DocumentCode :
3757593
Title :
A Particle Swarm Optimization Approach for Route Planning with Cross-Docking
Author :
Mu-Chen Chen;Yu-Hsiang Hsiao;Himadeep Reddy;Manoj Kumar Tiwari
Author_Institution :
Dept. of Transp. &
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
In cross-docking operations, planners need to coordinate the inbound, docking and outbound logistics operations to ensure a smooth flow of goods across the supply chain. The operation management of cross docking is a crucial task with high complexity for the logistics systems. This paper attempts to address the Vehicle Routing Problems (VRPs) of distribution centers with multiple cross-docks for processing multiple products. In this paper, the mathematical model intends to minimize the total cost of operations subjected to a set of time and capacity constraints. Due to high complexity of model, a variant of Particle Swarm Optimization (PSO) with a Self-Learning approach is tailored to solve the VRP. Two test problems are generated and results are obtained.
Keywords :
"Vehicles","Linear programming","Particle swarm optimization","Materials handling","Planning","Logistics"
Publisher :
ieee
Conference_Titel :
Emerging Trends in Engineering and Technology (ICETET), 2015 7th International Conference on
Electronic_ISBN :
2157-0485
Type :
conf
DOI :
10.1109/ICETET.2015.12
Filename :
7425571
Link To Document :
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