Projects / Programmes source: ARIS

Transportna logistika in rizični sistemi (Slovene)

January 1, 1999 - April 30, 2002
Research activity

Code Science Field Subfield
2.19.00  Engineering sciences and technologies  Traffic systems   
1.07.00  Natural sciences and mathematics  Computer intensive methods and applications   
5.04.00  Social sciences  Administrative and organisational sciences   

Code Science Field
T280  Technological sciences  Road transport technology 
P160  Natural sciences and mathematics  Statistics, operations research, programming, actuarial mathematics 
S182  Social sciences  Actuarial science 
T500  Technological sciences  Safety technology 
S189  Social sciences  Organizational science 
T136  Technological sciences  T136 
Evaluation (rules)
source: COBISS
Researchers (12)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  07799  PhD Marija Bogataj  Urbanism  Head  2001 - 2002  583 
2.  10418  PhD Ratimir Dovečar  Traffic systems  Researcher  2001 - 2002  126 
3.  11215  PhD Samo Drobne  Geodesy  Researcher  2001 - 2002  875 
4.  16158  MSc Daša Fabjan  Traffic systems  Researcher  2001 - 2002  103 
5.  16241  PhD Jurij Kolenc  Traffic systems  Researcher  2001 - 2002  346 
6.  18440  PhD Dejan Paliska  Traffic systems  Researcher  2001 - 2002  100 
7.  00861  PhD Marko Pavliha  Law  Researcher  2001 - 2002  1,031 
8.  15002  PhD Milojka Počuča  Economics  Researcher  2001 - 2002  277 
9.  20507  PhD Valerija Rogelj  Economics  Researcher  2001 - 2002  93 
10.  07301  PhD Igor Trupac  Traffic systems  Researcher  2001 - 2002  384 
11.  04528  PhD Janez Usenik  Interdisciplinary research  Researcher  2001 - 2002  445 
12.  06063  PhD Robert Vodopivec  Urbanism  Researcher  2001 - 2002  305 
Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0600  University of Ljubljana, Faculty of Maritime Studies and Transport  Portorož  1627015000  6,636 
In the logistic chains of Europe, especially in the last decade, the structure of costs was as follows: production costs participated with less than 10%, inventory costs on all stages of the supply chain have been 3 - times higher than production costs and transportation costs have been 6-times higher. In the globalization of the economies the modern world of risk and volatilities has evolved to the point, where we need more effective solutions. This is the reason why to put the attention on inventory and transportation control with better knowledge of risk management in logistic chains. The study of interaction between transportation networks and locations of activities has to be better understand and more effectively controled. Our papers are giving the answers how to improve the logistic chain mangement, using and improving operational research methods. In our studies various operating stages in the logistic chain (nodes of the chain) were presented by a simple model of material - transformation processing cell. In each cell the value is added and some costs appear. At each processing cell there is a supply and a demand and often both are stochastic by nature. Inventories are insurance against the risk of shortage of goods in each cell of logistic chain. They are limited by capacity of each processing node of the chain and transportation capability of input flow. Ordering the goods (input flow) in distribution centers were studied as a multiperiod, dynamic problem. The demand (output flow) during each period was considered as the stohastic variable which distribution is described with a certain probability function. Capacity planning in stochastic programming of logistic chains is suggested and supply chain coordination in spatial games was studied. Human resources are important factor in managing of the logistic chains. Optimization of the human resourrces in logistic chain management was studied having in mind the aging population and its influence on the cost of final consumption as well as on the spatial oligopoly position of supplier. GIS tools were studied to support the optimal decisions in public transport management. The interaction between location of activities and transportation networks has been broadly studied.
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