Simulation Analyzes Deadlock Concerns in Automotive Manufacture
Dominic Baffo, Edward Williams and Onur Ülgen
The 2010 Summer Computer Simulation Conference (SCSC 10)
Ottawa, Canada, July 11-14, 2010
Discrete-event process simulation is a decades-long friend of the industrial, process, or production engineer analyz-ing complex manufacturing process replete with heavy capital investment, complex material-handling require-ments, and requirements for flexibility in the face of highly volatile marketplace demands. When these chal-lenges are coupled with the economic gauntlet confront-ing the automotive industry, particularly within the United States, the importance of achieving efficiency and con-tinuous improvement demands the support of simulation analyses even more urgently. In this case study, we ex-amine the contribution of simulation not only to study key performance metrics of throughput and equipment utiliza-tion, but also to predict and ameliorate the risk of expen-sive, disruptive deadlocks of material-handling equip-ment. Additionally, simulation is used synergistically with closed-form binomial and trinomial distribution analyses.
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