Novel method for heuristic modelling of flexible manufacturing systems

Flexible manufacturing systems (FMS) play an important role in industrial automation. They belong to a class of systems known as discrete event systems (DES) representing varying events with time. The modeling and control of such systems poses a challenge of handling uncertainties in resources and s...

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Main Author: Payyalore R. Venkateswaran
Format: Article
Language:English
Published: Maejo University 2009-10-01
Series:Maejo International Journal of Science and Technology
Subjects:
Online Access:http://www.mijst.mju.ac.th/vol3/408-414.pdf
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author Payyalore R. Venkateswaran
author_facet Payyalore R. Venkateswaran
author_sort Payyalore R. Venkateswaran
collection DOAJ
description Flexible manufacturing systems (FMS) play an important role in industrial automation. They belong to a class of systems known as discrete event systems (DES) representing varying events with time. The modeling and control of such systems poses a challenge of handling uncertainties in resources and sequences for optimization. Presently the tools used for modeling such systems including Petri nets are constrained in the face of uncertainties in the system. A modified approach using new fuzzy logic formalism in Petri nets is proposed in this paper as a solution to overcome the problem. The utility of this formulation is that apart from the validity, it is adaptable to practical implementation in sequence controllers normally employed in FMS.
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spelling doaj.art-209d880a6bfc46818c5c3d612bd54aa32022-12-21T18:15:16ZengMaejo UniversityMaejo International Journal of Science and Technology1905-78732009-10-01303408414Novel method for heuristic modelling of flexible manufacturing systemsPayyalore R. VenkateswaranFlexible manufacturing systems (FMS) play an important role in industrial automation. They belong to a class of systems known as discrete event systems (DES) representing varying events with time. The modeling and control of such systems poses a challenge of handling uncertainties in resources and sequences for optimization. Presently the tools used for modeling such systems including Petri nets are constrained in the face of uncertainties in the system. A modified approach using new fuzzy logic formalism in Petri nets is proposed in this paper as a solution to overcome the problem. The utility of this formulation is that apart from the validity, it is adaptable to practical implementation in sequence controllers normally employed in FMS.http://www.mijst.mju.ac.th/vol3/408-414.pdfflexible manufacturing system (FMS)fuzzy Petri netsprogrammable logic controllers (PLC)
spellingShingle Payyalore R. Venkateswaran
Novel method for heuristic modelling of flexible manufacturing systems
Maejo International Journal of Science and Technology
flexible manufacturing system (FMS)
fuzzy Petri nets
programmable logic controllers (PLC)
title Novel method for heuristic modelling of flexible manufacturing systems
title_full Novel method for heuristic modelling of flexible manufacturing systems
title_fullStr Novel method for heuristic modelling of flexible manufacturing systems
title_full_unstemmed Novel method for heuristic modelling of flexible manufacturing systems
title_short Novel method for heuristic modelling of flexible manufacturing systems
title_sort novel method for heuristic modelling of flexible manufacturing systems
topic flexible manufacturing system (FMS)
fuzzy Petri nets
programmable logic controllers (PLC)
url http://www.mijst.mju.ac.th/vol3/408-414.pdf
work_keys_str_mv AT payyalorervenkateswaran novelmethodforheuristicmodellingofflexiblemanufacturingsystems