A choice-based optimization approach for contracting in supply chains

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Erscheinungsjahr:
2023
Medientyp:
Text
Beschreibung:
  • We consider a supplier-buyer supply chain. The buyer holds private forecast information (high/low), and the supplier offers a menu of capacity reservation contracts to align incentives. We analyze how the menu of contracts should be adapted when lifting the assumptions that buyers act rationally and/or that buyers’ utility is deterministic. We employ a novel choice-based optimization approach that integrates a multinomial logit model (capturing the buyer's contract choice behavior) with a mixed-integer nonlinear program. The choice-based optimization model can be solved with off-the-shelf solvers and is therefore ready to use by management. We further derive qualitative insights on how to adapt existing contracts in a numerical study. We show that cutting off low-demand buyers, reducing reservation fees in a specific manner and introducing more contract options may increase suppliers’ and supply chains’ performance.
  • We consider a supplier-buyer supply chain. The buyer holds private forecast information (high/low), and the supplier offers a menu of capacity reservation contracts to align incentives. We analyze how the menu of contracts should be adapted when lifting the assumptions that buyers act rationally and/or that buyers’ utility is deterministic. We employ a novel choice-based optimization approach that integrates a multinomial logit model (capturing the buyer's contract choice behavior) with a mixed-integer nonlinear program. The choice-based optimization model can be solved with off-the-shelf solvers and is therefore ready to use by management. We further derive qualitative insights on how to adapt existing contracts in a numerical study. We show that cutting off low-demand buyers, reducing reservation fees in a specific manner and introducing more contract options may increase suppliers’ and supply chains’ performance.
Lizenz:
  • info:eu-repo/semantics/closedAccess
Quellsystem:
Forschungsinformationssystem der UHH

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oai:www.edit.fis.uni-hamburg.de:publications/de6959a2-1cf1-4ad3-be98-df421f40ce40