1. Simulation-based modelling of migration flows on the Balkan route : a contribution to the development of European migration policiesIgor Bernik, Blaž Rodič, 2025, original scientific article Abstract: Migration flows along the Balkan Route since 2015 have revealed structural weaknesses in the European Union’s migration governance and highlighted the need for new, evidence-based approaches. This paper presents the MIG@B project, which develops an integrated simulation model of migration by combining agent-based modelling (ABM), system dynamics (SD), and discrete-event simulation (DES), supported by Bayesian methods for managing uncertainty. The model addresses both micro-level decision-making among migrants and macro-level feedback loops between policies and public opinion, as well as operational challenges related to border flows and asylum capacities. The approach contributes to the design of coordinated and sustainable EU and Slovenian migration policies, aligning with the New Pact on Migration and Asylum [1] and Slovenia’s Migration Strategy 2023–2030 [2]. The expected contribution is threefold: scientific innovation through methodological integration, political usability by providing scenario-based testing of policy measures, and normative relevance through alignment with European solidarity and human rights values. The MIG@B framework exemplifies how simulation modelling can serve as a laboratory for migration policy, enabling transparent, robust, and data-driven decision-making.
Keywords: migration, simulation models, Balkan route, European Union, policy design
Published in DKUM: 13.10.2025; Views: 0; Downloads: 5
 Full text (920,21 KB) |
2. Simulation-based study of structural changes in electrical time-series signalsLuka Živković, Željko Hederić, Tin Benšić, Goran Kurtović, Marinko Stojkov, 2025, original scientific article Abstract: his paper uses statistical indicators to address the detection of changes in electrical signals typical of industrial and power systems. A dedicated MATLAB algorithm was developed to identify change points by tracking shifts in signal behaviour and statistical properties. To evaluate the method, synthetic signals were generated through simulation to reproduce the common patterns observed in these systems, allowing testing under different operating conditions and varying noise levels. The results demonstrate that the algorithm detects change points reliably across multiple scenarios, showing flexibility and robustness. This study highlights the value of simulation-based signal generation as a controlled environment for testing detection methods. It provides a foundation for future applications to more complex real-world electrical signal analysis tasks.
Keywords: break points, energy system, noise, segmentation, signals, simulation, time series
Published in DKUM: 01.10.2025; Views: 0; Downloads: 1
 Link to file |
3. Towards digital twinning of electrical motors – simulation modelsGoran Kurtović, Luka Živković, Tin Benšić, Željko Hederić, Marinko Stojkov, 2025, original scientific article Abstract: This paper presents a methodological framework for building a digital shadow of an induction motor based on standardised tests and a two‑axis (dq) simulation model. The tests were carried out according to IEEE Std 112 and IEC 60034‑2‑1. The parameters of the equivalent circuit were identified and entered into the model. Validation was performed by comparing the torque–speed and current–speed curves at 180 V and 220 V, while the nominal behaviour at 400 V was estimated using the model and voltage scaling. The model was then calibrated to reduce the discrepancy between the simulation and measurements, and the error was quantified using the root‑mean‑square error (RMSE) and mean absolute percentage error (MAPE). An automated load‑simulation setup that reproduces the torque test is also presented, enabling rapid evaluation of parameter influence. The results show a very good match in the current channel, with larger deviations in the prediction of characteristic torque points, indicating the limitations of linearised parameters and motivating nonlinear model extensions. The approach enables summarised reliable estimates at nominal voltage when direct measurements are not feasible.
Keywords: induction motor, digital shadow, standardised tests, dq model, torque test, automated load simulation, model calibration
Published in DKUM: 01.10.2025; Views: 0; Downloads: 2
Full text (624,48 KB)
This document has many files! More... |
4. Integrating simulation modelling for sustainable, human-centred Industry 5.0: ESG-based evaluation in collaborative workplacesRobert Ojsteršek, Aljaž Javernik, Borut Buchmeister, 2024, original scientific article Abstract: This research explores the role of simulation modelling in the development of human-centred, sustainable manufacturing processes in the context of Industry 5.0. We analyse collaborative workplaces where humans and collaborative robots (CR) work together, emphasizing the environmental, social, and governance (ESG) criteria. The research work focuses on how personalized CR parameters and optimized work environments contribute to improved productivity, well-being, and sustainability. Through simulations, the paper evaluates the operational efficiency of both manual assembly and human-robot collaborative (HRC) setups, providing insight into the economic, environmental, and social impacts of Industry 5.0 manufacturing systems. The results show significant improvements in sustainability, productivity, and worker well-being achieved through adaptive CR integration and ESG-driven engineering practices.
Keywords: human-centred manufacturing, simulation modelling, sustainability – ESG, industry 5.0, collaborative workplace, human-robot interaction, assembly process
Published in DKUM: 28.08.2025; Views: 0; Downloads: 3
Full text (1,09 MB)
This document has many files! More... |
5. Understanding determinants of management simulation games adoption in higher educational institutions using an integrated technology acceptance model/technology–organisation–environment model : educator perspectiveMirjana Pejić Bach, Maja Meško, Ana-Marija Stjepić, Sarwar Khawaja, Fayyaz Hussain Quershi, 2025, original scientific article Abstract: Background and Methods: A primary survey of a multi-national sample of
higher institutional educators has been conducted to investigate the determinants of the
adoption of management simulation games. The research model is developed based on
the technology acceptance model (TAM) and technology–organisation–environment (TOE).
Structural equation modelling has been used to test the research model. The paper focuses
on the use of management simulation games among educators in higher educational
institutions (HEIs). Its purpose is to determine the factors influencing educators’ use of
these games from both individual and institutional perspectives. The TAM captures the
individual perspective, while the TOE framework addresses the institutional perspective.
The structural equation model confirmed most of the TAM hypotheses. Results: However,
the model does not support the hypotheses regarding the relationship between perceived
ease of use and attitude toward usage or between perceived ease of use and perceived
usefulness. The technological factors within the TOE framework did not significantly
impact perceived usefulness, only perceived ease of use. Conclusion: The combined TAMTOE model has demonstrated valid representativeness. Previous research on the usage of
management simulation games has primarily focused on students, neglecting the broader
perspective of educators in HEIs in business and economics within both the TAM and
TOE frameworks.
Keywords: management simulation games, TAM, TOE structural equation modelling, intention to use, adoption
Published in DKUM: 26.08.2025; Views: 0; Downloads: 3
Full text (958,84 KB)
This document has many files! More... |
6. A new logistic regression approach for the identification of factors affecting the partition of costs and risk in the international tradeMarjan Sternad, Dejan Dragan, 2024, original scientific article Abstract: Background: The selection of the right Incoterms is crucial for minimising risks and costs in international trade. This paper aims to develop a model that identifies the key factors influencing the selection of Incoterms. The main contribution of the research is the creation of a new statistical modelling process that effectively identifies the variables impacting trade costs and risk. The study uses import and export data from non-EU countries in the context of a Slovenian case study. Methods: A novel model selection mechanism is developed, combining the logistic regression (logit) modelling with Monte Carlo simulations to identify influential factors in Incoterms selection. This mechanism incorporates heuristic techniques, which guide a sequential process of gradually searching through logit model candidates to determine the bestfit model for both import and export scenarios. Results: The application of the new logit modelling procedure reveals that the delivery location is the most significant factor affecting Incoterms selection. Additionally, the value of goods and the type of transport (containerised vs. noncontainerised) also have a considerable influence. For imports, the mass of goods is found to be a significant factor as well. Conclusions: The research results offer valuable insights for companies formulating their international business strategies. By selecting the appropriate Incoterm, companies can reduce transportation risks and costs. Managing costs and risks is especially important for higher-value goods. The research finds that, for lower-value goods, sellers often take on associated costs and risks. This pattern is particularly notable with imports, where sellers are more likely to assume responsibility for lighter-weight goods.
Keywords: international trade, Incoterms, Incoterms selection, logit regression, Monte Carlo simulation
Published in DKUM: 22.07.2025; Views: 0; Downloads: 1
Full text (1,41 MB)
This document has many files! More... |
7. Gamified learning for sustainability : an innovative approach to enhance hydrogen literacy and environmental awareness through simulation-based educationUroš Kramar, Matjaž Knez, 2025, original scientific article Abstract: The transition to sustainable energy systems presents a critical challenge for the 21st century, necessitating both technological advancements and transformative educational strategies to foster awareness and knowledge. Hydrogen technologies are pivotal for decarbonization, yet public understanding and acceptance remain limited. This study introduces and evaluates a novel gamified educational framework, uniquely integrating simulationbased learning, collaborative problem-solving, and adaptive instructional scaffolding to enhance hydrogen literacy and sustainability awareness. Unlike traditional pedagogical approaches, this method actively engages learners in real-world decision-making scenarios, bridging the gap between theoretical knowledge and practical applications. This study involved adolescents aged 13–15 from two distinct educational and cultural contexts, one in Europe and one in the Middle East. A pre–post study design assessed knowledge acquisition, gamification engagement, and environmental awareness shifts. Findings reveal statistically significant improvements in technical knowledge and strong positive perceptions of gamified learning as an effective sustainability education tool across both cultural groups (Europe and the Middle East). Variations in engagement across cultural contexts suggest the need for adaptive, context-sensitive educational frameworks. While the findings indicate significant short-term knowledge gains, this study does not assess long-term knowledge retention, which remains an important area for future research. This research contributes to sustainability education by demonstrating how strategically designed gamification can foster behavioral engagement, enhance environmental literacy, and support the global energy transition agenda. This study offers a pioneering perspective on integrating interactive learning methodologies to cultivate sustainability competencies among younger generations.
Keywords: sustainability education, gamification, hydrogen literacy, energy transition, simulation-based learning, hydrogen supply chain, environmental awareness, cross-cultural education, educational innovation, serious games
Published in DKUM: 01.07.2025; Views: 0; Downloads: 3
Full text (1,15 MB)
This document has many files! More... |
8. Development of cyber security platform for experiential learningAbhishek Vaish, Ravindra Kumar, Samo Bobek, Simona Sternad Zabukovšek, 2024, original scientific article Abstract: The cyber security education market has grown-up exponentially, with a CAGR of 13.9 % as reported by Data Intelo. The report published by the World Economic Fo- rum 2023 indicates a shortfall of 2.27 million cyber security experts in 2021 across different roles and hence manifest that Skill-based cyber security education is the need of the hour. Cybersecurity as a field has evolved as a multi-discipline, multistakeholder and multi-role discipline. Therefore, the need to address formal education with an outcomebased philosophy is imperative to address for a wider audience with varied past training in their formal education. With the Internet becoming an essential part of human life, providing security of data passed over the Internet is becoming increasingly crucial. Therefore, the role in the organization which is quite demanding is to have expertise in handling and configuring network security, a subdomain of cyber security as a priority area. The rapid increase in the network attack landscape is constantly demanding monitoring of network attacks as well as a need to promote collaborative R&D and education in the sphere of cyber security due to a shortage of skilled resources. Platform-based education is a potential direction to achieve the objective and address the skill gap required in cyber security. The present research proposes a comprehensive web-based platform that can be used to communicate, collaborate and practice various use cases in the domain of network intrusion detection tools using machine learning algorithms and to evaluate user experience. The proposed platform CySecLearn is a collection of various functionalities and features that ensures experiential learning, will help the learner to develop critical thinking and expertise in network security and promote digital literacy in the domain of cyber security.
Keywords: digital education, cyber security, platformization, online simulation, user feedback, experiential learning
Published in DKUM: 30.06.2025; Views: 0; Downloads: 23
Full text (1,66 MB)
This document has many files! More... |
9. Advancing nanofluid numerical modelling: A novel Euler–Lagrange method with experimental validationNejc Vovk, Blaž Kamenik, Elif Begum Elcioglu, Erdem Ozyurt, Ziya Haktan Karadeniz, Alpaslan Turgut, Jure Ravnik, 2025, original scientific article Abstract: We present a novel approach to numerical modelling of thermal nanofluids based on the Euler–Lagrange method. This approach overcomes the challenge of extremely fine temporal discretization, which previous Euler–Lagrange nanofluid numerical models struggled to address, while also avoiding the need for too many Lagrangian nanoparticles. A numerical uncertainty assessment method is adapted for the proposed approach. The model is validated with a simple verification case and applied to simulate a closed natural circulation loop heat exchanger operating with heating power ranging from 10 W to 50 W and nanoparticle volume fractions of 0.5% to 2%, using an Al2O3–water nanofluid. Results are compared with experimental temperature measurements and an Euler–Euler implementation of the same nanofluid. The model is also applied to simulate the natural convection inside a vertical enclosure, studied experimentally by other authors. The proposed novel approach demonstrates agreement with both experimental data and the Euler–Euler implementation, effectively capturing the overall behaviour of nanofluids. We establish, that the interplay of multiple transport phenomena, that occur in nanofluid operated devices, can be difficult to completely reproduce numerically within the framework of current modelling assumptions.
Keywords: Euler–Lagrange nanofluid modelling, numerical uncertainty assessment, natural convection loop simulation, nanoparticle concentration analysis, nanofluid heat transfer
Published in DKUM: 17.06.2025; Views: 0; Downloads: 7
Full text (3,33 MB)
This document has many files! More... |
10. Selection procedure of the approximation methods for deriving priorities : a case of inconsistent pairwise comparisonsVesna Čančer, 2024, original scientific article Abstract: Background:When pairwise comparisons are used to express preferences foralternatives or judgments on criteria's importance, several methods can be used to derive priorities in multi-criteria decision-making. In the case of inconsistency, different methods give different results. Objectives:The main goal of this paper is to present the procedure of measuring the accuracy of the selected approximation methods based on pairwise comparisons compared to the priorities obtained by the eigenvalue method. It also aims toillustrate the procedure onthe numerical example characterisedby acceptable inconsistency.Methods/Approach:The presented procedure is based on a prescriptive approach, the fixed ratio scale, reciprocal pairwise comparison matrices,and consistency ratio.Mean absolute deviation and mean absolute percentage deviation are used to measureaccuracy.Results:The first result is the theoretical statement of the priorities’ accuracy measurement procedure. The results of the numerical example characterisedbythe preferencesof strength slight to strong plus show that,on average, the most accurate approximation method is the geometric mean method. Conclusions:The research contributes to the literatureonprescriptive approaches to decision-making. The results can show potential users which approximation method to use and lecturers which of them to include in the curriculum portfolio.
Keywords: accuracy, analytic hierarchy process, approximation method, pairwise comparisons, priority, simulation
Published in DKUM: 09.05.2025; Views: 0; Downloads: 9
Full text (379,79 KB)
This document has many files! More... |
