关键词: 协同配送, 联盟组建, 伙伴识别, 数据驱动, 配送属性数据, 联盟组织优化

Abstract: To solve the problem of rapid identification of potential stable cooperative distribution alliances,a method of identifying alliance opportunities and potential partners based on analysis of distribution attribute data was proposed,and the possible driving method of the collaborative distribution alliance was analyzed.The economic distribution proportion model,the common social relationship strength model,the complementary strength model of the departure time and the complementary vehicle resource model were established to measure the synergy effect of the distribution center.Based on this as the optimization goal,the distribution attribute data-driven collaborative distribution potential alliance identification optimization model was built,and the maximum and minimum clustering method based on space-time distance was proposed to divide the distribution domain.The model was solved by combining with data preprocessing and genetic algorithm,and the rapid optimization and identification were realized through the distribution business data potential stable cooperative distribution alliance.The example showed that the proposed method avoided subjective evaluation and sorting,and could effectively identify multiple cooperative distribution alliances directly according to the distribution attribute data.It had laid a solid foundation for the stable operation and longer life cycle of the collaborative distribution alliance.

Key words: collaborative distribution, alliance formation, partner identification, data driven, distribution data, alliance organization optimization