Abstract
This paper develops and evaluates an automated process sequential manufacturing system using stochastic Petri nets (SPN) theory. The proposed Petri net-based graphic model is used to generate a reachability tree. The tree is, in turn, converted to a state table representation of a Markov process model to investigate the model for liveness, boundedness, reversibility, and performance. Other important characteristics of a dynamic system, such as conflict, blocking, and deadlock can also be examined. Different configurations of an automated system are studied by SPN models to design an improved system.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2469-2474 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 4 |
| DOIs | |
| State | Published - 2001 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Hardware and Architecture
Keywords
- Automated manufacturing systems (AMS)
- Markov process
- Stochastic petri nets (SPN)