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

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. 2009 IEEE.

name of conference

• 2009 IEEE International Conference on Automation Science and Engineering

authors

• Banerjee, Amarnath

published proceedings

• 2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING

author list (cited authors)

• Lee, H., & Banerjee, A.

citation count

• 10

complete list of authors

• Lee, Hyunsoo||Banerjee, Amarnath

publication date

• August 2009

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE International Conference on Automation Science and Engineering (CASE) : [proceedings]. IEEE Conference on Automation Science and Engineering  Journal

Digital Object Identifier (DOI)

• 10.1109/COASE.2009.5234151

International Standard Book Number (ISBN) 13

• 978-1-4244-4578-3

start page

• 525

end page

• 530

URL

• http://dx.doi.org/10.1109/coase.2009.5234151