Abstract：Considering that the existing supply chain resource integration methods are not applicable to the integration of terminal distribution resources under the dynamic evolving community group purchase scenario, a multi-stage dynamic multi-objective optimization model for resource integration of terminal supply chain is constructed. According to the analyzing of the service demand characteristics of end consumers in the community group purchase scenario, the dynamic measurement and prediction mechanism of consumer satisfaction is depicted，and it is introduced to the optimization goals. Genetic algorithm is applied to solve the problem, the feasibility, effectiveness and operability of the decision model are verified by an example. This study demonstrates that the dynamic multi-stage satisfaction measurement is suitable for the optimization of terminal distribution resources integration under the community group purchase scenario, and the algorithm is robust in the solving the dynamic multi-objective optimization problem of the terminal distribution resources integration.
刘畅，姚建明. 社区团购场景下供应链末端配送资源整合优化研究[J]. 管理学报, 2022, 19(8): 1231-.
LIU Chang，YAO Jianming. Optimization of Supply Chain Terminal Resources Integration under the Community Group Purchase Scenario. Chinese Journal of Management, 2022, 19(8): 1231-.
