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

• Published in: 2009 IEEE International Conference on Automation Science and Engineering pp. 525 - 530
• Main Authors: Hyunsoo Lee, Banerjee, A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2009
• Subjects: Availability; Delay effects; Fuzzy logic; Manufacturing automation; Manufacturing processes; Manufacturing systems; Process design; Stochastic processes; Timing; Uncertainty
• ISBN: 1424445787; 9781424445783
• ISSN: 2161-8070
• DOI: 10.1109/COASE.2009.5234151

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.