Research On The Joint Optimization Of CODP Positioning,Supplier Selection And Order Allocation Under The Mode Of Mass Customization Logistics Service

In order to concentrate resources and develop their own core competitiveness,production-oriented enterprises outsource more and more logistics service tasks to professional third-party and fourth party logistics service companies.Faced with the rapid growth of market scale and increasingly fierce industry competition,how to meet the increasingly rich service needs of customers under certain cost constraints has become the key to enhance competitiveness.Based on this,more and more logistics companies try to apply the idea of “Mass Customization(MC)” in the manufacturing industry to the logistics service industry,in order to use the effect of scale to reduce the cost of logistics services,and at the same time provide more diversified and personalized logistics services for customers.Based on this background,this paper studies the following problems in the process of mass customization logistics service.First,based on the characteristics of mass customization logistics service model,a logistics service quality evaluation method based on two-stage fuzzy QFD is proposed.In view of the characteristics of mass customization service mode and the subjectivity and fuzziness in the process of logistics service evaluation,this paper proposes a logistics service performance evaluation method based on Two-stage Fuzzy QFD under mass customization logistics service mode.Based on the house of quality(HOQ),this paper calculates the scores of each evaluation index when the service integrator sets different customer order decoupling points,and then constructs a logistics service quality evaluation function and "quality service" fuzzy set,which can directly determine the logistics service quality when the decoupling points are located in different positions.Secondly,aiming at the problems of subjectivity and fuzziness in the process of determining customer order decoupling point(CODP)under the mode of mass customization logistics service,a CODP positioning method based on fuzzy programming model is proposed.In this model,the goal is to maximize the profit of logistics service integrators,the fuzzy constraints are "high quality logistics service" and "satisfactory delivery time",the qualitative and quantitative indexes in the process of CODP positioning are considered,which provides a new idea for the research of CODP positioning of logistics service supply chain.Thirdly,aiming at the problem of logistics service provider selection and logistics order allocation in the process of mass customization logistics service,this paper constructs a joint optimization decision-making model to determine the provider selection scheme and order allocation scheme at the same time.The joint decision model is a typical multi-objective mixed integer nonlinear programming model,so this paper proposes an improved genetic algorithm based on two-layer coding technology to solve the model.In this model,we consider the satisfaction of customer enterprises,logistics service integrators and many functional logistics service providers at the same time,and strive to make the proposed joint decision-making scheme of service provider selection and order allocation to maximize the satisfaction of the main members of the logistics service supply chain.Fourth,this paper establishes a nonlinear mixed integer multi-objective optimization model for the selection and order allocation of different subprogram service providers under the mode of mass customization logistics service.The quantitative method is used to determine the optimal supplier selection strategy,order allocation strategy and optimal CODP location.Different methods are used to transform multi-objective programming model into single objective programming model,and an improved genetic algorithm based on multi-layer coding technology is designed to solve the model.The effectiveness of the algorithm is verified by numerical examples,and some important management implications are obtained by sensitivity analysis.To sum up,this paper extends the application field of mass customization mode to logistics service industry,and specifically studies the service quality evaluation,CODP positioning,service provider selection and order allocation joint optimization under mass customization logistics service mode,and establishes corresponding mathematical models and designs the solution algorithm.The research of this paper enriches the theoretical research results of implementing mass customization mode in service industry,and provides new ideas and decision-making basis for logistics enterprises.