Information sharing effects on logistics centers location problem

Sharing market information has been recognized as an effective approach to reduce demand distortion and improve supply chain performance. This paper proposes a bilevel model to solve the location problem by considering information sharing effects. The upper level is to determine the optimal location of logistics centers, and the lower is to obtain the demand assignments among different centers with a fixed-point problem. The Chaotic Optimization Algorithm (COA) is used to solve the model. And a simple example is given to illustrate the method.