Abstract
This article explores possibilities for designing and executing simulation models with specific analysis goals in mind, and shows that a tight coupling of the modeling and analysis phases in a simulation project can lead to dramatic improvements in the study results. Suggestions are made for how simulation analysis, considered in the explicit context of discrete-event simulation models, can create new opportunities for meaningful research and more efficient modeling. Modeling decisions can play a significant role in the performance of analytical procedures. How a simulation model is designed can enable, inhibit, or even invalidate analytical procedures and methodology research results.
Citation impact
899
total citations
- FWCI
- 73.05
- Percentile
- 100%
- References
- 58
Citations per year
Authors
1Topics & keywords
Topics
Keywords
- Computer science
- Discrete event simulation
- Context (archaeology)
- Modeling and simulation
- Simulation modeling
- Management science
- Systems engineering
- Industrial engineering
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