| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Search the digital library catalog Help

Query: search in
search in
search in
search in
* old and bologna study programme


11 - 20 / 23
First pagePrevious page123Next pageLast page
Sugar beet production
Črtomir Rozman, Miroljub Kljajić, Karmen Pažek, 2015, original scientific article

Abstract: Background and Purpose: The sugar beet is the main field crop used for sugar production in the temperate climatic zone. Since investment in sugar beet industry are long term and ireversible the decision support and economic analysis are required in order to maximise investment returns. Methodology: A system dynamics methodology was chosen to model the impacts of regional sugar factory investments. We present the basic concepts of system dynamics (SD) models and their development in the case of sugar beet production and processing systems. Sugar beet economics are also analyzed using the static technological economic simulation model. Results: The simulation provides answers to strategic questions related to the total sugar beet production and processing system and will be used for the simulation of different scenarios for sugar production and their impact on economic and environmental parameters at an aggregate level. Furthermore, the feasibility analysis of sugar beet production revealed that at the current price and intensity levels (yields), we can expect profitable sugar beet production for both white sugar and ethanol. Conclusion: Preliminary results show that under expected production parameters the sugar beet processing and production would be economically feasible.
Keywords: sugar beet, modeling, system dynamics, economic feasibility
Published: 04.04.2017; Views: 780; Downloads: 143
.pdf Full text (533,79 KB)
This document has many files! More...

Hybridization of stochastic local search and genetic algorithm for human resource planning management
Andrej Škraba, Vladimir Stanovov, Eugene Semenkin, Davorin Kofjač, 2016, original scientific article

Abstract: Background and Purpose: The restructuring of human resources in an organization is addressed in this paper, because human resource planning is a crucial process in every organization. Here, a strict hierarchical structure of the organization is of concern here, for which a change in a particular class of the structure influences classes that follow it. Furthermore, a quick adaptation of the structure to the desired state is required, where oscillations in transitions between classes are not desired, because they slow down the process of adaptation. Therefore, optimization of such a structure is highly complex, and heuristic methods are needed to approach such problems to address them properly. Design/Methodology/Approach: The hierarchical human resources structure is modeled according to the principles of System Dynamics. Optimization of the structure is performed with an algorithm that combines stochastic local search and genetic algorithms. Results: The developed algorithm was tested on three scenarios; each scenario exhibits a different dynamic in achieving the desired state of the human resource structure. The results show that the developed algorithm has successfully optimized the model parameters to achieve the desired structure of human resources quickly. Conclusion: We have presented the mathematical model and optimization algorithm to tackle the restructuring of human resources for strict hierarchical organizations. With the developed algorithm, we have successfully achieved the desired organizational structure in all three cases, without the undesired oscillations in the transitions between classes and in the shortest possible time.
Keywords: stochastic local search, system dynamics, human resources, simulation
Published: 04.04.2017; Views: 541; Downloads: 265
.pdf Full text (474,90 KB)
This document has many files! More...

Big data for business ecosystem players
Igor Perko, Peter Ototsky, 2016, original scientific article

Abstract: In the provided research, some of the Big Data most prospective usage domains connect with distinguished player groups found in the business ecosystem. Literature analysis is used to identify the state of the art of Big Data related research in the major domains of its use—namely, individual marketing, health treatment, work opportunities, financial services, and security enforcement. System theory was used to identify business ecosystem major player types disrupted by Big Data: individuals, small and mid-sized enterprises, large organizations, information providers, and regulators. Relationships between the domains and players were explained through new Big Data opportunities and threats and by players’ responsive strategies. System dynamics was used to visualize relationships in the provided model.
Keywords: business ecosystems, Big Data, information providers, system dynamics
Published: 03.04.2017; Views: 532; Downloads: 285
.pdf Full text (544,68 KB)
This document has many files! More...

A methodology for improving strategic decisions in social systems with a lack of information
Carlos A. Legna Verna, Andrej Škraba, 2010, original scientific article

Abstract: The design of strategies for social systems requires the use of qualitative information owing to the fact that quantitative information can be insufficient to solve the problems involved. The information that the specialists and the decision makers obtain is often incomplete and unreliable. Nevertheless, leaders have to make strategic decisions despite these deficiencies which should be based on the formal models (Kljajić et al. 2000; Škraba et al, 2003; Škraba et al 2007). This paper describes a methodology elaborated to design the strategy of the city of Santa Cruz (on the Canary Islands). It has two main sections: the elaboration of a qualitative model and the use of System Dynamics. We combine them in a way that allows mixing qualitative and quantitative information to achieve a better understanding of the structure of the region, to know the tendencies of the present scenario and to estimate of the effects of alternative strategic decisions. We have obtained these results working with scarce quantitative information. This methodology may be applied to any social systems with similar characteristics.
Keywords: qualitative models, system dynamics, social strategies
Published: 10.07.2015; Views: 526; Downloads: 242
.pdf Full text (668,60 KB)
This document has many files! More...

System dynamics model for policy scenarios of organic farming development
Črtomir Rozman, Karmen Pažek, Jernej Prišenk, Andrej Škraba, Miroljub Kljajić, 2012, original scientific article

Abstract: This paper presents the system dynamics of organic farming development in order to support decision making. the model seeks answers to strategic questions related to the level of organically utilized area, levels of production and crop selection in long-term dynamic context. The model will be used for simulation of different policy scenarious for organic farming and their imapct on economic and developmental parameters of organic production atan aggregate level. Using the model, several policy scenarios were performed.
Keywords: organic farming, system dynamics, simulation, model
Published: 10.07.2015; Views: 1009; Downloads: 275
.pdf Full text (350,71 KB)
This document has many files! More...

Inventory cost consequences of variability demand process within a multi-echelon supply chain
Francisco Campuzano Bolarín, Andrej Lisec, Francisco Cruz Lario Esteban, 2008, original scientific article

Abstract: The bullwhip effect (Lee et al, 1997a) is a known supply chain phenomenon where small variations in end item demand create oscillations that amplify throughout the chain. Different price elasticity of demand influence different changes of demand when prices of items are changing on the time horizon. The variance of the orders at the end user placed on suppliers or on manufacturer increases with the orders flow upstream in the logistics chain. This creates harmful consequences in inventory levels and all kind of inventory costs that may affect added value of activities along the logistics chain and finally affect Net Present Value of all activities in the chain. Traditional model of dynamic supply chain structures is used for this particular study, based on the seminal work of Forrester Diagrams (Forrester 1961). Simulation platform for supply chain management at stochastic demand developed by Campuzano (2006) has been used. VENSIM Simulation Software was previously used for developing these supply chain dynamic models. In the development platform generalised supply chain models are constructed graphically and also analytically. Our study here is to get a dipper insight into the processes in a logistics chain, measuring the inventory cost consequences due to variability demand amplification.
Keywords: bullwhip effect, demand amplification, logistic chain, system dynamics
Published: 05.06.2012; Views: 976; Downloads: 30
URL Link to full text

Search done in 0.31 sec.
Back to top
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica