Performance evaluation of automated manufacturing systems using generalized stochastic Petri NetsThe main objective of this research is to develop a generic modeling methodology with a flexible and modular framework to aid in the design and performance evaluation of integrated manufacturing systems using a unified model. After a thorough examination of the available modeling methods, the Petri Net approach was adopted. The concurrent and asynchronous nature of manufacturing systems are easily captured by Petri Net models. Three basic modules were developed: machine, buffer, and Decision Making Unit. The machine and buffer modules are used for modeling transfer lines and production networks. The Decision Making Unit models the functions of a computer node in a complex Decision Making Unit Architecture. The underlying model is a Generalized Stochastic Petri Net (GSPN) that can be used for performance evaluation and structural analysis. GSPN's were chosen because they help manage the complexity of modeling large manufacturing systems. There is no need to enumerate all the possible states of the Markov Chain since they are automatically generated from the GSPN model.
Document ID
19930074179
Acquisition Source
Legacy CDMS
Document Type
Thesis/Dissertation
Authors
Al-Jaar, Robert Y. (Rensselaer Polytechnic Inst. Troy, NY, United States)
Desrochers, Alan A. (Rensselaer Polytechnic Inst. Troy, NY, United States)