Abstract
This paper discusses design of flexible manufacturing systems (FMSs) in one or multiple rows. Evolutionary computation, particularly genetic algorithms (GAs) proved to be successful in search of optimal solution for this type of problems. The model of solution, the most suitable way of coding the solutions into the organisms and the selected evolutionary and genetic operators are presented. In this connection, the most favourable number of rows and the sequence of devices in the individual row are established by means of genetic algorithms (GAs). In the end the test results of the application made and the analysis are discussed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Balic, J.: Flexible manufacturing systems, DAAAM International, Vienna (2001)
Hamiani, A., Popescu, G.: A knowledge-based expert system for site layout, Computing in Civil Engineering: Microcomputers to Supercomputers, pp. 248–256. ASCE, New York (1988)
Kusiak, A.: Intelligent Manufacturing Systems. Prentice-Hall, New Jersey (1990)
Tompkins, J.A., White, J.A., Bozer, Y.A., Frazelle, E.H., Tanchoco, J.M., Trevino, J.: Facilities Planning. John Wiley & Sons, New York (1996)
Chiang, W.C., Kouvelis, P.: Improved Tabu search heuristics for heuristics for solving facility layout problems. International Journal of Production Research 34(9), 2565–2585 (1996)
Heragu, S., Kusiak, A.: Machine layout problem in flexible manufacturing systems. Operations Research 36, 258–268 (1988)
Li, H., Love, E.D.: Genetic search for solving construction site-level unequal-area facility layout problems. Automation in Construction 9, 217–226 (2000)
Tsourveloudis, N., Ioannidis, S., Valavanis, K.: Fuzzy surplus based distributed control of manufacturing system. Advances in Production Engineering & Management 1(1), 5–12 (2006)
Curkovic, P., Jerebic, B.: Honey-bees optimization algorithm applied to path planning problem. International journal of simulation modelling 6(3), 154–164 (2007)
Viraj, T., Ajai, J.: Assessing the effectiveness of flexible process plans for loading and part type selection in FMS. Advances in Production Engineering & Management 3(1), 27–44 (2008)
Heng, L., Love, E.D.: Genetic search for solving construction site-level unequal-area facility layout problems. Automation in Construction 9, 217–226 (2000)
Gen, M., Cheng, R.: Genetic Algorithms And Engineering Design. J. Wiley & Sons, New York (1997)
Goldberg, D.E., Lingle, R.: Alleles, loci and the traveling salesman problem. In: Proc. 1st Conference on Genetic Algorithms, pp. 154–159 (1985)
Tavakkoli-Moghaddain, R., Shayan, E.: Facilities layout design by genetic algorithms. Computers industrial Engineering 35(3-4), 527–530 (1998)
Osman, H.M., Georgy, M.E., Ibrahim, M.E.: A hybrid CAD-based construction site layout planning system using genetic algorithms. Automation in construction 12, 749–764 (2003)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ficko, M., Balic, J. (2008). Design of Row-Based Flexible Manufacturing System with Evolutionary Computation. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85565-1_1
Download citation
DOI: https://doi.org/10.1007/978-3-540-85565-1_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85564-4
Online ISBN: 978-3-540-85565-1
eBook Packages: Computer ScienceComputer Science (R0)