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Projects / Programmes source: ARIS

Sistemi za podporo v odločanju v elektronskem poslovanju (Slovene)

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
5.09  Social Sciences  Other social sciences 
Evaluation (rules)
source: COBISS
Researchers (17)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  11422  PhD Boštjan Gomišček  Control and care of the environment  Head  2010 - 2014  382 
2.  02818  PhD Jože Gričar  Administrative and organisational sciences  Researcher  2009 - 2012  687 
3.  12476  PhD Tomaž Kern  Computer science and informatics  Researcher  2010 - 2014  504 
4.  01851  PhD Miroljub Kljajić  Systems and cybernetics  Researcher  2009 - 2014  776 
5.  22598  PhD Mirjana Kljajić Borštnar  Administrative and organisational sciences  Researcher  2009 - 2014  389 
6.  28418  MSc Andrej Knaflič  Administrative and organisational sciences  Junior researcher  2009  17 
7.  23452  PhD Davorin Kofjač  Computer science and informatics  Researcher  2009 - 2014  351 
8.  07112  PhD Robert Leskovar  Computer science and informatics  Researcher  2009 - 2014  692 
9.  29803  PhD Matjaž Maletič  Administrative and organisational sciences  Researcher  2010 - 2014  334 
10.  16437  PhD Andreja Pucihar  Administrative and organisational sciences  Researcher  2010 - 2014  430 
11.  23262  PhD Uroš Rajkovič  Computer science and informatics  Researcher  2010 - 2014  485 
12.  01074  PhD Vladislav Rajkovič  Computer science and informatics  Researcher  2009 - 2014  2,207 
13.  20840  PhD Darja Rugelj  Sport  Researcher  2013 - 2014  619 
14.  05488  PhD France Sevšek  Medical sciences  Researcher  2013 - 2014  221 
15.  15694  PhD Andrej Škraba  Administrative and organisational sciences  Researcher  2009 - 2014  411 
16.  20007  PhD Olga Šušteršič  Public health (occupational safety)  Researcher  2009 - 2013  494 
17.  29915  PhD Anja Žnidaršič  Administrative and organisational sciences  Researcher  2013 - 2014  288 
Organisations (2)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0382  University of Ljubljana, Faculty of Health Sciences  LJUBLJANA  1627155  14,399 
2.  0586  University of Maribor, Faculty of Organizational Sciences  Kranj  5089638018  10,514 
Significance for science
Research program combines a simulation methodology with qualitative methods, expert systems into a new paradigm for decision support in ebusiness environemnt. This is new in the field of business simulation and decision theory. Combination of methods allows new insights on the relationship between heuristic and quantitative approach to solving business problems and decision-making processes. In the frame of this study we have defined the method of simulation system as a combination of system approach and simulation systems. The simulation system designed with a visual interactive modelling in relation with group support system, allows investigations of the group on the selection of decision strategy and analysis of the impact of learning in the decision-making process supported by the simulation model. Although classical optimization methods are well developed, they are not used in solving complex ill-structured problems. As a result, recently the so-called integrated methodology of problem solving are being developed, which are in fact "world view"! However, the gap between practice and hard system methodology is still present. The proposed methodological approach aims to overcome those steps. The aim is to develop a methodology and modify existing concepts of optimization into a single, comprehensive and useful methodology for practice. Thus, for example we expect that the results of learning groups using business simulation system with structured information extended to non-structural decision-making in the Web 2.0 environment and to contribute to the understanding and development of an effective information system to support learning and decision-making . The methodology was successfully used in a series of complex systems. Thus, adaptive algorithm of stock optimization in an uncertain environment uses the anticipative concept on the real case study for managing fluctuations and minimizing the cost of storage operations. Anticipation is done using a simulation model of storage that is supported by inventory control algorithms: subscribe to fixed intervals of time, SilverMeal, balancing the partial interval, the rule of minimum cost per unit of material and the algorithm with fuzzy logic, based on the number of soft cuts production, the maximum level of stocks and the total cost. Synthesis on the principle of optimization algorithm and fuzzy logic and Bellman dynamic programming has contributed to the development of an efficient information system for inventory control of the supply chain. Another example is a system approach for definition of control strategies in a hierarchical organizational system. It is modelled as an exponential delay chain using system dynamics methodology. The control strategy is defined according to the prescribed final state within the specified limits. Numerical optimization methods enabled us to identify appropriate control strategies. We have developed a causal model explaining learning of group in the course of problem solving, which is novel in the world. Multicriteria scheduling with genetic algorithms and visual simulation, together with the web based information system for dynamic allocation support of the production, considering resources condition, present a unique integrated approach to manufacturing software system for small and medium enterprises. Decision model for quality assurance in health care is based on the multicriteria hierarchical model for the health assessment of the patient, which is the basis for decision making of nurses in the process of setting diagnoses and interventions.
Significance for the country
The initial work program framework is based on the premise that the development of system simulation methods, especially in terms of a user-friendly applications, can improve the management of complex organizational and social systems. Relevant applications areas were as follows: sustainable development, ecology, human resources management, production management, health information systems in conjunction with the structures of e-solutions. Living Labs are speeding up the process of innovation and a culture of social cooperation in problems solving. Individual research findings from the previous period are useful for managing companies. We expect that some of the achievements can be even more beneficial to use in organizations to manage, control and redesign processes. Cooperation with industrial partners and state administration in the past research program promises further fruitful research. The developed methods and software solutions were successfully implemented in some domestic enterprises and organizations, for example: Gorenje dd , Letrika dd, Elektro Gorenjska dd, Geoplin, d.o.o., DataLab d.o.o., Algit d.o.o., Arctur d.o.o., and state administration: Ministry of Health , Ministry of Defence. Furthermore, the program contributes to cooperation and transfer of knowledge in the local, regional and global level: • International Scientific Conferences: "Bled eConference" (since 1988) brings together leading global experts (researchers and industry) in the field of e-business; "International Conference on Organizational Science Development" in Portorož (since 1981). • Sections on "SimulationBased Decision Support" within international scientific conferences "InterSymp”, “EUROINFORS” and “QMOD 2013”. • ALADIN network: Interuniversity cooperation in research and education in ebusiness (University of Graz, University of Maribor, University of Rijeka, University of Trieste, University of Novi Sad). • eLiving Lab (member of Eurpean Network of Living Labs since 2007). The research program enabled integration of domestic economy focusing on SMEs in regional and global operations; improve processes of planning and decision-making; assess implications of decisionmaking; reduce operating costs and increase quality; innovative products and services development; business models innovations; increase competitive advantage of enterprises; management of quality products and services; education and training of personnel; transfer new knowledge in curricula. The common ground of the research is in electronic data exchange, information systems and decision support methodology. Flow of ideas and experiences from different areas flow between group the members, thus contributing to the development of a soft systems methodology that is suitable for rational approaches in management. Research group is expected to have a positive impact on the design and development of new services, which will contribute to a more innovative society.
Most important scientific results Annual report 2009, 2010, 2011, 2012, 2013, final report, complete report on dLib.si
Most important socioeconomically and culturally relevant results Annual report 2009, 2010, 2011, 2012, 2013, final report, complete report on dLib.si
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