A hybrid methodology for synthesis of Petri net models for manufacturing systems

“…Problems arise when the complexity of a real-world system leads to a large Petri net having many places and transitions (Zhou et al 1992). A common approach is to model the components and build the overall systems in a bottom-up manner.…”

Section: Introductionmentioning

confidence: 99%

“…However, a Petri net constructed by merging arbitrary sub-nets is difficult to analyse, and, furthermore, an early design error can lead to an incorrect model. Zhou et al (1992) propose a hybrid methodology that builds a model by combining the top-down refinement of operations and the bottom-up assignment of resources. Another approach is the use of well-defined net modules and restricting their interaction.…”

Section: Introductionmentioning

confidence: 99%

Production-process modelling based on production-management data: a Petri-net approach

Gradišar

Mušič

2007

International Journal of Computer Integrated Manufacturing

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During the development of a production control system, an appropriate model of the production process is needed to evaluate the various control strategies. This paper describes how to apply timed Petri nets and existing production data to the modelling of production systems. Information concerning the structure of a production facility and the products that can be produced is usually given in production-data management systems. We describe a method for using these data to construct a Petri-net model algorithmically. The timed Petri-net simulator, which was constructed in Matlab, is also described. This simulator makes it possible to introduce heuristics, and, in this way, various production scenarios can be evaluated. To demonstrate the applicability of our approach, we applied it to a scheduling problem in the production of furniture fittings.

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“…Many system engineering approaches include a top-down modeling of the planned system [21], [22], which usually means enriching a model with more and more details. Software tools allow hierarchical refinements and performance evaluations of each refined model, but usually only the most refined model available is considered further.…”

Section: Towards Accuracy-adaptive Simulationmentioning

confidence: 99%

Towards accuracy-adaptive simulation for efficient design-space optimization

Zimmermann

Bodenstein

2011

2011 IEEE International Conference on Systems, Man, and Cybernetics

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Abstract-Designing complex embedded systems is a challenge, which benefits from using models for various tasks. Among them, an important one is finding a good (or the best) system design alternative for a given set of changeable parameters. Such decisions are usually based on non-functional properties which can be quantitatively expressed and evaluated using a model. Automatic optimization would be advantageous, but one of its problems is the enormous computational effort to evaluate the model for a large number of parameter sets. In this paper a new idea to speed up indirect optimization is proposed, which makes use of an integration of optimization control and underlying performance evaluation technique. Moreover, we propose to adaptively use refinements or abstractions of complex hierarchical models to control the tradeoff between model complexity and result accuracy of a performance evaluation, and demonstrate this dependency with an example.

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A hybrid methodology for synthesis of Petri net models for manufacturing systems

Cited by 394 publications

References 32 publications

Analysis of Parallel Manufacturing Processes with Resource Sharing

Analysis of Parallel Manufacturing Processes with Resource Sharing

Production-process modelling based on production-management data: a Petri-net approach

Towards accuracy-adaptive simulation for efficient design-space optimization

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