RFOS - Repository of Faculty of Organizational Sciences Univ. of Belgrade
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Evaluation of the route selection in international freight transportation by using the CODAS technique based on interval-valued Atanassov intuitionistic sets
No full textThe selection of a proper international freight transport route is one of the crucial tasks for decision-makers since it can affect costs, efficiency, and transportation performance. Besides, the selection of suitable and appropriate freight routes can also reduce external costs of transportation such as emissions, noise, traffic congestions, accidents, and so on. Route selection in international transportation is a complicated decision-making problem as many conflicting factors and criteria affect the assessment process. It has been observed that there is no mathematical model and methodological frame used for solving these selection problems, and decision-makers make decisions on this issue based on their own experiences and verbal judgments in the research process. Therefore, a methodological frame is required to make rational, realistic, and optimal decisions on route selection. From this perspective, the current paper proposes using the IVAIF CODAS, an extended version of the traditional CODAS techniques, and using the Atanassov interval-valued intuitionistic fuzzy sets (IVAIFS) for processing better the existing uncertainties. The proposed model is applied to solve the route selection, a real-life decision-making problem encountered in international transportation between EU countries and Turkey. According to the results of the analysis, option A6 (i.e., Route-6 (Bursa-Istanbul-Pendik-Trieste (Ro-Ro)-Austria-Frankfurt/Germany) has been determined as the best alternative. These obtained results have been approved by a comprehensive sensitivity analysis performed by using different MCDM techniques based on interval-valued intuitionistic fuzzy sets. Hence, it can be accepted that the proposed model is an applicable, robust, and powerful mathematical tool; also, it can provide very reliable, accurate, and reasonable results. As a result, the proposed model can provide a more flexible and effective decision-making environment as well as it can provide valuable advantages to the logistics and transport companies for carrying out practical, productive, and lower cost logistics operations
A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse
No full textBlockchain technology and metaverse advancements allow people to create virtual personalities and spend time online. Integrating public transportation into the metaverse could improve services and collect user data. This article introduces a hybrid decision-making framework for prioritizing sustainable public transportation in Metaverse under q-rung orthopair fuzzy set (q-ROFS) context. In this regard, first, q-rung orthopair fuzzy (q-ROF) generalized Dombi weighted aggregation operators and their characteristics are developed to aggregate the q-ROF information. Second, a q-ROF information-based method using the removal effects of criteria and stepwise weight assessment ratio analysis models are proposed to find the objective and subjective weights of criteria, respectively. Then, a combined weighting model is taken to determine the final weights of the criteria. Third, the weighted sum product method is extended to q-ROFS context by considering the double normalization procedures, the proposed operators and integrated weighting model. This method has taken the advantages of two normalization processes and four utility measures that approve the effect of benefit and cost criteria by using weighted sum and weighted product models. Next, to demonstrate the practicality and effectiveness of the presented method, a case study of sustainable public transportation in metaverse is presented in the context of q-ROFSs. The findings of this article confirms that the proposed model can recommend more feasible performance while facing numerous influencing factors and input uncertainties, and thus, provides a wider range of applications
Best Proximity Point for G(t)F-Fuzzy Proximal Contraction
No full textIn this writing, first, we disclose the first and second category of a gamma F-tau-fuzzy proximal contraction for a mapping O : U -> V which is nonself and also declare a fuzzy q-property to confirm the existence of the best proximity point for nonself function O. Then, we discover a few results using the gamma F-tau-fuzzy proximal contraction of the first category for a continuous and discontinuous nonself function O in a non-Archimedean fuzzy metric space. Later, we discuss another result for the gamma F-tau- fuzzy proximal contraction of the second category as well. In between the fuzzy proximal theorems, many examples are presented in support of the definitions and theorems proved in this writing
Simulation-Based Analysis of Appointment Scheduling System in Healthcare Services: A Critical Review
No full textThis review paper investigates the healthcare simulation appointment scheduling system (SASS). It primarily aims to highlight critical appointment scheduling challenges and outline the most prominent research topics. This critical review also intends to provide a comprehensive summary of these works, revealing progress achieved on the topic while highlighting potential concerns in healthcare that can be modeled via simulation. In total, 350 articles published in the period 2000-2021 in the Web of Science database were collected; 250 articles were chosen for review. Several approaches are discovered using the keyword SASS analysis, with four simulation approaches central to the research subject and deserving additional consideration. Finally, this study indicates that future research should focus on improving the efficiency of simulation optimization methods by reducing their time cost and increasing satisfaction
Forensic-Engineering Aspect in One Example of Long-Distance Transport of Air Pollutant
No full textForensic engineering methods might be applied in detection and identification characterisation of events according to complexity of their appearance in real environment as it covers different aspects (data, materials, chemistry, monitoring systems, technology) needed to find out the cause and predict effects. The long-distance air pollutant transport represents one challenging event for the analysis over years; specific phenomena are Saharan air masses that can transport high amounts of mineral dust particles and biological material. The dynamism of the systems in real environment, inevitably, includes time frame and spatial referencing, on location of event. However, this is directly related to providing findings and opinions when appealing to a forensic examination of an event. An example of long-distance transport of air pollutants with references to related processes in the atmosphere including time frame and spatial references is presented in the paper with discussion that is aligned with the goals of forensic engineering
Financial Literacy of Managers in Serbian Health Care Organizations as a Path to Sustainability
No full textAdequate financial management is of great importance to the health care system. In the contemporary state of affairs, health care is facing numerous limitations due to drastic costs and growing pressures to provide quality health care. In such appalling conditions, the managers of health organizations must build skills and knowledge that go beyond the comfort zone of their clinical competencies. It is necessary to develop their leadership skills. Bearing in mind the importance of financial competencies, the general aim of this paper is to determine the competencies of the managers of Serbian health institutions (private and public sector) in this area. Insufficient attention has been given to how health care organizations’ financial literacy affects their sustainability. For the purpose of this prospective research, a questionnaire was created that surveyed the managers of various health care institutions. The results of this study indicated that managers of health organizations have a relatively modest level of financial knowledge. However, they participate in financial activities to a large extent. This gap between the function they perform and the knowledge they have can potentially harm the well-being of the health care organizations they lead. Managers of organizations in the public sector showed a more active role in the development of business plans and more frequent independent decision making, while managers of organizations in the private sector gave more importance to financial control, negotiation, and internal financial reporting, for the improvement of the management process
A local supply chain inventory planning with varying perishability rate product: A case study
No full textMotivated by a real-life case in the dairy supply chain, we study the management of deteriorating inventories in an existing three-echelon supply chain network with a local retailer with multiple customers. Like many industries, the focal company categorizes the customers into two different clusters in the supply chain downstream with different, uncertain demand functions: (i) many, small, ordinary customers; (ii) few, large, premier customers. The focal company intends to determine the optimal inventory policy while the deterioration rate of the product is time sensitive. The problem is formulated using two concepts: 1) queuing theory and finite-horizon Semi-Markov process to characterize the structure of the optimal inventory policy; 2) integrated inventory system in the supply chain at the network level. We formulate the problem mathematically and show that the model is nonlinear and nonconvex. Therefore, the model cannot be solved by using commercial optimization software products to reach global optimal. Consequently, two solution approaches are designed to solve the problem: (i) a modified version of the Invasive Weed Optimization algorithm, named adaptive Invasive Weed Optimization, which is designed, tuned and validated (using well-known algorithms) to tackle the problem; (ii) an Adaptive Heuristic Method. We show that adaptive Invasive Weed Optimization is superior in the quality of solutions while Adaptive Heuristic Method is faster. Various sensitivity analyses applied to the real data show when facing both perishability and uncertainty, the effect of perishability outweighs the effect of uncertainty
Analiza dugoročnog uticaja pandemije COVID-19 na obrasce potražnje za pivo u Srbiji
No full textПандемија COVID-19 имала је значајан глобални утицај на здравље и економију, погађајући
различите индустрије широм света. Једна од најтеже погођених индустрија је индустрија хране и пића у оквиру које је и пиварска индустрија. Поставља се питање, да ли је пандемија утицала на потражњу за пивом у Србији и да ли је проузроковала дугорочне промене у обрасцима тражње. Применом структурне анализе временских серија и линеарне регресије, овај рад фокусира се на истраживање образаца потражње за пивом анализирајући четири категорије производа према типу амбалаже: алуминијумске лименке, неповратну стаклену амбалажу, пластичну PET амбалажу и класичну стаклену амбалажу. Резултати сугеришу да је пандемија COVID-19 имала дугорочан утицај на обрасце конзумације пива, што је довело до повећања конзумације. Међутим, неопходна је даља анализа како би се испитало да ли је ово повећање на уштрб смањења конзумације других алкохолних пића. Ово истраживање разматра дугорочне импликације пандемије на тржиште пива и наглашава потребу за свеобухватном анализом како би се разумео њен шири утицај на индустрију алкохолних пића
Project Management Software Tools – One Step Closer to UN Sustainable Development Goals
No full textThe purpose of this research was to explore the contribution of different engineering applications, more precisely software for project management, to the overall success of projects that help achievement of the United Nations sustainable development goals. The research was conducted in several phases, the first of which was a literature review on the topic of project success, in order to define a comprehensive list of dimensions, factors and measures of success. The second step was the implementation of a questionnaire, on the use of project management software and the success of implemented projects in the Republic of Serbia, and their contribution to the achievement of UN's sustainable development goal. The research was designed to investigate the impact of software for project management on the success of projects in relation to the United Nations sustainable development goals. The results show that the use of engineering applications contributes to project success, particularly in achieving SDG goals 4, 8, and 9. The analysis also reveals a positive and statistically significant correlation between critical success factors and the dimensions of project success. These findings demonstrate that using software for project management is beneficial for achieving success in all three dimensions of project success and is justified for managing time, resources, costs, changes, and risks on both single and multi-project management. Furthermore, the use of software can improve the chances of meeting stakeholder requirements and completing the project within defined constraints
Mediated Effect of Entrepreneurial Education on Students’ Intention to Engage in Social Entrepreneurial Projects
No full textSocial enterprises are gaining great importance, since they can efficiently solve social problems and help reduce unemployment. Thus, it is important to discover how social entrepreneurial intention (SEI) can be enhanced. In this paper, a model of the impact of entrepreneurial education (EE) on SEI is formulated by relying on the human capital theory. It is hypothesized that EE acts on SEI directly as well as indirectly by increasing the perceived importance of social entrepreneurship (PISE). The model was evaluated on a sample of 400 students from the Republic of Serbia, and Bosnia and Herzegovina. The analysis was conducted using partial least squares structural equation modelling (PLS-SEM). In addition, a multigroup analysis was conducted in order to establish differences in the proposed relationship between countries. The obtained results indicate a positive impact of EE on SEI and a positive impact of PISE on SEI in both observed countries. The influence of EE on PISE, as well as the indirect effect of EE on SEI through PISE, was confirmed in Serbia, but not in Bosnia and Herzegovina. The results of this paper justify further government investment in the development of educational programs. This paper also gives recommendations to universities, educators, and researchers