Paper Info
Title
Cooperation and profit allocation in two-echelon logistics joint distribution network optimization.
Abstract
A two-echelon logistics joint distribution network optimization model is developed.This model is to minimize the total cost of TELJDN.A hybrid algorithm combining ACO and GA operations is proposed.A cooperative mechanism strategy for sequential coalitions is studied in TELJDN.An empirical study demonstrates the applicability of the proposed approach. Collaborative two-echelon logistics joint distribution network can be organized through a negotiation process via logistics service providers or participants existing in the logistics system, which can effectively reduce the crisscross transportation phenomenon and improve the efficiency of the urban freight transportation system. This study establishes a linear optimization model to minimize the total cost of two-echelon logistics joint distribution network. An improved ant colony optimization algorithm integrated with genetic algorithm is presented to serve customer clustering units and resolve the model formulation by assigning logistics facilities. A two-dimensional colony encoding method is adopted to generate the initial ant colonies. Improved ant colony optimization combines the merits of ant colony optimization algorithm and genetic algorithm with both global and local search capabilities. Finally, an improved Shapley value model based on cooperative game theory and a cooperative mechanism strategy are presented to obtain the optimal profit allocation scheme and sequential coalitions respectively in two-echelon logistics joint distribution network. An empirical study in Guiyang City, China, reveals that the improved ant colony optimization algorithm is superior to the other three methods in terms of the total cost. The improved Shapley value model and monotonic path selection strategy are applied to calculate the best sequential coalition selection strategy. 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.
Year
DOI
Venue
2017
10.1016/j.asoc.2017.02.025
Appl. Soft Comput.
Keywords
Field
DocType
Two-echelon logistics joint distribution network,Profit allocation,Improved ant colony optimization,Shapley value model,Monotonic path selection strategy
Ant colony optimization algorithms,Mathematical optimization,Hybrid algorithm,Shapley value,Operations research,Cooperative game theory,Linear programming,Local search (optimization),Ant colony,Genetic algorithm,Mathematics
Journal
Volume
Issue
ISSN
56
C
1568-4946
Citations 
PageRank 
References 
7
0.44
25
Authors
7
Name
Order
Citations
PageRank
Yinhai Wang129239.37
Yinhai Wang229239.37
Xiaolei Ma320315.59
Mingwu Liu470.44
Ke Gong5745.10
Yong Liu6323.77
Maozeng Xu7365.92