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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 130))

Abstract

Reconfigurable Manufacturing System (RMS) is the state of art technology offering the functionality and capacity that is needed, when it is needed. The Reconfigurable Machine Tools (RMT) the sole of RMS, can perform variety of operations and can further be reconfigured to change its operational capabilities. In such environment a part can be processed by many feasible configurations of the RMS. In the present work a methodology is proposed for multiple objective optimization of RMS configuration based on convertibility, machine utilization and cost by applying nondominated sorting genetic algorithm II.

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References

  1. Koren, Y., Hiesel, U., Jovane, F., Moriwaki, T., Pritschow, G., Ulsoy, G., Van, B.H.: Reconfigurable manufacturing systems. Annals of the CIRP 48(2), 527–540 (1999)

    Article  Google Scholar 

  2. Mehrabi, M.G., Ulsoy, A.G., Koren, Y.: Reconfigurable manufacturing systems: Key to future manufacturing. Journal of Intelligent Manufacturing 11(4), 403–419 (2000)

    Article  Google Scholar 

  3. Urbani, A., Molinari-Tosatti, L., Pedrazzoli, P., Fassi, I., Boer, C.R.: Flexibility and reconfigurability: An analytical approach and some examples. In: CIRP 1st International Conference on Reconfigurable Manufacturing Systems, Ann Arbor, MI (2001)

    Google Scholar 

  4. Pattanaik, L.N., Jain, P.K., Mehta, N.K.: Cell formation in the presence of reconfigurable machines. International Journal of Advanced Manufacturing Technology 34, 335–345 (2007)

    Article  Google Scholar 

  5. Maier-Speredelozzi, V., Koren, Y., Hu, S.J.: Convertibility measures for manufacturing systems. Annals of the CIRP 52, 367–370 (2003)

    Article  Google Scholar 

  6. Gumasta, K., Gupta, S.K., Benyoucef, L., Tiwari, M.K.: Developing a reconfigurability index using multi-attribute utility theory. International Journal of Production Research 49(6), 1669–1683 (2011)

    Article  Google Scholar 

  7. Son, S.Y., Olsen, T.L., Derek, Y.: An approach to scalability and line balancing for RMS. Integrated Manufacturing Systems 12(7), 500–511 (2001)

    Article  Google Scholar 

  8. Youssef, A.M.A., ElMaraghy, H.A.: Optimal configuration selection for Reconfigurable Manufacturing Systems. International Journal of Flexible Manufacturing Systems 19, 67–106 (2007)

    Article  MATH  Google Scholar 

  9. Spicer, P., Carlo, H.J.: Integrating reconfiguration cost into the design of multi-period scalable reconfigurable manufacturing systems. Transactions of the ASME 129, 202–210 (2007)

    Google Scholar 

  10. Goyal, K.K., Jain, P.K., Jain, M.: Optimal configuration selection in reconfigurable manufacturing system using NSGA II and TOPSIS. International Journal of Production Research (i first) (2011)

    Google Scholar 

  11. Koren, Y., Katz, R.: Reconfigurable Apparatus for Inspection during a Manufacturing Process. US patent # 6,567,162 (2003) (Issue date: May 20, 2003)

    Google Scholar 

  12. Deb, K., Samir, A., Amrit, P., Meyarivan, T.: A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2), 103–112 (2002)

    Article  Google Scholar 

  13. Wright, A.H.: Genetic algorithms for real parameter optimization. In: Rawlins, G.J.E. (ed.) Foundations of Genetic Algorithms I, pp. 205–218. Morgan Kaufmann, San Mateo (1991)

    Google Scholar 

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Correspondence to Kapil Kumar Goyal .

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© 2012 Springer India Pvt. Ltd.

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Goyal, K.K., Jain, P.K., Jain, M. (2012). Multiple Objective Optimization of Reconfigurable Manufacturing System. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 130. Springer, India. https://doi.org/10.1007/978-81-322-0487-9_44

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  • DOI: https://doi.org/10.1007/978-81-322-0487-9_44

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  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-0486-2

  • Online ISBN: 978-81-322-0487-9

  • eBook Packages: EngineeringEngineering (R0)

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