Multiobjective decisions for provider selection and order allocation considering the position of the CODP in a logistics service supply chain

This paper formulates a nonlinear mixed-integer multiobjective optimization model for service provider selection and order allocation in different procedures under the mass-customization logistics service mode. The optimal provider selection strategy, order allocation strategy and optimal CODP location are determined simultaneously by a quantitative method. We transform the multiobjective programming model into a single-objective model by means of different methods and design an improved genetic algorithm based on multilayer coding technology to solve the model. Numerical experiments show that the algorithm designed in this paper can effectively solve the model.