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Systematic evaluation for bottleneck detection methods

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  • Brian Huff
  • Mohammed AlMansouri

Abstract

This study will evaluate bottleneck detection techniques that have been identified in previous research by comparing the performance of each method on all case study models that can be replicated from the literature. The purpose of this analysis is to identify the most efficient and reliable bottleneck detection algorithm(s) which are capable of supporting constraint identification on a wide range of production system classes and configurations. The primary objective will be to identify a robust bottleneck detection algorithm, or a small set of algorithms, that can be broadly applied to various types of production or service provision environments. Discrete-event simulation will be used to support this algorithm evaluation task and will also play a key role in the application of bottleneck detection methods in real-world production scenarios.

Suggested Citation

  • Brian Huff & Mohammed AlMansouri, 2017. "Systematic evaluation for bottleneck detection methods," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 27(3), pages 365-389.
    • Handle: RePEc:ids:ijisen:v:27:y:2017:i:3:p:365-389
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