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Projects / Programmes source: ARIS

Integral multicriteria system for decision support in enterprise

Periods
Research activity

Code Science Field Subfield
5.04.00  Social sciences  Administrative and organisational sciences   
2.06.00  Engineering sciences and technologies  Systems and cybernetics   

Code Science Field
S189  Social sciences  Organizational science 
S190  Social sciences  Management of enterprises 
T121  Technological sciences  Signal processing 
P175  Natural sciences and mathematics  Informatics, systems theory 
Evaluation (rules)
source: COBISS
Researchers (24)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  16312  PhD Igor Bernik  Administrative and organisational sciences  Researcher  2001 - 2003  657 
2.  12240  MSc Iztok Bitenc  Computer science and informatics  Researcher  2001 - 2002  75 
3.  20764  PhD Uroš Breskvar  Administrative and organisational sciences  Researcher  2001 - 2003  41 
4.  15063  PhD Alenka Brezavšček  Administrative and organisational sciences  Researcher  2002 - 2003  245 
5.  01078  PhD Anton Čižman  Manufacturing technologies and systems  Researcher  2001 - 2003  269 
6.  03158  PhD Mirko Gradišar  Economics  Researcher  2003  826 
7.  02818  PhD Jože Gričar  Administrative and organisational sciences  Researcher  2001 - 2003  687 
8.  04697  Tatjana Hojan    Researcher  2001 - 2002  424 
9.  16251  PhD Eva Jereb  Administrative and organisational sciences  Researcher  2002 - 2003  767 
10.  08118  PhD Janez Jereb  Educational studies  Researcher  2001 - 2002  903 
11.  04067  PhD Jože Jesenko  Mathematics  Researcher  2001 - 2003  192 
12.  07381  PhD Jurij Jug  Educational studies  Researcher  2001 - 2003  435 
13.  01851  PhD Miroljub Kljajić  Systems and cybernetics  Head  2001 - 2003  776 
14.  22598  PhD Mirjana Kljajić Borštnar  Administrative and organisational sciences  Researcher  2002 - 2003  389 
15.  17083  PhD Gregor Lenart  Administrative and organisational sciences  Researcher  2001 - 2003  238 
16.  07112  PhD Robert Leskovar  Computer science and informatics  Researcher  2001 - 2003  692 
17.  15555  PhD Mateja Podlogar  Computer science and informatics  Researcher  2001 - 2003  111 
18.  16437  PhD Andreja Pucihar  Administrative and organisational sciences  Researcher  2001 - 2003  430 
19.  01074  PhD Vladislav Rajkovič  Computer science and informatics  Researcher  2001 - 2003  2,207 
20.  20934  PhD Blaž Rodič  Administrative and organisational sciences  Researcher  2001 - 2003  199 
21.  05906  MSc Aleksandra Serše  Historiography  Researcher  2001 - 2002  158 
22.  15694  PhD Andrej Škraba  Administrative and organisational sciences  Researcher  2001 - 2003  411 
23.  18514  PhD Neja Zupan  Computer science and informatics  Researcher  2002 - 2003  85 
24.  01340  PhD Jožef-Mihael Zupančič  Computer science and informatics  Researcher  2001 - 2003  452 
Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0586  University of Maribor, Faculty of Organizational Sciences  Kranj  5089638018  10,515 
Abstract
The goal of programme is the continuing development of an integrated simulation system for business decision support and the research of methodologies for determining the strategic business policy of a company utilising e-business practices. E-business is a modern business methodology of simultaneous cost-reduction in organisations and product/service improvement including shorter delivery times by using information technology. One of the important technologies of e-business is EDI – electronic data interchange – in all of the e-business' phases; data collecting, processing, storing, dispatching and the use of data. E-business enables us to organize our decision-making systems in a new way. A decision-making system is composed of three modules: the processes representing module, the scenario forming and formulation module and the simulation results analysis module. The processes module, designed according to the principles of discrete event simulation, will be added to the business processes module, which is designed according to the system dynamics principles. The basic idea of the integrated simulation model is the comprehensive connection of production, financial, logistical, marketing and information flows. The model will be constructed according to the VIM (visual interactive modelling) methodology that gives insight into the dynamic interaction between individual subsystems within the model. It also enables the manager to analyse the consequences of various business scenarios in a turbulent environment. We shall research the steps of determining important parameters for the preparation of business policy scenarios involving chosen criteria and goals with the method of group decision-making and the method of analytical process hierarchy (AHP). The task is conceived as a conflicting decision-making problem, where we are searching for a suitable decision for a given set of input parameters, and the decision should satisfy the chosen goals and prescribed criteria and preferences. Simulation scenarios are divided into two subsets: a subset of inputs that anticipate environment influence (exogenous scenarios) and the subset of management’s choices of various alternatives (endogenous scenarios). Evaluation criteria and business goals are set using the methodology of group decision-making support system (GSS) and the methodology of analytical process hierarchy (AHP). Group decision-making support systems enable participants in the decision-making process to creatively, independently and anonymously evaluate the importance of various decision variables. In such a way the participants take part in creation of the business model and business policy. During this process the decision-makers can at any time creatively participate in the forming of business policy, defining of success criteria and the variant selection. On every level a special meaning is given to the interpretation of received results. For this purpose we have developed the SIMLES simulation system, and by connecting it to the DEX expert system we can prepare scenarios for simulation model and choose a particular solution. The suggested concept includes »soft« and »hard« methodologies for creation and selection of a scenario. The software solution will be supported with artificial intelligence methods: expert system and automated learning procedures. A rang correlation of soft structured knowledge will be performed in the process of business policy formulation using simulation based solutions. Criteria will be presented with the major business success indicators: profit, ratios between various forms of assets and fund values, while respecting the technological limitations and demands. We intend to determine the sensitivity of the final selection to the tolerance function setting and the weight of various criteria of the utility function.
Most important scientific results Final report
Most important socioeconomically and culturally relevant results Final report
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