Detailed Information on Publication Record
2017
Decision Function Implementation in MAREA Simulations Influencing Financial Balance of Small-Sized Enterprise
ŠPERKA, Roman and Dominik MUSILBasic information
Original name
Decision Function Implementation in MAREA Simulations Influencing Financial Balance of Small-Sized Enterprise
Authors
ŠPERKA, Roman (703 Slovakia, belonging to the institution) and Dominik MUSIL (203 Czech Republic)
Edition
Switzerland, Smart Innovation, Systems and Technologies. Agent and Multi-Agent Systems: Technologies and Applications. p. 133-142, 10 pp. 2017
Publisher
Springer International Publishing AG
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
storage medium (CD, DVD, flash disk)
References:
RIV identification code
RIV/47813059:19520/17:00010797
Organization unit
School of Business Administration in Karvina
ISBN
978-3-319-59393-7
Keywords in English
Multi-agent system; Framework; Model; Simulation; Software; Business process; Trading; MAREA
Změněno: 7/2/2020 10:57, RNDr. Daniel Jakubík
Abstract
V originále
The aim of this paper is to present the use of a decision function in the implemen-tation 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 mathemati-cal description of a decision function, which is used to establish the price of trad-ed goods. Secondly, we present MAREA software framework and lastly we dis-cuss the simulation results of company dealing with retailing of fluorescence col-ours. The results obtained show that simulation experiments in MAREA could be used to support the decision-making process of a management of trading compa-nies in the scope of predicting key performance indicators and changes of param-eters and their impact on the company's financial balance.