Bayesian Petri net based framework for performance analysis and control of manufacturing systems Conference Paper uri icon

abstract

  • The paper presents a control and performance analysis framework by integrating Bayesian model selection and stochastic Petri nets. Petri net based control architecture provides strong basis for understanding key manufacturing control issues and to obtain performance measures such as throughput and machine utilization. A Bayesian framework is integrated with Petri net model to identify input distributions and update these distributions in light of new data. The Bayesian Petri net based approach thus provides a strong control and analysis framework which helps in identifying underlying control issues and provides bayesian simulation platform for accurate prediction and monitoring of performance measures.

published proceedings

  • IIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World - Conference Proceedings

author list (cited authors)

  • Sharda, B., & Banerjee, A

complete list of authors

  • Sharda, B||Banerjee, A

publication date

  • December 2007