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The Optimal Incentive Contract for a Closed-Loop Supply Chain Based on Principal-Agent

机译:基于委托-代理的闭环供应链最优激励契约

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It is significant to coordinate interest distribution and improve the overall efficiency of closed-loop supply chain system. In this paper, we explore a two-level CLSCS comprised of a manufacturer and a retailer. Considering substitutability and uncertainty in closed-loop supply chain under information asymmetry condition, we propose a multi-task principal-agent model to maximize expected income of manufacturer and certainty equivalence income of retailer. Analysis results show the manufacturer will design incentive coefficients and the retailer will adjust effort levels according to risk-averse degree, external uncertainty and correlation coefficient of the marginal effort cost.
机译:协调利益分配和提高闭环供应链系统的整体效率具有重要意义。在本文中,我们探索了由制造商和零售商组成的两级CLSCS。考虑信息不对称条件下闭环供应链的可替代性和不确定性,我们提出了一种多任务委托-代理模型,以最大化制造商的预期收入和零售商的确定性当量收入。分析结果表明,制造商将设计激励系数,而零售商将根据风险规避程度,外部不确定性和边际工作成本的相关系数来调整工作水平。

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