Name
Abstract | ||
|---|---|---|
Most management problems addressed by simulation studies can be characterized as complex and difficult to analyze. Simplification is instrumental in creating and employing simulation models that are useful - by focusing on those system elements that matter, and feasible - by reducing study efforts. Although simplification is considered a fundamental modelling activity, simulation educational support for mastering associated modelling skills is limited. Main textbooks either do not address this topic or tend to restrict their guidance to a few rules of thumb. This reflects how the topic of simulation model simplification is underdeveloped, despite the field of simulation being around 50 years of age. The purpose of this panel is to initiate a discussion about the way we teach simulation model simplification with the view to identifying improvements. This paper addresses the motivation for the panel, and presents panelists' "positions" about the way forward for education on simulation model simplification.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/WSC.2018.8632544 | WSC |
Field | DocType | ISSN |
Data modeling,Systems engineering,Industrial engineering,Computer science,Simulation modeling,Rule of thumb,restrict | Conference | 0891-7736 |
ISBN | Citations | PageRank |
978-1-5386-6570 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Durk-Jouke van der Zee | 1 | 50 | 8.22 |
| Antuela A. Tako | 2 | 182 | 15.35 |
| Stewart Robinson | 3 | 583 | 50.51 |
| Paul A. Fishwick | 4 | 0 | 0.34 |
| Oliver Rose | 5 | 17 | 10.43 |