Multi-facilities Location and Allocation Problem of Three-Echelon Supply Chain Based on an Improved Genetic Algorithm

A new mathematics model on multi-facilities location and allocation problem(MLAP) of three-echelon supply chain was built, which mainly took some logistics cost such as inventory cost, carrying cost, transportation cost into consideration. Then, an improved Genetic Algorithm was proposed to solve the MLAP. In this algorithm, the real encoding method was used to encode the solution directly, and meanwhile the crossover and mutation operator were improved. Finally, a numerical experiment showed clearly the feasibility of the IGA method and the effectiveness of the model.