@inproceedings{8f38e74980414f32a6a35f1a02a45141,
title = "A Particle Swarm Optimization Approach for Route Planning with Cross-Docking",
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 = "Cross-Docks, E-Logistics, Particle Swarm Optimization, Supply Chain Management, Vehicle Routing Problem",
author = "Chen, {Mu Chen} and Hsiao, {Yu Hsiang} and Himadeep Reddy and Tiwari, {Manoj Kumar}",
year = "2016",
month = mar,
day = "3",
doi = "10.1109/ICETET.2015.12",
language = "English",
series = "International Conference on Emerging Trends in Engineering and Technology, ICETET",
publisher = "IEEE Computer Society",
pages = "1--6",
booktitle = "Proceedings - 2015 7th International Conference on Emerging Trends in Engineering and Technology, ICETET 2015",
address = "United States",
note = "7th International Conference on Emerging Trends in Engineering and Technology, ICETET 2015 ; Conference date: 18-11-2015 Through 20-11-2015",
}