Extended Petri net-based modeling, analysis and simulation of an intelligent materials handling system

Valavanis, Kimon P.; Ramaswamy, S.; Landry, Steve P.

doi:10.1007/bf01276706

Cited by 9 publications

(2 citation statements)

References 36 publications

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“…Cho and Wysk (1995) viewed the problem from a CIM viewpoint, and discussed the requirements, problems and models for an intelligent workstation controller. Davis and Jones (1989) ¢ McConnell and Medeiros (1992) ,/ Rogers and Gordon (1993) , ,/ ,/ ¢ Kim and Kim (1994) , / Harmonosky and Robohn (1995) J ¢ Hatono et al (1992) ,/ Choobineh and Shivani (1992 Shaw (1986) ,/ ¢" Shen and Chang (1986) ¢ Subramanyam and Askin (1986) ,/ Maimon (1987) / ,/ ¢ Bu-Hulaiga and Chakravarty (1988) ¢ , / Maley et al (1988) ,/ O'Grady and Lee (1988) ¢ ¢ Shaw (1988) ¢ ¢ Young and Rossi (1988) ,/ ,/ Kusiak (1989) ,/ Shaw and Whinston (1989) , / Joshi et al (1992) ,/ Teltz and Elbestawi (1992) ,/ Karabuk and Sabuncuoglu (1993) ¢ / Heikkila et aL (1994) ,/ Lefrancois and Montreuil (1994) ,/ Ranky (1992) ,/ ,/ ,/ Ravichandran and Chakravarty (1986) ¢ Gentina and Corbeel (1987) , / Ferreira et al (1991) / ¢ / Shih and Sekiguchi (1991) , / Huang and Chang (1992) ¢ Lee and DiCesare (1992) , / Camurri et al (1993) ¢ Raju and Chetty (1993a) ,/ Raju and Cherty (1993b) ,/ ¢ Cheng et al (1994) ,/ ,/ Masory (1994) , / Valavanis et al (1994) ,/ Lin and Chung (1986) ¢ Wu and Wysk (1988) / ,/ Rabelo and Alptekin (1989) ,/ Banks (1992) (1991) ,/ ¢ Wu (1992) / Sagi et al …”

Section: Research Statusmentioning

confidence: 99%

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The state of the art in intelligent real-time FMS control: a comprehensive survey

Shukla

Chen

1996

J Intell Manuf

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Flexible manufacturing systems (FMS) have been developed with the hope that they would provide a means to tackle a threefold challenge -better quality, lower cost and shorter lead times -by integrating machine tools, robots, material handling and storage systems, and computers. Control of the integrated system presented a new set of problems as well as challenges, which have been receiving considerable attention from the academic community as well as from industrial system users. Intelligent control, which involves using computers to assist in decision making at various stages of the control process, has been advocated by many researchers as a possible avenue to reach a solution to these problems. This paper provides a review of the state of the art in intelligent control of FMS, in an attempt to supplement earlier general reviews via a more focused perspective. The principles of several techniques, namely simulation, knowledge based, example based, petri nets, and hybrid approaches are briefly introduced, and publications are reviewed, followed by discussions ontheir potential. Suggestions for further research and development are also enumerated.

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Section: Research Statusmentioning

confidence: 99%

“…Masory (1994) developed an integrated approach to simulation, control and real-time diagnostics for manufacturing systems using adaptive augmented timed petri nets. Valavanis et al (1994) applied petri nets to the analysis of material-handling systems.…”

Section: Research Statusmentioning

confidence: 99%

The state of the art in intelligent real-time FMS control: a comprehensive survey

Shukla

Chen

1996

J Intell Manuf

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System Failure Analysis Through Counters of Petri Net Models

Adamyan

2003

Quality & Reliability Eng

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Petri nets are a powerful technique widely used in the modeling and analysis of complex manufacturing systems and processes. Due to their capability in modeling the dynamics of the systems, Petri nets have been combined with fault tree analysis techniques to determine the average rate of occurrence of system failures. Current methods in combining Petri nets with fault trees for system failure analysis compute the average rate of occurrence of system failures by tracking the markings of the Petri net models. The limitations of these methods are that tracking the markings of a Petri net represented by a reachability tree can be very complicated as the size of the system grows. Therefore, these methods offer less flexibility in analyzing sequential failures in the system. To overcome the limitations of the current methods in applying Petri nets for system failure assessment, this paper expands and extends the concept of counters used in Petri net simulation to perform the failure and reliability analysis of complex systems. The presented method allows the system failures to be modeled using general Petri nets with inhibitor arcs and loops, which employs fewer variables than existing marking‐based methods and substantially accelerates the computations. It can be applied to real system failure analysis where basic events can have different failure rates. Copyright © 2003 John Wiley & Sons, Ltd.

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