The Constraints Management Handbook
The Constraints Management Handbook
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Bottleneck analysis in multiclass closed queueing networks and its application
Queueing Systems: Theory and Applications
Productivity improvement: shifting bottleneck detection
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Productivity improvement: throughput sensitivity analysis using a single simulation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 35th conference on Winter simulation: driving innovation
Trace based analysis of process interaction models
WSC '05 Proceedings of the 37th conference on Winter simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Emergence of simulations for manufacturing line designs in Japanese automobile manufacturing plants
Proceedings of the 40th Conference on Winter Simulation
Practical approach to experimentation in a simulation study
Proceedings of the 40th Conference on Winter Simulation
Journal of Intelligent Manufacturing
Input data management methodology for discrete event simulation
Winter Simulation Conference
Job shop bottleneck detection based on orthogonal experiment
Computers and Industrial Engineering
Semi-automatic simulation-based bottleneck detection approach
Proceedings of the Winter Simulation Conference
Proceedings of the 2013 Grand Challenges on Modeling and Simulation Conference
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This paper describes a novel method for detecting the bottleneck in a discrete event system by examining the average duration of a machine being active for all machines. The machine with the longest average uninterrupted active period is considered the bottleneck. The method is widely applicable and also capable of analyzing complex and sophisticated systems. The results are highly accurate, distinguishing between bottleneck machines and non-bottleneck machines with a high level of confidence. This approach is very easy to use and can be implemented into existing simulation tools with little effort, requiring only an analysis of the log file which is readily available by almost all simulation tools. This method satisfies not only academic requirements with respect to accuracy but also industry requirements with respect to usability.