Optimization of flexible manufacturing systems: comparison between stochastic and deterministic timing associated to tasks

  1. Rodríguez, D.R. 1
  2. Ándor, D. 2
  3. Pérez, M. 2
  4. Blanco, J. 2
  1. 1 Fundación LEIA CDT, Spain
  2. 2 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Libro:
22th European Modeling and Simulation Symposium, EMSS 2010

ISBN: 978-1-4244-9313-5

Año de publicación: 2010

Páginas: 235-240

Tipo: Capítulo de Libro

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SCOPUS: 2-s2.0-84871296121 WoS: WOS:000392605000036 GOOGLE SCHOLAR

Resumen

Modeling of Flexible Manufacturing Systems has been one of the main research topics dealt with by researchers in the last years. The modeling paradigm chosen can be in many cases a key decision that can improve or give an added value to the example modeling task. Here, two different modeling manners are presented both based in the Petri Net paradigm, Stochastic and Colored Petri Net models. These two models will be compared in terms of the performance measures that could be interesting for the production systems. The production indicators used here are related with the productivity of the systems. These productivity measures could be included in a later stage into an optimization process by changing a certain number of parameters into the model. A comparison between the performance measures and also other computational effort measures will be depicted to check whether one model is more appropriate or the other.