KaiserslauternAbstract We propose a new model formulation for a three-echelon supply network design problem incorporating the concept of relocatable modular capacities. A robust supply network configuration must be determined based on uncertain demand. Furthermore, by incorporating the conditional value at risk (CVaR), the risk induced by uncertain demand is explicitly considered. The derived supply network configuration should maximize the weighted sum of the expected net present value and the CVaR. The resulting nonlinear model formulation is approximated by a piecewise linearization. Our numerical investigation shows that the derived supply network configuration is robust and stable in the presence of uncertain demand.https://doi.org/10.1007/s41471-022-00141-zSupply network reconfigurationModular capacitiesStochastic demandConditional value at risk
spellingShingle Ariane Kayser
Florian Sahling
Relocatable modular capacities in risk aware strategic supply network planning under demand uncertainty
Schmalenbach Journal of Business Research
Supply network reconfiguration
Modular capacities
Stochastic demand
Conditional value at risk
title Relocatable modular capacities in risk aware strategic supply network planning under demand uncertainty
title_full Relocatable modular capacities in risk aware strategic supply network planning under demand uncertainty
title_fullStr Relocatable modular capacities in risk aware strategic supply network planning under demand uncertainty
title_full_unstemmed Relocatable modular capacities in risk aware strategic supply network planning under demand uncertainty
title_short Relocatable modular capacities in risk aware strategic supply network planning under demand uncertainty
title_sort relocatable modular capacities in risk aware strategic supply network planning under demand uncertainty
topic Supply network reconfiguration
Modular capacities
Stochastic demand
Conditional value at risk
url https://doi.org/10.1007/s41471-022-00141-z
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AT floriansahling relocatablemodularcapacitiesinriskawarestrategicsupplynetworkplanningunderdemanduncertainty