A modular petri net based architecture to model manufacturing systems exhibiting resource and timing uncertainties

Abstract

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.