非对称信息下基于委托代理模型的供应链协调

针对供应链中分销商与制造商之间关于如何降低成本的信息不对称,运用委托代理模型研究供应链中分销商的成本控制问题。根据改进的联合确定基数法,建立了制造商与分销商的目标函数,确定了制造商的最优自报成本,并建立了非对称信息下分销商期望效用最大化模型。最后,运用进化规划算法作了仿真实验。

Coordinating a Supply Chain under Asymmetric Information on a Basis of Principal-Agent Model

To a supply chain of one-distributor and one-producer with asymmetric information on how to reduce the costs between the two members,the paper analyzes the problem that how the distributor controls products costs on a basis of principal-agent model.Based on the improved combined base method,some objective functions in terms of producer and the distributor are given to determine optimal costs.And a model to maximize distributor's expected utility is given under asymmetric information.At last,a simulation is conducted by way of the evolutionary programming algorithm.