Maozeng Xu

TL;DR: In this article, a multi-phase hybrid approach with clustering, dynamic programming, and heuristic algorithm is presented to solve the model formulation, and optimal sequential coalitions are selected based on strictly monotonic path, cost reduction model, and best strategy of sequential coalition selection in cooperative game theory.

TL;DR: A three-step customer clustering based approach to solve two-echelon location routing problems with time windows and results support the formation of clusters containing highly similar customers improves service reliability, and favors a productive customer relationship management.

TL;DR: The proposed cooperation and profit allocation approaches provide an effective paradigm for logistics companies to share benefit, achieve winwin situations through the horizontal cooperation, and improve the negotiation power for logistics network optimization.

TL;DR: An empirical case study of a logistics network in Chongqing suggests that the proposed collaboration mechanism with SST network representation can reduce costs, improve transportation efficiency, and contribute to efficient and sustainable logistics network operations.

TL;DR: A model to minimize the total cost of the two-echelon logistics distribution network is established and the EPSO-GA algorithm is superior to the other three algorithms, Hybrid Particle Swarm Optimization, GA, and Ant Colony Optimization in terms of the partitioning schemes, total cost and number of iterations.