Research Article
TiPeNeSS: A Timed Petri Net Simulator Software with Generally Distributed Firing Delays
@ARTICLE{10.4108/eai.24-8-2015.2261343, author={\^{A}d\^{a}m Horv\^{a}th and Andr\^{a}s Moln\^{a}r}, title={TiPeNeSS: A Timed Petri Net Simulator Software with Generally Distributed Firing Delays}, journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems}, volume={3}, number={8}, publisher={ACM}, journal_a={INIS}, year={2015}, month={8}, keywords={simulation, timed petri net, general distribution}, doi={10.4108/eai.24-8-2015.2261343} }
- Ádám Horváth
András Molnár
Year: 2015
TiPeNeSS: A Timed Petri Net Simulator Software with Generally Distributed Firing Delays
INIS
EAI
DOI: 10.4108/eai.24-8-2015.2261343
Abstract
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]) can be 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.
Copyright © 2015 Á. Horváth and A. Molnár, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.