Automotive robotic body shop simulation for performance improvement using plant feedback

Annamalai Pandian and Ahad Ali

International Journal of Industrial and Systems Engineering, 2011, vol. 7, issue 3, 269-291

Abstract: This paper illustrates how to improve robotic automotive body shop throughput by feeding back actual plant data for input variables for entities to improve discrete simulation model prediction and validation. The input variables are adjusted based on actual plant data, and the simulation model was run for various scenarios to verify and validate the discrete simulation model. The general tendency in an automotive plant body shop is to buy more equipment to improve throughput. It is very interesting to see how mean time to repair/mean time between failure assumptions affect the throughput. The bottleneck issues are identified for automotive plant to improve throughput.

Keywords: automotive body shops; performance improvement; robotics; plant feedback; plant data; input variables; discrete simulation models; simulation model validation; simulation model prediction; equipment purchase; improved throughput; repair times; mean time; failure assumptions; bottlenecks; USA; United States; industrial engineering; systems engineering. (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (1)

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