Abstract
This study presents a simulation-based procedure to identify bottleneck station(s) related to Theory of Constraints (TOC). Bottleneck identification starts by running simulation model of existing system to collect data of the utilization of each machine/process and the time between arrivals and departures of each machine/process. Three factors, the machine/process utilization, the process utilization factor (ρ) and the product bottleneck rate (Rb) are used to identify potential bottleneck candidates. The real bottleneck must come from the process that has high value of two factors; the utilization of machine/process and the utilization factor and low value for the bottleneck rate. The simulation is used again to evaluate the solution by increasing capacity of a bottleneck candidate. If no improvement in throughput is observed, then the station is not a bottleneck and the procedure is run again using the other bottleneck candidate. Numerical examples are given to illustrate the proposed procedure in both case of single bottleneck and multiple bottlenecks.
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Kasemset, C., Kachitvichyanukul, V. (2007). Simulation-Based Procedure for Bottleneck Identification. In: Park, JW., Kim, T.G., Kim, YB. (eds) AsiaSim 2007. AsiaSim 2007. Communications in Computer and Information Science, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77600-0_6
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DOI: https://doi.org/10.1007/978-3-540-77600-0_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77599-7
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