Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Simulation Modeling and Analysis
Simulation Modeling and Analysis
A practical bottleneck detection method
Proceedings of the 33nd conference on Winter simulation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Extend: an interactive simulation tool: extend: an interactive simulation tool
Proceedings of the 35th conference on Winter simulation: driving innovation
Practical approach to experimentation in a simulation study
Proceedings of the 40th Conference on Winter Simulation
Semi-automatic simulation-based bottleneck detection approach
Proceedings of the Winter Simulation Conference
Manual assembly line operator scheduling using hierarchical preference aggregation
Proceedings of the Winter Simulation Conference
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Discrete event simulation is an important decision support tool to evaluate changes in manufacturing, distribution or process facilities. The challenge arises when it comes to the integration of simulation as an effective tool to detect manufacturing constraints and to suggest improvement alternatives. This paper describes the application of a method for detecting bottlenecks in discrete event models developed by Toyota Motor Company. The objective in this case is to automate the bottleneck analysis facilitating the understanding and adoption of simulation by decision makers without knowledge of simulation. The main results of this paper are the validation of the bottleneck detection method and its integration with MS Excel spreadsheets. Moreover system improvement alternatives are presented by the use of design of experiments.