A Particle Swarm Optimization Approach for Route Planning with Cross-Docking

Mu Chen Chen, Yu Hsiang Hsiao, Himadeep Reddy, Manoj Kumar Tiwari

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

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.

原文English
主出版物標題Proceedings - 2015 7th International Conference on Emerging Trends in Engineering and Technology, ICETET 2015
發行者IEEE Computer Society
頁面1-6
頁數6
ISBN(電子)9781467383059
DOIs
出版狀態Published - 3 三月 2016
事件7th International Conference on Emerging Trends in Engineering and Technology, ICETET 2015 - Kobe, Japan
持續時間: 18 十一月 201520 十一月 2015

出版系列

名字International Conference on Emerging Trends in Engineering and Technology, ICETET
2016-March
ISSN(列印)2157-0477
ISSN(電子)2157-0485

Conference

Conference7th International Conference on Emerging Trends in Engineering and Technology, ICETET 2015
國家Japan
城市Kobe
期間18/11/1520/11/15

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