Model study on stochastic flow logistics network considering neighbourhood information of nodes
Dong-min Xu, You-fang Huang, Bin Yang
Logistics Research Center, Shanghai Maritime University, 201306, China
The significance and stochasticity of node have an effect on logistics network activity. This paper describes the importance of node by integrating the node neighbourhood information, which relates to the neighbourhood arc energy consumption and node degree which shows the node connectivity in logistics network, and during which this paper introduces the parameter to represent the preference degree of energy consumption. This paper develops a multi-objective model seeking to energy consumption minimization and reliability maximization in the light of node stochasticity and the influence of node importance. The MPs (Minimal Path Set) is employed during the process of modelling. Genetic algorithm is applied to solve this model and a numerical experiment is presented to demonstrate the effect of significance and stochasticity of node to logistics path choice and flow assignment.