THE USE OF PETRI NETS IN DECISION SUPPORT SYSTEMS BASED ON INTELLIGENT MULTIPLY SOURCE DATA ANALYSIS

Tomasz Rymarczyk

tomasz.rymarczyk@netrix.com.pl
Research and Development Center, Netrix S.A., Lublin; University of Economics and Innovation in Lublin (Poland)

Grzegorz Kłosowski


Lublin University of Technology, Faculty of Management, Department of Organization of Enterprise (Poland)

Tomasz Cieplak


Lublin University of Technology, Faculty of Management, Department of Organization of Enterprise (Poland)

Abstract

The paper deals with the design of data analysis systems for business process automation. A general scheme of decision support system was developed in which one of the modules is based on Petri Nets. The way of implementation of Petri Net model in optimization problem regarding service-oriented decision support system was shown. The Petri Net model of distribution workflow was presented and simulation experiments was completed. As a result the optimal solution as a set of parameters was emerged.


Keywords:

Petri nets, decision support systems, data analysis, business data processing

Balbis L., Ordys A., Grimble M., Pang Y.: Tutorial introduction to the modellingand control of hybrid systems. Int J Modell Ident Control. 2(4)/2007, 259–272.
  Google Scholar

Ben-Arieh D., Kumar R.R., Tiwari M.K.: Analysis of assembly operations’ difficulty using enhanced expert highlevel colored fuzzy Petri net modelm. Robotics and Computer-integrated Manufacturing 20(5)/2004, 385–403.
  Google Scholar

Dong M., Chen F.F.: Process modelling and analysis of manufacturing supply chain networks using object-oriented Petri nets. Robotics and Computer-Integrated Manufacturing 17(1–2)/2001, 121–129.
  Google Scholar

Heemels W., De Schutter B., Bemporad A.: Equivalence of hybrid dynamical models. Automatica 37(7)/2001, 1085–1091.
  Google Scholar

Jiang Z. et al.: Colored Petri nets with changeable structures (CPN-CS) and their applications in modelling one-of-a-kind production (OKP) systems. Computers & Industrial Engineering 41(3)/2001, 279–308.
  Google Scholar

Kłosowski G., Gola A., Świć A.: Human Resource Selection for Manufacturing System Using Petri Nets. Applied Mechanics and Materials 791/2015, 132–140.
  Google Scholar

Kuma S. et al.: Expert enhanced coloured stochastic Petri net and its application in assembly/disassembly. International Journal of Production Research 41(12)/2003, 2727–2762.
  Google Scholar

Lee J., Korbaa O.: Modeling and scheduling of ratio-driven FMS using unfolding time Petri nets. Computers & Industrial Engineering 46(4)/2004, 639–653.
  Google Scholar

Tüysüz F., Kahraman C.: Modelling a flexible manufacturing cell using stochastic Petri nets with fuzzy parameters. Expert Systems with Applications 37(5)/2010, 3910–3920.
  Google Scholar

Vatani M., Doustmohammadi A.: Decomposition of first-order hybrid Petri nets for hierarchical control of manufacturing systems. Journal of Manufacturing Systems 35/2015, 206–214.
  Google Scholar

Villani E., Miyagi P.E., Valette R.: Modelling and analysis of hybrid supervisorysystems – a Petri net approach. Springer-Verlag, London 2007.
  Google Scholar

Wu N., Chu F., Chu C., Zhou M.: Hybrid Petri net modeling and schedulability analysis of high fusion point oil transportation under tank grouping strategy for crudeoil operations in refinery. IEEE Trans. Syst. Man. Cybern. 40(2)/2010, 159–75.
  Google Scholar

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Published
2017-12-21

Cited by

Rymarczyk, T. ., Kłosowski, G. ., & Cieplak, T. . (2017). THE USE OF PETRI NETS IN DECISION SUPPORT SYSTEMS BASED ON INTELLIGENT MULTIPLY SOURCE DATA ANALYSIS. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 7(4), 24–27. https://doi.org/10.5604/01.3001.0010.7246

Authors

Tomasz Rymarczyk 
tomasz.rymarczyk@netrix.com.pl
Research and Development Center, Netrix S.A., Lublin; University of Economics and Innovation in Lublin Poland

Authors

Grzegorz Kłosowski 

Lublin University of Technology, Faculty of Management, Department of Organization of Enterprise Poland

Authors

Tomasz Cieplak 

Lublin University of Technology, Faculty of Management, Department of Organization of Enterprise Poland

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