Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6896481 | European Journal of Operational Research | 2015 | 14 Pages |
Abstract
Theory of constraints has been commonly used in production systems to improve productivity. Since the improvement on an upstream workstation may have impact on its downstream servers, finding the true bottleneck is not trivial in a stochastic production line. Due to the analytical intractability of general tandem queues, we develop methods to quantify the dependence among stations through simulation. Dependence is defined by the contribution queue time at each station, and contribution factors are developed based on the insight from Friedman's reduction method and Jackson networks. In a tandem queue, the dependence among stations can be either diffusion or blocking, and their impact depends on the positions relative to the bottlenecks. Based on these results, we show that improving the performance of the system bottleneck may not be the most effective place to reduce system cycle time. Rather than making independence assumptions, the proposed method points out a promising direction and sheds light on the insights of the dependence in practical systems.
Keywords
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Kan Wu, Ning Zhao,