Quantitative simulation approach to ameliorate deadlock concerns in automotive manufacture
نویسندگان
چکیده
Discrete-event process simulation is a decades-long friend of the industrial, process, or production engineer analyzing complex manufacturing process replete with heavy capital investment, complex material-handling requirements, and requirements for flexibility in the face of highly volatile marketplace demands. When these challenges are coupled with the economic gauntlet confronting the automotive industry, particularly within the United States, the importance of achieving efficiency and continuous improvement demands the support of simulation analyses even more urgently. In this case study, we examine the contribution of simulation not only to study key performance metrics of throughput and equipment utilization, but also to predict and ameliorate the risk of expensive, disruptive deadlocks of material-handling equipment. Additionally and innovatively, simulation is used synergistically with closed-form binomial and trinomial distribution analyses.
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تاریخ انتشار 2010