TiPeNeSS: A Timed Petri Net Simulator Software with Generally Distributed Firing Delays
Performance analysis can be carried out in several ways, especially in case of Markovian models. In order to interpret high level of abstraction, we often use modeling tools like timed Petri nets (TPNs). Although some subclasses of TPNs (e.g. stochastic Petri nets (SPNs) [17, 19]) canbe handled anal...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
European Alliance for Innovation (EAI)
2016-11-01
|
Series: | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
Subjects: | |
Online Access: | https://eudl.eu/pdf/10.4108/eai.24-8-2015.2261343 |
id |
doaj-fa1beedb5d7244a985cab3fae2a5f775 |
---|---|
record_format |
Article |
spelling |
doaj-fa1beedb5d7244a985cab3fae2a5f7752020-11-25T01:44:56ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Industrial Networks and Intelligent Systems2410-02182016-11-013810.4108/eai.24-8-2015.2261343TiPeNeSS: A Timed Petri Net Simulator Software with Generally Distributed Firing DelaysÁdám Horváth0András Molnár1Institute of Informatics and Economics, University of West HungaryInstitute of Informatics and Economics, University of West HungaryPerformance analysis can be carried out in several ways, especially in case of Markovian models. In order to interpret high level of abstraction, we often use modeling tools like timed Petri nets (TPNs). Although some subclasses of TPNs (e.g. stochastic Petri nets (SPNs) [17, 19]) canbe handled analytically, a general timed Petri net is hard to evaluate via numerical analysis. However, the simulation of SPNs or deterministic and stochastic Petri nets (DSPNs) [16] are supported by many known tools (see, e.g. [3, 20]), it is hard to find a simulation tool for timed Petri nets with generally distributed (i.e., particular but arbitrarily chosen) firing times.In this paper, we present TiPeNeSS (Timed Petri Net Simulator Software) which supports the simulation of timed Petri nets containing transitions with generally distributed firing delays. The input of the software (the Petri net and the parameters) is defined in an XML ï¬le, what allows us to generate results in batch mode. Besides, we describe a case study in which we optimize the frequency of the regular maintenance in a manufacturing process.https://eudl.eu/pdf/10.4108/eai.24-8-2015.2261343simulation timed petri net general distribution |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ádám Horváth András Molnár |
spellingShingle |
Ádám Horváth András Molnár TiPeNeSS: A Timed Petri Net Simulator Software with Generally Distributed Firing Delays EAI Endorsed Transactions on Industrial Networks and Intelligent Systems simulation timed petri net general distribution |
author_facet |
Ádám Horváth András Molnár |
author_sort |
Ádám Horváth |
title |
TiPeNeSS: A Timed Petri Net Simulator Software with Generally Distributed Firing Delays |
title_short |
TiPeNeSS: A Timed Petri Net Simulator Software with Generally Distributed Firing Delays |
title_full |
TiPeNeSS: A Timed Petri Net Simulator Software with Generally Distributed Firing Delays |
title_fullStr |
TiPeNeSS: A Timed Petri Net Simulator Software with Generally Distributed Firing Delays |
title_full_unstemmed |
TiPeNeSS: A Timed Petri Net Simulator Software with Generally Distributed Firing Delays |
title_sort |
tipeness: a timed petri net simulator software with generally distributed firing delays |
publisher |
European Alliance for Innovation (EAI) |
series |
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
issn |
2410-0218 |
publishDate |
2016-11-01 |
description |
Performance analysis can be carried out in several ways, especially in case of Markovian models. In order to interpret high level of abstraction, we often use modeling tools like timed Petri nets (TPNs). Although some subclasses of TPNs (e.g. stochastic Petri nets (SPNs) [17, 19]) canbe handled analytically, a general timed Petri net is hard to evaluate via numerical analysis. However, the simulation of SPNs or deterministic and stochastic Petri nets (DSPNs) [16] are supported by many known tools (see, e.g. [3, 20]), it is hard to find a simulation tool for timed Petri nets with generally distributed (i.e., particular but arbitrarily chosen) firing times.In this paper, we present TiPeNeSS (Timed Petri Net Simulator Software) which supports the simulation of timed Petri nets containing transitions with generally distributed firing delays. The input of the software (the Petri net and the parameters) is defined in an XML ï¬le, what allows us to generate results in batch mode. Besides, we describe a case study in which we optimize the frequency of the regular maintenance in a manufacturing process. |
topic |
simulation timed petri net general distribution |
url |
https://eudl.eu/pdf/10.4108/eai.24-8-2015.2261343 |
work_keys_str_mv |
AT adamhorvath tipenessatimedpetrinetsimulatorsoftwarewithgenerallydistributedfiringdelays AT andrasmolnar tipenessatimedpetrinetsimulatorsoftwarewithgenerallydistributedfiringdelays |
_version_ |
1725026196887961600 |