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 |