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Simulation modeling for analysis
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.
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Citations
Cited by
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Hoppe, H., DeRose, T., Duchamp, T., McDonald, J., & Stuetzle, W. (1992) · Proceedings of the 19th annual conference on Computer graphics and interactive techniques · doi:10.1145/133994.134011 · Cited by 2,730
The Potential for Cannibalization of New Products Sales by Remanufactured Products*
Guide, Jr., & Li, J. (2010) · Decision Sciences · doi:10.1111/j.1540-5915.2010.00280.x · Cited by 447
Chau, C. K., Hui, W. K., Ng, W. Y., & Powell, G. (2012) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2012.01.001 · Cited by 160
Yeh, T.-M., & Sun, J.-J. (2013) · Journal of Applied Research and Technology · doi:10.1016/s1665-6423(13)71585-2 · Cited by 39
Walton, R. B., Ciarallo, F. W., & Champagne, L. E. (2024) · Computers & Industrial Engineering · doi:10.1016/j.cie.2024.110241 · Cited by 33
Metadata
- Authors
- Schruben, L.
- Venue
- ACM Transactions on Modeling and Computer Simulation
- Published
- 2010-01
- Volume
- 20
- Issue
- 1
- Pages
- 1-22
- ISSN
- 1049-3301 (ISSN-L)
- 1558-1195
- OpenAlex
- W1992870153
- Cited by
- 895
- References
- 0
- FWCI
- 79.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- Schruben, L. (2010). Simulation modeling for analysis. ACM Transactions on Modeling and Computer Simulation. https://doi.org/10.1145/1667072.1667074
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.