Simulation Modeling and Analysis
Simulation Modeling and Analysis
A practical bottleneck detection method
Proceedings of the 33nd conference on Winter simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Productivity improvement: shifting bottleneck detection
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Validation and verification of simulation models
WSC '04 Proceedings of the 36th conference on Winter simulation
A template-based conceptual modeling infrastructure for simulation of physical security systems
WSC '04 Proceedings of the 36th conference on Winter simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Output analysis for simulations
Proceedings of the 38th conference on Winter simulation
Proceedings of the 2013 Grand Challenges on Modeling and Simulation Conference
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Simulation study of complex production facilities can be a challenging task for manufacturing engineers as it requires skills to build the models and to conduct experiments. Accurate modeling but inadequate experimentation may lead to poor decision and can be detrimental particularly when financial investment is involved. This paper proposes a practical approach to simulation experimentation in the context of simulation study of an engine assembly line. The overall aim of the study was to increase the productivity and efficiency of the line. The approach was deployed in the form of a methodology that was used to select the most feasible outcome from a series of simulation experiments, taking into account the minimum effort/investment needed to implement the improvement.