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2. Active BIM system for optimized multi-project ready-mix-concrete deliveryHana Begić, Mario Galić, Uroš Klanšek, 2024, izvirni znanstveni članek Opis: Purpose – Ready-mix concrete delivery problem (RMCDP), a specific version of the vehicle routing problem (VRP), is a relevant supply-chain engineering task for construction management with various formulations and solving methods. This problem can range from a simple scenario involving one source, one material and one destination to a more challenging and complex case involving multiple sources, multiple materials and multiple destinations. This paper presents an Internet of Things (IoT)-supported active building information modeling (BIM) system for optimized multi-project ready-mix concrete (RMC) delivery. Design/methodology/approach – The presented system is BIM-based, IoT supported, dynamic and automatic input/output exchange to provide an optimal delivery program for multi-project ready-mix-concrete problem. The input parameters are extracted as real-time map-supported IoT data and transferred to the system via an application programming interface (API) into a mixed-integer linear programming (MILP) optimization model developed to perform the optimization. The obtained optimization results are further integrated into BIM by conventional project management tools. To demonstrate the features of the suggested system, an RMCDP example was applied to solve that included four building sites, seven eligible concrete plants and three necessary RMC mixtures. Findings – The system provides the optimum delivery schedule for multiple RMCs to multiple construction sites, as well as the optimum RMC quantities to be delivered, the quantities from each concrete plant that must be supplied, the best delivery routes, the optimum execution times for each construction site, and the total minimal costs, while also assuring the dynamic transfer of the optimized results back into the portfolio of multiple BIM projects. The system can generate as many solutions as needed by updating the real-time input parameters in terms of change of the routes, unit prices and availability of concrete plants. Originality/value – The suggested system allows dynamic adjustments during the optimization process, andis adaptable to changes in input data also considering the real-time input data. The system is based on spreadsheets, which are widely used and common tool that most stakeholders already utilize daily, while also providing the possibility to apply a more specialized tool. Based on this, the RMCDP can be solved using both conventional and advanced optimization software, enabling the system to handle even large-scale tasks as necessary.
Ključne besede: active building information modeling, BIM, internet of things, IoT, multi-project environment, optimization, ready-mix-concrete delivery, RMC
Objavljeno v DKUM: 11.09.2024; Ogledov: 32; Prenosov: 9
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3. Towards productive and ergonomic order picking : multi-objective modeling approachBrigita Gajšek, Simona Šinko, Tomaž Kramberger, Marcin Butlewski, Eren Özceylan, Goran Đukić, 2021, izvirni znanstveni članek Opis: The logistics sector should strive for sustainability alongside productivity by protecting its order pickers' health and welfare. Existing storage assignment models are mainly based on the criterion of order picking time and, to a lesser extent, the human factor. In the paper, a solution to a storage assignment problem using a multi-objective model based on binary integer linear programing is presented by developing a solution that considers order picking time, energy expenditure and health risk. The Ovako Working Posture Assessment System (OWAS) method was used for health risk assessment. The downside of solely health risk-optimization is that the average order picking time increases by approximately 33 % compared to solely time-optimization. Contrary to this, the developed multi-objective function emphasizing time has proven to be promising in finding a compromise between the optimal order picking time and eliminating work situations with a very-high risk for injuries. Its use increases the time by only 3.8 % compared to solely time-optimization while significantly reducing health risk.
Ključne besede: productivity, energy expenditure, order picking, order picking system, health risk, OWAS, multi-objective modeling, planning, logistics, ergonomics
Objavljeno v DKUM: 13.08.2024; Ogledov: 109; Prenosov: 10
Celotno besedilo (3,63 MB)
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4. Has the COVID-19 pandemic affected mathematics achievement? : a case study of university students in social sciencesAnja Žnidaršič, Alenka Brezavšček, Gregor Rus, Janja Jerebic, 2022, izvirni znanstveni članek Opis: This study examines the effects of COVID-19-related measures on the mathematics achievement of university students in social sciences in Slovenia. Our particular concern was to compare two student populations (pre-pandemic and pandemic) in terms of factors affecting student performance in mathematics courses. Data were collected over nine consecutive academic years (from 2013–2014 to 2020–2021) and analyzed using two-stage structural equation modelling (SEM). The analyses confirmed that the conceptual model developed before the pandemic was applicable during the pandemic period. For both populations (pre-pandemic and pandemic), mathematics confidence, perceived level of math anxiety, background knowledge from secondary school, and self-engagement in mathematics courses at university were confirmed as factors influencing mathematics achievement. Moreover, both populations perceived the effects of the factors in the same way, and the magnitude of the effects is comparable. The rather high values of determination coefficient for mathematics achievement (greater than 0.66 for both student populations) indicate that the variables “Perceived Level of Math Anxiety” and “Self-Engagement in Mathematics Course at University” together explain a significant proportion of the total variance before and during the pandemic. Consequently, the results of our case study indicated that pandemic measures did not have a significant impact on our students’ mathematics achievement. Although a more in-depth study of a broader sample of academic courses would be needed to confirm our findings, our experience indicates that mathematics courses at the tertiary level of education can be successfully delivered online.
Ključne besede: COVID-19, mathematics achievement, university students, social sciences, pre-pandemic population, pandemic population, comparison, multi-group structural equation modeling (MG-SEM)
Objavljeno v DKUM: 09.07.2024; Ogledov: 112; Prenosov: 11
Celotno besedilo (1,64 MB)
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5. Multi attribute decision model for orchard renewal - case study in Bosnia and HerzegovinaKarmen Pažek, Črtomir Rozman, Ferhat Ćejvanović, Andreja Borec, Darja Majkovič, Vjekoslav Par, Jernej Turk, 2005, izvirni znanstveni članek Opis: The fruit production in Bosnia and Herzegovina (BIH) is slowly returning to normality after Balkan wars. Due to favorable climatic and soil conditions it presents a clear business opportunity for family farms. The decision which fruit species/variety to grow is a complex decision and should be made on the basis of sound empirical analysis. This paper present a multi criteria model for planning and decision making methodology based on expert system DEX-i. In the first stage the technological and financial cost benefit analysis were conducted for each fruit production alternative. The results were further evaluated with expert system DEX-i considering all possible criteria influencing the fruit grower decision. In the case of a sample family farm the plum yielded with best multi criteria evaluation, followed by apple and pear, while sour cherry gave unsatifactory outcome.
Ključne besede: cost benefit analysis, fruit production, multi attribute decision modeling, expert system DEX-i
Objavljeno v DKUM: 10.07.2015; Ogledov: 1559; Prenosov: 39
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6. Supporting nurses' decisions with a multi-attribute model for patient health evaluationUroš Rajkovič, Dejan Dinevski, Olga Šušteršič, Vesna Prijatelj, Vladislav Rajkovič, 2012, objavljeni znanstveni prispevek na konferenci Ključne besede: podpora odločanju medicinskih sester, večkriterijsko modeliranje, temeljne življenjske aktivnosti, zdravstveno stanje pacienta, decision support for nurses, multi-attribute modeling, basic living activities, patient's health status
Objavljeno v DKUM: 10.07.2015; Ogledov: 1583; Prenosov: 63
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7. A Multi-criteria assesment of tourist farm service qualityČrtomir Rozman, Majda Potočnik, Karmen Pažek, Andreja Borec, Darja Majkovič, Marko Bohanec, 2009, izvirni znanstveni članek Opis: Farm tourism is a significant means of supplementing farmer's incomes. This paper presents a methodology for ranking tourist farms by using a multi-criteria model based on the qualitative multi-criteria modeling methodology, DEX, to assess service quality. The software tool DEXi was used to achieve this end. The model was then applied to seven tourist farms with data derived from questionnaires completed by tourist farm operators and guests. The results are shown as service quality assessments for individual farms. The potential of the model for assessing the farms is demonstrated with the aim of providing a comprehensive explantation and justification of the assessment technique. It also indicates potential improvements that farms can make through "what-if" analysis and visualisation. Despite limitations, such as use of qualitative data only, the approach is proposed as being both appropriate and advantageous when compared with other means of ranking enterprises.
Ključne besede: rural tourism, tourist farm, service quality, multi-criteria modeling, Dexi
Objavljeno v DKUM: 10.07.2015; Ogledov: 1576; Prenosov: 104
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