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Automotive robotic body shop simulation for performance improvement using plant feedback

Author

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  • Annamalai Pandian
  • Ahad Ali

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.

Suggested Citation

  • Annamalai Pandian & Ahad Ali, 2011. "Automotive robotic body shop simulation for performance improvement using plant feedback," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 7(3), pages 269-291.
    • Handle: RePEc:ids:ijisen:v:7:y:2011:i:3:p:269-291
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    Cited by:

    1. Toke Fosgaard, 2011. "The Emotional Consequences of Pro-social Behavior in Markets," IFRO Working Paper 2012/1, University of Copenhagen, Department of Food and Resource Economics.

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