A Modular Petri Net Based Architecture to Model Manufacturing Systems Exhibiting Resource and Timing Uncertainties Conference Paper uri icon


  • Modeling of a manufacturing system consisting of many processes typically requires extensive assumptions and approximations during design stage. A modeling methodology that can capture the complexities of a process and existing uncertainties in a reconfigurable manner is needed to reduce the extent of the assumptions and approximations. A Petri Net approach is one of the effective methodologies for modeling reconfigurable manufacturing system (RMS). A fuzzy colored Petri Net with stochastic time delay (FCPN-std) concept is proposed here, which is shown as an effective modeling methodology to incorporate different types of uncertainties using fuzzy logic and stochastic time delay. A 5-stage modeling method is proposed to capture complexities in manufacturing processes with the help of FCPN-std and parametric Petri Net modules. © 2009 IEEE.

author list (cited authors)

  • Lee, H., & Banerjee, A.

citation count

  • 7

publication date

  • August 2009