Order matching mechanism of the production intermediation internet platform between retailers and manufacturers

Taking the real-world Internet platform “Tao Factory” of Alibaba as an example, the order matching mechanism between manufacturers and retailers is studied. This platform first collects multi-variety small batch orders from retailers and modular production resources from manufacturers, and then matches production orders according to the needs of both parties. Considering the characteristics of the matching process, we take the qualifications of all manufacturers matched to the orders and total transportation costs as optimization goals and establish an order matching model. In order to expand the search space algorithm, we introduce the niche strategy, which can remove crowded particles and make the particle swarm evenly distributed. In addition, the local search method is combined to improve the particle swarm algorithm, and the double-object ZDT test function set is used to verify the superiority of the improved multi-objective particle swarm algorithm (IMOPSO). Finally, based on the order matching model and IMOPSO, simulation experiments are conducted to determine the factors that affect the use of manufacturers’ idle capacity and provide some constructive suggestions for small and medium-sized manufacturers (SMEs).