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- W4293072852 abstract "• Choice-based optimization MINLP model for contracting in supply chains (SC). • Relaxes critical assumption of deterministic utilities and rational actors. • Quantitative decision support and qualitative insights for contract design. • Introducing more contract options can improve suppliers performance. • Moderate expansion sufficient for significant improvement. 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." @default.
- W4293072852 created "2022-08-26" @default.
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- W4293072852 date "2023-02-01" @default.
- W4293072852 modified "2023-10-06" @default.
- W4293072852 title "A choice-based optimization approach for contracting in supply chains" @default.
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- W4293072852 doi "https://doi.org/10.1016/j.ejor.2022.05.052" @default.
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