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An efficient discrete event model of unreliable production lines

Kouikoglou Vasilis

Πλήρης Εγγραφή

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Περίληψη

This paper develops a discrete event simulation model of production lines with finite buffers and unreliable machines. The model is an extension of a continuous flow model developed by D’Angelo et al. [1], which simulates the system only when a machine’s production rate is altered. The events causing changes in the production rates are: machine fails or is repaired and buffer fills or empties. During operation between two events the system runs deterministically. Thus given the state of the system (machine cumulative production, buffer levels, and their statistics) at the time of occurrence of some event, the corresponding state variables upon the occurrence of the next event can be updated using analysis. The proposed model does not use repair events. This is achieved by considering the machine downtimes as transient times in which no parts are produced and developing more complex update equations. A number of numerical results verify that the proposed model is faster than the model of [1] and extremely faster than a conventional piece-by-piece simulator.

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