Research on Mechanism and Coordinated Strategy of Collaborative Logistics Network

2007 ◽  
Author(s):  
Fang-Hua Ning ◽  
Zhi-Hong Wang ◽  
Wu-Jia Yu ◽  
Cong-Yu Cui
Keyword(s):  
Logistics Network ◽  
Collaborative Logistics

Optimal Model of Resource Planning for Collaborative Logistics Network Considering Robust Constraints

2011 ◽  
Vol 403-408 ◽  
pp. 3642-3646
Author(s):  
Xiao Feng Xu ◽  
Jin Lou Zhao ◽  
Jie Kun Song
Keyword(s):  
Resource Planning ◽  
Feasible Region ◽  
Optimal Model ◽  
Plan Implementation ◽  
Uncertainty Factors ◽  
Logistics Network ◽  
Robust Optimal Control ◽  
Collaborative Logistics ◽  
Simulation Results ◽  
Improved Model

Uncertainty factors which influence the resource plan for collaborative logistics network, is the completely uncertain problem that parameter status and probability distribution are unknown, but traditional plan methods can’t ensure the robustness of plan implementation. Based on robust optimal control, the paper carries on simulation about uncertain parameters with Monte Carlo method, and proposes a expected model of robust restraint, the robustness constrains realizes to contract the feasible region and improve robustness of model. Finally, The simulation results illustrate the validity of the improved model.

scholarly journals Resource Allocation Optimization Model of Collaborative Logistics Network Based on Bilevel Programming

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Xiao-feng Xu ◽  
Wei-hong Chang ◽  
Jing Liu
Keyword(s):  
Resource Allocation ◽  
Bilevel Programming ◽  
Programming Model ◽  
Network Resource ◽  
Hybrid Intelligent Algorithm ◽  
Logistics Network ◽  
Network Resource Allocation ◽  
Collaborative Logistics ◽  
Bilevel Programming Model ◽  
Relationship Of

Collaborative logistics network resource allocation can effectively meet the needs of customers. It can realize the overall benefit maximization of the logistics network and ensure that collaborative logistics network runs orderly at the time of creating value. Therefore, this article is based on the relationship of collaborative logistics network supplier, the transit warehouse, and sellers, and we consider the uncertainty of time to establish a bilevel programming model with random constraints and propose a genetic simulated annealing hybrid intelligent algorithm to solve it. Numerical example shows that the method has stronger robustness and convergence; it can achieve collaborative logistics network resource allocation rationalization and optimization.

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