Application of Generalized Stochastic Petri Nets(GSPN) in Modeling and Evaluating a Resource Sharing Flexible Manufacturing System
In most study fields, a phenomenon may not be
studied directly but it will be examined indirectly by phenomenon
model. Making an accurate model of system, there is attained new
information from modeled phenomenon without any charge, danger,
etc... there have been developed more solutions for describing and
analyzing the recent complicated systems but few of them have
analyzed the performance in the range of system description. Petri
nets are of limited solutions which may make such union. Petri nets
are being applied in problems related to modeling and designing the
systems. Theory of Petri nets allow a system to model
mathematically by a Petri net and analyzing the Petri net can then
determine main information of modeled system-s structure and
dynamic. This information can be used for assessing the performance
of systems and suggesting corrections in the system. In this paper,
beside the introduction of Petri nets, a real case study will be studied
in order to show the application of generalized stochastic Petri nets in
modeling a resource sharing production system and evaluating the
efficiency of its machines and robots. The modeling tool used here is
SHARP software which calculates specific indicators helping to
make decision.
[1] John Wiley and Sons, (1995), "Modeling with Generalized stochastic
Petri Nets".
[2] Itamar S.Limat, Angelo Perkusich and Jorge c.A, (1996), "An
Interactive Petri Net tool for modeling, analysis and simulation of
complex systems".
[3] K.S.Cheung, T.Y.Cheung, K.O.Chow, (2005), "A Petri net based
synthesis methodology for Use-case-driven system design", Elsevier,
(2005).
[4] Wern - Kueir jehng, (2000), "Petri net models applied to analyze
automatic sequential systems".
[5] Weijun Zhang and Theodor Freiheit and Huashu Yang, (2004),
"Dynamic Scheduling in flexible assembly system based on timed Petri
Net", Elsevier, (2004).
[6] E. Villain and J.C.Pased and P.E.Miyagi and R.Valette, (2004), "Object
Oriented approach for Cane sugar production: modeling and analysis",
Elsevier, (2004).
[7] Victor R.L.Shen, "A PN-based approach to the high-level synthesis of
digital system ", Elsevier, (2005).
[8] Zurawski and Zhou, "Petri Nets And Industrial applications: A Tutorial",
IEEE, (1994).
[9] Jeffrey W.Herrmann and Edward Lin, "Petri Nets: Tutorial and
applications", Elsevier, (1997).
[10] A.Nketsa and R.Valett, "Rapid and modular prototyping-based Petri nets
and distributed simulation for manufacturing system", Elsevier, (2001).
[11] Klans-peter Neuendorf and Dimitris kiritsis and Tamas Kis and Paul
Xirouchaki, "Two level Petri Net Modeling for integrated Process and
Job-shop Production Planning", Elsevier, (1995).
[12] Mengchu Zhou and FrAnk Dicesare and Dianlog Gue, "Modeling and
Performance Analysis of o Resource-sharing Manufacturing system
using stochastic Petri nets", Elsevier, (1994).
[13] J.L.Peterson, "Petri Net Theory and the Modeling of Systems", IEEE,
(1981).
[14] M.C.Zhou and K.Venkatesh, "modeling, simulation and Control of
Flexible Manufacturing System: A Petri Net Approach" IEEE, (1998).
[15] A. Holt, (1975) , role "activity models and Petri Nets
[16] C. Ramchandani, "Analysis of Asynchronous Concurrent Systems by
timed Petri Nets", IEEE, (1974)
[17] M.A. Marsan and G.Chiola , "Modeling discrete systems with stochastic
Petri Nets", IEEE, (1985).
[18] K.Jensen and Theoret Coput, "Colored Petri Nets and the invariant
method-, IEEE, (1981).
[19] M. K. Molloy, "Petri net modeling: the past, the present, and the future",
IEEE, (1989).
[1] John Wiley and Sons, (1995), "Modeling with Generalized stochastic
Petri Nets".
[2] Itamar S.Limat, Angelo Perkusich and Jorge c.A, (1996), "An
Interactive Petri Net tool for modeling, analysis and simulation of
complex systems".
[3] K.S.Cheung, T.Y.Cheung, K.O.Chow, (2005), "A Petri net based
synthesis methodology for Use-case-driven system design", Elsevier,
(2005).
[4] Wern - Kueir jehng, (2000), "Petri net models applied to analyze
automatic sequential systems".
[5] Weijun Zhang and Theodor Freiheit and Huashu Yang, (2004),
"Dynamic Scheduling in flexible assembly system based on timed Petri
Net", Elsevier, (2004).
[6] E. Villain and J.C.Pased and P.E.Miyagi and R.Valette, (2004), "Object
Oriented approach for Cane sugar production: modeling and analysis",
Elsevier, (2004).
[7] Victor R.L.Shen, "A PN-based approach to the high-level synthesis of
digital system ", Elsevier, (2005).
[8] Zurawski and Zhou, "Petri Nets And Industrial applications: A Tutorial",
IEEE, (1994).
[9] Jeffrey W.Herrmann and Edward Lin, "Petri Nets: Tutorial and
applications", Elsevier, (1997).
[10] A.Nketsa and R.Valett, "Rapid and modular prototyping-based Petri nets
and distributed simulation for manufacturing system", Elsevier, (2001).
[11] Klans-peter Neuendorf and Dimitris kiritsis and Tamas Kis and Paul
Xirouchaki, "Two level Petri Net Modeling for integrated Process and
Job-shop Production Planning", Elsevier, (1995).
[12] Mengchu Zhou and FrAnk Dicesare and Dianlog Gue, "Modeling and
Performance Analysis of o Resource-sharing Manufacturing system
using stochastic Petri nets", Elsevier, (1994).
[13] J.L.Peterson, "Petri Net Theory and the Modeling of Systems", IEEE,
(1981).
[14] M.C.Zhou and K.Venkatesh, "modeling, simulation and Control of
Flexible Manufacturing System: A Petri Net Approach" IEEE, (1998).
[15] A. Holt, (1975) , role "activity models and Petri Nets
[16] C. Ramchandani, "Analysis of Asynchronous Concurrent Systems by
timed Petri Nets", IEEE, (1974)
[17] M.A. Marsan and G.Chiola , "Modeling discrete systems with stochastic
Petri Nets", IEEE, (1985).
[18] K.Jensen and Theoret Coput, "Colored Petri Nets and the invariant
method-, IEEE, (1981).
[19] M. K. Molloy, "Petri net modeling: the past, the present, and the future",
IEEE, (1989).
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:60290", author = "Aryanejad Mir Bahador Goli and Zahra Honarmand Shah Zileh", title = "Application of Generalized Stochastic Petri Nets(GSPN) in Modeling and Evaluating a Resource Sharing Flexible Manufacturing System", abstract = "In most study fields, a phenomenon may not be
studied directly but it will be examined indirectly by phenomenon
model. Making an accurate model of system, there is attained new
information from modeled phenomenon without any charge, danger,
etc... there have been developed more solutions for describing and
analyzing the recent complicated systems but few of them have
analyzed the performance in the range of system description. Petri
nets are of limited solutions which may make such union. Petri nets
are being applied in problems related to modeling and designing the
systems. Theory of Petri nets allow a system to model
mathematically by a Petri net and analyzing the Petri net can then
determine main information of modeled system-s structure and
dynamic. This information can be used for assessing the performance
of systems and suggesting corrections in the system. In this paper,
beside the introduction of Petri nets, a real case study will be studied
in order to show the application of generalized stochastic Petri nets in
modeling a resource sharing production system and evaluating the
efficiency of its machines and robots. The modeling tool used here is
SHARP software which calculates specific indicators helping to
make decision.", keywords = "Flexible manufacturing system, generalizedstochastic Petri nets, Markov chain, performance evaluation.", volume = "3", number = "9", pages = "1098-10", }