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Testing

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Abstract

This chapter aims at presenting the experimental analyses carried out to evaluate the benefits coming from applying the manufacturing system design framework presented in the previous chapters. To this purpose three families of products belonging to different production contexts have been studied. These products have been used as input data of the testing experiments which were aimed at studying the performance of an FFMS when facing production problems characterized by technological and demand evolution. The testing experiments have been carried out by exploiting the software tools that have been developed by implementing the methodologies presented in the previous chapters.

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References

  • Ahmed S, King A, Parija G (2003) A multi-stage stochastic integer programming approach for capacity expansion under uncertainty. J Global Optimiz 26:3–24

    Article  MATH  MathSciNet  Google Scholar 

  • Anglani A, Grieco A, Pacella M, Tolio T (2002) Object-oriented modeling and simulation of flexible manufacturing systems: a rule-based procedure. Simul Model Prac Theory 10(3):209–234

    Google Scholar 

  • Birge JR, Louveaux FV (1997) Introduction to stochastic programming. Springer, London

    MATH  Google Scholar 

  • Cantamessa M, Fichera S, Grieco A, Perrone G, Tolio T (2007) Methodologies and tools to design production systems with focused flexibility. Proceedings of the 4th International Conference on Digital Enterprise Technology, Bath, UK, 19–21 September, pp 627–636

    Google Scholar 

  • Colledani M, Tolio T (2005) A decomposition method to support the configuration / reconfiguration of production systems. Ann CIRP 54(1):441–444

    Article  Google Scholar 

  • Contini P, Tolio T (2004) Computer aided setup planning for machining centers configuration. Int J Prod Res, 42(17):3473–3491

    Google Scholar 

  • Levantesi R, Matta A, Tolio T (2003) Performance evaluation of continuous production lines with deterministic processing times, multiple failure modes and finite buffer capacity. Performance Evaluation J 51:247–268

    Article  Google Scholar 

  • Terkaj W, Tolio T (2006) A Stochastic approach to the FMS loading problem. CIRP J Manuf Syst 35:481–490

    Google Scholar 

  • Tolio T, Urgo M (2007) A rolling horizon approach to plan outsourcing in manufacturing-to-order environments affected by uncertainty. Ann CIRP 56(1):487–490

    Article  Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Bruccoleri, M., Capello, C., Costa, A., Nucci, F., Terkaj, W., Valente, A. (2009). Testing. In: Tolio, T. (eds) Design of Flexible Production Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85414-2_10

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  • DOI: https://doi.org/10.1007/978-3-540-85414-2_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85413-5

  • Online ISBN: 978-3-540-85414-2

  • eBook Packages: EngineeringEngineering (R0)

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