Abstract
Manufacturing enterprise decisions can be classified into four groups: business decisions, design decisions, engineering decisions, and production decisions. Numerous physical and software simulation techniques have been used to evaluate specific decisions by predicting their impact on the system as measured by one or more performance measures. In this paper, we focus on production decisions, where discrete-event simulation models perform that evaluation. We argue that such an evaluation is limited in time and scope, and does not capture the potential impact of these decisions on the whole enterprise. We propose integrating these discrete-event models with system dynamic models and we show the potential benefits of such an integration using an example of semiconductor enterprise.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1125-1133 |
| Number of pages | 9 |
| Journal | Winter Simulation Conference Proceedings |
| Volume | 2 |
| State | Published - 2003 |
| Event | Proceedings of the 2003 Simulation Conference: Driving Innovation - New Orleans, LA, United States Duration: Dec 7 2003 → Dec 10 2003 |
ASJC Scopus subject areas
- Software
- Modeling and Simulation
- Safety, Risk, Reliability and Quality
- Chemical Health and Safety
- Applied Mathematics