Title: Systematic evaluation for bottleneck detection methods

Authors: Brian Huff; Mohammed AlMansouri

Addresses: Department of Industrial, Manufacturing, and Systems Engineering, University of Texas at Arlington, 701 S Nedderman Dr, Arlington, TX 76019, USA ' Department of Industrial, Manufacturing, and Systems Engineering, University of Texas at Arlington, 701 S Nedderman Dr, Arlington, TX 76019, USA

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.

Keywords: production system; bottleneck detection; simulation; theory of constraint; production activity control.

DOI: 10.1504/IJISE.2017.087191

International Journal of Industrial and Systems Engineering, 2017 Vol.27 No.3, pp.365 - 389

Received: 10 Jun 2015
Accepted: 03 Oct 2015
Published online: 11 Oct 2017 *

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