Abstract:Today"s manufacturing systems are characterized by large number of complexities such as random arrival patterns of jobs, random processing times, random failure rates, random repair times, random rejection of parts, etc. The analytical models cannot capture all the randomness mentioned above into the models. There is a need to incorporate them into models to have a practical and real life model. Simulation comes handy in this aspect. Discrete Event Simulation (DES) is used to model a manufacturing system to pr… Show more
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