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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: Nov 2017
Next issue: Feb 2018
Avg review time: 106 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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FEATURED ARTICLE

Wind Speed Prediction with Wavelet Time Series Based on Lorenz Disturbance, ZHANG, Y., WANG, P., CHENG, P., LEI, S.
Issue 3/2017

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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

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  2/2002 - 3

Safety Criteria for Production Lines Modelled with Petri Nets

Calin CIUFUDEAN, Alexandru Bogdan LARIONESCU
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Not available online | Views: 654

Author keywords
production lines, Petri nets, Markov chains, restriction policy

References keywords
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About this article
Date of Publication: 2002-04-02
Volume 2, Issue 2, Year 2002, On page(s): 15 - 20
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: Not assigned

Abstract
Quick view
In this paper we study the problem of deadlock avoidance of production lines with shared resources. We use the Petri net model for production lines and a restrictive policy which presents some enabled transition from firing in order to avoid deadlock in the system. This is the safety control for non-stochastic discrete event systems. We generalise this notion of safety to the setting of stochastic discrete event systems, modelled as Markov chains. We propose a restriction policy for this generalised case.


References | Cited By

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Copyright ©2001-2018
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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