Modeling and representation of manufacturing process with uncertainties using parametric modular design and xPNML

Authors:
Hyunsoo Lee;Amarnath Banerjee
Affiliations:
Department of Industrial and Systems Engineering, Texas A&MUniversity, USA;Department of Industrial and Systems Engineering, Texas A&MUniversity, USA
Venue:
CTS '09 Proceedings of the 2009 International Symposium on Collaborative Technologies and Systems
Year:
2009

Citing 0
Cited 1

Representation, simulation and control of manufacturing process with different forms of uncertainties

Winter Simulation Conference

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes fuzzy Colored Petri Nets with stochastic time delay (FCPN-std) as one of methodologies of incorporating qualitative uncertainties and stochastic information in a manufacturing system. As a combined model with fuzzy colored Petri Nets (FCPNs) and stochastic Petri Nets (SPNs), it captures and models statistical and qualitative uncertainties in manufacturing processes. A parametric modular design methodology is proposed for effective design of complex processes. A mold producing process in digital camera making industry is modeled as an example application. The model incorporating uncertain and stochastic information is represented using extended Petri Net Markup Language (xPNML) architecture. xPNML formatted fuzzy colored Petri Net with stochastic time delay is shown as an effective design methodology and representation tool for describing manufacturing processes and capturing uncertainties.