The Optimal Incentive Contract for a Closed-Loop Supply Chain Based on Principal-Agent
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.
closed-loop supply chain multi-task principalagent incentive contract overall efficiency
Wenqian LU
Institute of Construction Project Management Hohai University Nanjing, P.R.China
国际会议
成都
英文
16-19
2010-07-09(万方平台首次上网日期,不代表论文的发表时间)