Affiliation:
1. Cracow University of Technology
Abstract
This paper presents an example of optimization of an automated manufacturing system comprising a transport subsystem based on the automated guided vehicles (AGV). Number of resources in the manufacturing system and the number and location of the AGVs were subject of optimization. Profit maximization was assumed as an objective function. Arena and OptQuest software were used to build the simulation model and perform the optimization. The article describes an original solution for optimizing the number and cost of AGVs.
Publisher
Trans Tech Publications, Ltd.
Reference10 articles.
1. A. F. Kahraman, A. Gosavi, K. J. Oty: Stochastic Modeling of an Automated Guided Vehicle System With One Vehicle and a Closed-Loop Path. IEEE Transactions on Automation Science and Engineering, Vol. 5, No. 3, July (2008).
2. K. -C. Ko, P. J. Egbelu: Unidirectional AGV guidepath network design: a heuristic algorithm. International Journal of Production Research, Vol. 41, No. 10, (2003), pp.2325-2343.
3. T. Le-Anh, M.B.M. De Koster: A review of design and control of automated guided vehicle systems. European Journal of Operational Research, Vol. 171, (2006), p.1–23.
4. T. Le-Anh, M.B.M. De Koster: Multi-Attribute Dispatching Rules For AGV Systems With Many Vehicles, http: /repub. eur. nl/res/pub/1809/ERS 2004 077 LIS. pdf.
5. A. Osyczka, S. Krenich: Evolutionary Algorithms for Global Optimization, Chapter in J. Pinter (Ed. ) Global Optimization – Scientific and Engineering Case Studies. Springer, 2006, pp.267-300.
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2 articles.
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