nach oben

Erschienen in:

2017 | OriginalPaper | Buchkapitel

Decision Function Implementation in MAREA Simulations Influencing Financial Balance of Small-Sized Enterprise

verfasst von : Roman Šperka, Dominik Musil

Erschienen in: Agent and Multi-Agent Systems: Technology and Applications

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The aim of this paper is to present the use of a decision function in the implementation of a multi-agent simulation model of a small-sized enterprise dealing with trading. The subject of the presented research are simulation experiments in MAREA software framework, which was designed to simulate trading behaviour of a trading company. Firstly, we present a multi-agent system and a mathematical description of a decision function, which is used to establish the price of traded goods. Secondly, we present MAREA software framework and lastly we discuss the simulation results of company dealing with retailing of fluorescence colours. The results obtained show that simulation experiments in MAREA could be used to support the decision-making process of a management of trading companies in the scope of predicting key performance indicators and changes of parameters and their impact on the company’s financial balance.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Communication and Autonomous Control of Multi-UAV System in Disaster Response Tasks

Nächstes Kapitel Application of I-Fuzzy Approach to Prediction of Blockability Values in Real-World Data

Suchanek, P., Vymetal, D.: Security and disturbances in e-commerce systems. In: Proceedings of the 10th International Conference Liberec Economic Forum 2011 (2011). ISBN: 978-80-7372-755-0

Gries, M., Kulkarni, Ch., Sauer, Ch., Keutzer, K.: Comparing Analytical Modeling with Simulation for Network Processors: A Case Study. University of California, Berkeley; Infineon Technologies, Corporate Research, Munich (2011). https://pdfs.semanticscholar.org/83a4/bc3623b74c360512224cb8227bb1dbfd3d51.pdf. Accessed 13 Sep 2016

Liu, Y., Trivedi, K.S.: Survivability Quantification: The Analytical Modeling Approach. Department of Electrical and Computer Engineering. Duke University, USA, Durham. http://people.ee.duke.edu/~kst/surv/IoJP.pdf. Accessed 21 Jan 2016

Macal, C.M., North, M.J.: Tutorial on agent-based modeling and simulation. In: Proceedings of the Winter Simulation Conference, pp. 2–15 (2005)

Scheer, A.-W., Nüttgens, M.: ARIS architecture and reference models for business process management. In: van der Aalst, W., Desel, J., Oberweis, A. (eds.) Business Process Management. LNCS, vol. 1806, pp. 376–389. Springer, Heidelberg (2000). doi:10.1007/3-540-45594-9_24 CrossRef

Sierhuis, M.: Modeling and simulating work practice. Ph.D. thesis, University of Amsterdam (2001)

Barnett, M.: Modeling & Simulation in Business Process Management. Gensym Corporation, pp. 6–7 (2003). http://w.businessprocesstrends.com/publicationfiles/11-03%20WP%20Mod%20Simulation%20of%20BPM%20-%20Barnett-1.pdf. Accessed 21 Jan 2016

Vymetal, D., Sperka, R.: Virtual company simulation for distance learning. In: Proceedings of the Distance Learning Simulation and Communication Conference, Brno, Czech Republic (2013). ISBN: 978-80-7231-919-0

Sharma, S., Sharma, J., Devi, A.: Corporate social responsibility: the key role of human resource management. Bus. Intell. J. 2, 205–213 (2009). http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.514.7758&rep=rep1&type=pdf. Accessed 13 Sep 2016

10.

Vymetal, D., Sperka, R.: MAREA - from an agent simulation application to the social network analysis. Procedia Comput. Sci. 35, 1416–1425 (2014). doi:10.1016/j.procs.2014.08.198. Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference – KES 2014, Gdynia, PolandCrossRef

11.

Vymětal, D., Spišák, M., Šperka, R.: An influence of random number generation function to multiagent systems. In: Jezic, G., Kusek, M., Nguyen, N.-T., Howlett, R.J., Jain, L.C. (eds.) KES-AMSTA 2012. LNCS(LNAI), vol. 7327, pp. 340–349. Springer, Heidelberg (2012). doi:10.1007/978-3-642-30947-2_38 CrossRef

12.

Spisak, M., Sperka, R.: Financial market simulation based on intelligent agents - case study. J. Appl. Econ. Sci. VI 3(17), 249–256 (2011). http://www.jaes.reprograph.ro/articles/winter2011/JAES_Fall_2011_online.pdf. Accessed 13 Sep 2016. Romania, Print ISSN: 1843-6110

13.

Šperka, R., Spišák, M.: Transaction costs influence on the stability of financial market: agent-based simulation. J. Bus. Econ. Manag. 14(Suppl. 1), S1–S12 (2013). doi:10.3846/16111699.2012.701227. Taylor & Francis, United Kingdom, London. Print ISSN: 1611-1699

14.

Šperka, R., Vymětal, D.: MAREA - an education application for trading company simulation based on REA principles. In: Proceedings of the Information, Communication and Education Application, ICEA 2013. Advances in Education Research, vol. 30, Hong Kong, China, 1–2 November 2013, pp. 140–147. Information Engineering Research Institute (IERI), Delaware (2013). ISBN: 978-1-61275-056-9

15.

Foundation for Intelligent Physical Agents, FIPA: FIPA Contract Net Interaction Protocol. In Specification (2002). http://www.fipa.org/specs/fipa00029/SC00029H.html. Accessed 21 Jan 2016

16.

Vymětal, D., Scheller, C.: MAREA: multi-agent REA-Based business process simulation framework. In: Proceedings of the International Scientific Conference ICT for Competitiveness, pp. 301–310. OPF SU, Karviná (2012). ISBN: 978-80-7248-731-8

Titel: Decision Function Implementation in MAREA Simulations Influencing Financial Balance of Small-Sized Enterprise
verfasst von: Roman Šperka
Dominik Musil
Verlag: Springer International Publishing
Buch: Agent and Multi-Agent Systems: Technology and Applications
Print ISBN: 978-3-319-59393-7

Electronic ISBN: 978-3-319-59394-4

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-59394-4_13

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"