Multi-objective ACO for integrated scheduling of machinesand material handling equipment in flexible manufacturingsystems

Authors:
Tan Wei Yung;S. G. Ponnambalam;M. Yogeswaran
Affiliations:
Monash University, Bandar Sunway, Malaysia;Monash University, Bandar Sunway, Malaysia;Monash University, Bandar Sunway, Malaysia
Venue:
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Year:
2009

Citing 2
Cited 0

Ant Colony Optimization

Ant Colony Optimization
Evaluation of meta-heuristic approaches for scheduling optimisation of flexible manufacturing systems

International Journal of Computer Applications in Technology

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Abstract

A multi-objective integrated scheduling of machines and material handling equipment in an automated manufacturing system is addressed in this paper. The FMS environment is modeled with the incorporation of six multioperational machines and two automated guided vehicles (AGVs). An ant colony optimization (ACO) is proposed to optimize a multi-objective function that maximize machine utilization, maximize profit made, minimize AGV traveling time, and minimize AGV energy utilization concurrently. The performance of the proposed ACO algorithm is compared with conventional priority dispatching rules (pdrs) and it is found that proposed ACO performs better over the pdrs considered.