Projects / Programmes
Integral multicriteria system for decision support in enterprise
January 1, 1999
- December 31, 2003
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 |
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 |
427 |
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)
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