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Abstract: The study of commuting behavior at the University of Maribor (UM) was the subject of our research, which focused on the building complex of the four technical faculties (BCTF) and was based on the analysis of two questionnaire surveys (with 1057 and 462 respondents, respectively) and the transport policies implemented at the study site from 2010 to 2020. The research aimed to identify the factors influencing student and staff mode choice/shift over a decade period and to understand the weaknesses, strengths, and opportunities for improving sustainable mobility at the university. Since 2010, active commuting has predominated among students, while car use has decreased by 22%. Female students were 16% more likely to walk than their peers, while male students were 5% and 12% more likely to use bicycles and cars, respectively. Active commuting and car use by staff have not changed since 2010, and there was an insignificant difference between genders, 63% of whom used cars. Mode shifts were primarily related to trip origins, subsidization of bus use, availability or unavailability of free parking, and parking fees. Questionnaire responses were a powerful tool for finding the most effective interventions to manage transport at universities. The results also suggest that transport policies can be more effective if they are planned in coordination with housing policies.
Keywords: sustainable commuting, travel behavior, modal choice, active transport, effective interventions, transport demand management, university
Published in DKUM: 14.03.2025; Views: 0; Downloads: 0
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Abstract: The printing company’s process performance depends on the possibility of providing requested products and managing the existing constraints of fixed machine layouts and high setup times between different products. Process inefficiencies caused by these factors reflect on throughput, production times, and resource utilization. The changes that improve one part of the production system usually affect other parts, needing additional optimization, and it is very useful to test the feasibility of proposed solutions with simulation before implementation. This paper presents a new algorithm for continuous improvement of enterprises performance, combining the lean approach with cellular manufacturing, and simulation. The performance is observed in a way that a certain setup influences the system in its entirety, rather than on a specific part of that system. The results are presented through models developed within the production optimization phase, representing various ways in which the continuous improvement algorithm can unfold. Each of them comes with its advantages and disadvantages, all intending to create more efficient production processes that generate less production waste.
Keywords: printing process, lean management, product groups, manufacturing cells, simulation, continuous improvement
Published in DKUM: 10.03.2025; Views: 0; Downloads: 2
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Abstract: Prompt administration of radiotherapy (RT) is one of the most effective treatments against cancer. Eachday, the radiotherapy departments of large hospitals must plan numerous irradiation sessions, con-sidering the availability of human and material resources, such as healthcare professionals and linearaccelerators. With the increasing number of patients suffering from different types of cancers, manuallyestablishing schedules following each patient’s treatment protocols has become an extremely difficultand time-consuming task. We propose an optimization algorithm that automatically schedules andgenerates patient appointments. The model can rearrange fixed appointments to accommodate urgentcases, enabling hospitals to schedule appointments more efficiently. It respects the different treatment Prompt administration of radiotherapy (RT) is one of the most effective treatments against cancer. Eachday, the radiotherapy departments of large hospitals must plan numerous irradiation sessions, con-sidering the availability of human and material resources, such as healthcare professionals and linearaccelerators. With the increasing number of patients suffering from different types of cancers, manuallyestablishing schedules following each patient’s treatment protocols has become an extremely difficultand time-consuming task. We propose an optimization algorithm that automatically schedules andgenerates patient appointments. The model can rearrange fixed appointments to accommodate urgentcases, enabling hospitals to schedule appointments more efficiently. It respects the different treatment.
Keywords: appointments, hospital management, optimization algorithm, patient satisfaction, planning, radiotherapy
Published in DKUM: 25.02.2025; Views: 0; Downloads: 7
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Abstract: Measuring the performance of information security is an essential part of the information security management system within organisations. Studies in the past mainly focused on establishing qualitative measurement approaches. Since these can lead to ambiguous conclusions, quantitative metrics are being increasingly proposed as a useful alternative. Nevertheless, the literature on quantitative approaches remains scarce. Thus, studies on the evaluation of information security performance are challenging, especially since many approaches are not tested in organisational settings. The paper aims to validate the model used for evaluating the performance of information security management system through a multidimensional socio-technical approach, in a real-world settings among medium-sized enterprises in Slovenia. The results indicate that information security is strategically defined and compliant, however, measures are primarily implemented at technical and operational levels, while its strategic management remains underdeveloped. We found that the biggest issues are related to information resources and risk management, where information security measurement-related activities proved to be particularly problematic. Even though enterprises do possess certain information security capabilities and are aware of the importance of information security, their current practices make it difficult for them to keep up with the fast-paced technological and security trends.
Keywords: information security, information security management, organisations, qualitative measurement
Published in DKUM: 07.02.2025; Views: 0; Downloads: 4
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Abstract: In this paper, the quality of the municipal waste sorting process in seven waste management centers in Slovenia was assessed using the qualitative multicriteria analysis (MCA) method DEX (Decision EXpert) implemented in DEXi software, which is based on multicriteria decomposition of the problem and utility functions in the form of ʺif-thenʺ decision rules. The study was based on eight types of secondary raw materials. The quality of the secondary raw materials, the regularity of the delivery of secondary raw materials to recycling units based on the sorting efficiency, and the loading weight of the individual baled fractions in the transport of secondary raw materials for recycling were the main parameters used in the model. The final assessment shows good waste management service in centers A and D. Centers B, C, and F were rated ʺaverageʺ. The ʺbadʺ rating was assigned to centers E and G.
Keywords: waste sorting, quality management, multicriteria decision analysis, expert system DEXi
Published in DKUM: 03.02.2025; Views: 0; Downloads: 3
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