Abstract
A significant shortcoming of traditional modeling methodologies is the limited access they provide for decision-makers who are not modeling specialists. This paper presents an expert system approach to address this shortcoming. An expert system called the experimental frame expert system (EFES) was developed for this purpose within an advanced modeling environment for manufacturing systems. EFES reduces the dependence upon modeling specialists, and thus, makes models, both analytical and simulation, more accessible to decision-makers. This is accomplished by using two knowledge bases, one related to the manufacturing system specific symptoms and problems, and the other to system analysis and optimization tools. This paper presents the dissertation research effort that led to development of these two knowledge bases as well as the EFES framework within the advanced modeling environment.
| Original language | English |
|---|---|
| Pages (from-to) | 247-255 |
| Number of pages | 9 |
| Journal | Journal of Intelligent Manufacturing |
| Volume | 12 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1 Jun 2001 |
| Externally published | Yes |
Keywords
- Base model
- EFES
- Experimental frame
- Expert systems
- Modeling of manufacturing systems
- Tool independent modeling