• DocumentCode
    632466
  • Title

    Equivalent machine method for approximate evaluation of buffered unreliable production lines

  • Author

    Ouazene, Yassine ; Chehade, Hicham ; Yalaoui, Alice ; Yalaoui, Farouk

  • Author_Institution
    Lab. d´Optimisation des Syst. Ind., Univ. de Technol. de Troyes, Troyes, France
  • fYear
    2013
  • fDate
    16-19 April 2013
  • Firstpage
    33
  • Lastpage
    39
  • Abstract
    The addressed paper deals with a new analytical formulation called Equivalent Machine Method to evaluate the system throughput of a buffered serial production line. The machines are unreliable and both failure and repair times are assumed to be exponentially distributed. The proposed method is based on the analysis of the different states of each buffer using birth-death Markov processes. Then, each original machine is replaced by an equivalent one taking into account the probabilities of blockage and starvation. The throughput of the production line is defined as the bottleneck between the effective production rates of the equivalent machines. This method considers both homogeneous and non-homogeneous lines and reduces sensibly the state space cardinality of the Markov chain representation of the system and consequently the computational times. A comparative study based on different test instances existing in the literature is presented and discussed. The obtained results prove the effectiveness and the accuracy of the proposed method comparing with both simulation and existing approaches in the literature.
  • Keywords
    Markov processes; exponential distribution; production management; Markov chain; birth-death Markov process; blockage probability; buffered serial production line; buffered unreliable production line; equivalent machine method; exponential distribution; failure time; production line throughput; repair time; starvation probability; Bismuth; Equations; Maintenance engineering; Markov processes; Mathematical model; Production; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence In Production And Logistics Systems (CIPLS), 2013 IEEE Workshop on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/CIPLS.2013.6595197
  • Filename
    6595197