A modular Petri net based architecture to modelmanufacturing systems exhibiting resource and timinguncertainties

Authors:
Hyunsoo Lee;Amarnath Banerjee
Affiliations:
Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX;Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX
Venue:
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Year:
2009

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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.