標題: A Particle Swarm Optimization Approach for Route Planning with Cross-Docking
作者: Chen, Mu-Chen
Hsiao, Yu-Hsiang
Reddy, Himadeep
Tiwari, Manoj Kumar
運輸與物流管理系 註:原交通所+運管所
Department of Transportation and Logistics Management
關鍵字: E-Logistics;Supply Chain Management;Cross-Dock;Vehicle Routing Problem;Particle Swarm Optimization
公開日期: 2015
摘要: 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.
URI: http://dx.doi.org/10.1109/ICETET.2015.12
http://hdl.handle.net/11536/136330
ISBN: 978-1-4673-8305-9
DOI: 10.1109/ICETET.2015.12
期刊: 2015 7TH INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING & TECHNOLOGY (ICETET)
起始頁: 1
結束頁: 6
顯示於類別:會議論文