Chen, Mu-Chen ; Hsiao, Yu-Hsiang ; Reddy, Himadeep ; Tiwari, Manoj Kumar (2015) A Particle Swarm Optimization Approach for Route Planning with Cross-Docking In: 2015 7th International Conference on Emerging Trends in Engineering & Technology (ICETET), 18-20 November 2015, Kobe, Japan.
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Official URL: https://doi.org/10.1109/ICETET.2015.12
Related URL: http://dx.doi.org/10.1109/ICETET.2015.12
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Source: | Copyright of this article belongs to IEEE. |
| Keywords: | Vehicles; Linear programming; Particle swarm optimization; Materials handling; Planning; Logistics. |
| ID Code: | 139896 |
| Deposited On: | 30 Aug 2025 15:25 |
| Last Modified: | 30 Aug 2025 15:25 |
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