Abstract
Discrete-event simulation models are often constructed so that an analyst may compare two or more competing design alternatives. This paper presents a survey of the literature for two widely-used statistical methods for selecting the best design from among a finite set of k alternatives: ranking and selection (R&S) and multiple comparison procedures (MCPs). A comprehensive survey of each topic is presented along with a summary of recent unified R&S-MCP approaches. In addition, an example of the application of Nelson and Matejcik's (1995) combined R&S-MCP procedure is given.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 492-501 |
| Number of pages | 10 |
| Journal | Winter Simulation Conference Proceedings |
| Volume | 1 |
| State | Published - 1999 |
| Externally published | Yes |
| Event | 1999 Winter Simulation Conference Proceedings (WSC) - Phoenix, AZ, USA Duration: Dec 5 1999 → Dec 8 1999 |
ASJC Scopus subject areas
- Software
- Safety, Risk, Reliability and Quality
- Applied Mathematics
- Chemical Health and Safety
- Modeling and Simulation