Научни радови / Scientific papers

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A cephalometric analysis of the cranial base and frontal part of the face in patients with mandibular prognathism
(Ministry of Defance, Serbia, 2014) Čutović, Tatjana; Jović, Nebojša; Stojanović, Ljiljana; Radojičić, Julija; Mladenović, Irena; Matijević, Stevo; Kozomara, Ružica
Bacground/Aim. The literature suggests different views on the correlation between the cranial base morphology and size and saggital intermaxillary relationships. The aim of this study was to investigate the cranial base morphology, including the frontal facial part in patients with mandibular prognathism, to clarify a certain ambiguities, in opposing viewspoints in the literature. Methods. Cephalometric radiographies of 60 patients were analyzed at the Dental Clinic of the Military Medical Academy, Belgrade, Serbia. All the patients were male, aged 18–35 years, with no previous orthodontic treatment. On the basis of dental and sceletal relations of jaws and teeth, the patients were divided into two groups: the group P (patients with mandibular prognathism) and the group E (the control group or eugnathic patients). A total of 15 cephalometric parametres related to the cranial base, frontal part of the face and sagittal intermaxillary relationships were measured and analyzed. Results. The results show that cranial base dimensions and the angle do not play a significant role in the development of mandibular prognathism. Interrelationship analysis indicated a statistically significant negative correlation between the cranial base angle (NSAr) and the angles of maxillary (SNA) and mandibular (SNB) prognathism, as well as a positive correlation between the angle of inclination of the ramus to the cranial base (GoArNS) and the angle of sagittal intermaxillary relationships (ANB). Sella turcica dimensions, its width and depth, as well as the nasal bone length were significantly increased in the patients with mandibular prognathism, while the other analyzed frontal part dimensions of the face were not changed by the malocclusion in comparison with the eugnathic patients. Conclusion. This study shows that the impact of the cranial base and the frontal part of the face on the development of profile in patients with mandibular prognathism is much smaller, but certainly more complex, so that morphogenetic tests of the maxillomandibular complex should be included in further assessment of this impact.
A Common Fixed Point Theorem for Nonlinear Quasi- Contractions on b-Metric Spaces with Application in Integral Equations
(Hindawi, 2020) Mitrović, Zoran D.; Aranđelović, Ivan D.; Mišić, Vesna; Dinmohammadi, Abdollah; Parvaneh, Vahid
A Comparative Study of Voltage, Peak Current and Dual Current Mode Control Methods for Noninverting Buck-Boost Converter
(Academic Mind, Belgrade, 2016) Bošković, Marko Č.
This paper presents a comparison of voltage mode control (VMC) and two current mode control (CMC) methods of noninverting buck-boost converter. The converter control-to-output transfer function, line-to-output transfer function and the output impedance are obtained for all methods by averaging converter equations over one switching period and applying small-signal linearization. The obtained results are required for the design procedure of feedback compensator to keep a system stable and robust. A comparative study of VMC, peak current mode control (PCMC) and dual-current mode control (DCMC) is performed. Performance evaluation of the closed-loop system with obtained compensator between these methods is performed via numerical simulations.
A Comparison Study of Fatigue Behavior of S355J2+N, S690QL and X37CrMoV5-1 Steel
(MDPI, 2022) Milovanović, Vladimir; Arsić, Dušan; Milutinović, Miroslav; Živković, Miroslav; Topalović, Marko
Steel of the mild-strength S355J2+N steel grade is the most often used steel for manufacturing carrying sections of constructions exposed to fatigue loads. The use of high-strength steels, such as S690QL, allows for the creation of structures that are light and simple to construct. However, increasing the yield strength of high-strength steels does not result in a corresponding increase in fatigue resistance. As a result, using high-strength steels for constructions subjected to fatigue loading can be a major design concern, raising the question of whether high-strength steels should be used at all. Most of the experimental investigations regarding the hot work tool steel X37CrMoV5-1 found in the literature are focused on its machining and wear resistance, with insufficient attention paid to the cyclic loads. This article evaluates the fatigue properties of mild-strength S355J2+N, high-strength S690QL, and X37CrMoV5-1 steel grades. A SHIMADZU servo-hydraulic testing machine is used to perform uniaxial tensile tests under uniaxial fatigue stress-controlled, fully reversed conditions (tensile–compression testing with R = 􀀀1 stress ratio) in accordance with EN ISO and ASTM standards. The aim of this paper is to highlight the fatigue characteristics of these three steels that are among the most used in their respective groups. Steel S355J2+N belongs to the group of hot-rolled normalized steels, S690QL belongs to the group of improved (quenched + tempered) steels with increased strength, and X37CrMoV5-1 belongs to the group of high-alloyed tool steels for hot work. This choice was made as the tested steels can be considered typical representatives of their groups. Based on the test results of these three steels, which are organized in S–N curves, the fatigue behavior of the entire mentioned groups of steels can be foreseen.
A Complex Relationship between Quality of Life, Anxiety, and Depression among General Population during Second Year of COVID-19 Pandemic: A Population-Based Study
(MDPI, 2024) Radulovic, Danijela; Masic, Srdjan; Stanisavljevic, Dejana; Bokonjic, Dejan; Radevic, Svetlana; Rajovic, Nina; Milić, Nikola V.; Simic Vukomanovic, Ivana; Mijovic, Biljana; Vukovic, Maja; Dubravac Tanaskovic, Milena; Jojic, Mirka; Vladicic Masic, Jelena; Spaic, Dragan; Milic, Natasa M.
The COVID-19 pandemic has had a significant impact on the global economy and public health, disrupting various aspects of daily life. Apart from its direct effects on physical health, it has also significantly affected the overall quality of life and mental health. This study employed a path analysis to explore the complex association among multiple factors associated with quality of life, anxiety, and depression in the general population of the Republic of Srpska during the pandemic’s second year. Method: A cross-sectional study was conducted on a nationally representative sample (n = 1382) of the general population (adults aged 20+) during the second year of the COVID-19 pandemic in the Republic of Srpska, Bosnia, and Herzegovina. Assessment tools included the DASS- Quality of Life Scale (QOLS), and Oslo Social Support Scale (OSSS-3). Sociodemographic factors and comorbidities were also assessed. Structural equation modeling was used to identify the direct and indirect links of various characteristics to quality of life, anxiety, and depression. Results: This study revealed a considerable prevalence of anxiety and depression symptoms (27.5% and 20.9%, respectively), with quality of life playing a significant mediating role. The constructed path model accounted for 33.1% of moderate to severe depression and 79.5% of anxiety. Negative coping was directly linked to anxiety and indirectly to depression via anxiety, while the absence of positive coping had both direct and indirect paths (through quality of life) on depression. Among variables that directly affected depression, anxiety had the highest effect. However, the bidirectional paths between anxiety and depression were also suggested by the model. Conclusions: Pandemic response strategies should be modified to effectively reduce the adverse effects on public mental health. Further research is necessary to assess the long-term effects of the pandemic on mental health and to analyze the contributing factors of anxiety and depression in the post-COVID period.
A comprehensive assessment of medical schools in Bosnia and Herzegovina
(Wiley, 2006) Šimunović, Vladimir J.; Sonntag, Hans-Gu¨nther; Hren, Darko; Dørup, Jens; Krivokuća, Zdenka; Bokonjić, Dejan; Verhaaren, Henry; Horsch, Axel; Mimica, Mladen; Vojniković, Benjamin; Selesković, Hajrija; Marz, Richard; Marušić, Ana; Marušić, Matko
OBJECTIVES To perform internal and external evaluations of all 5 medical schools in Bosnia and Herzegovina against international standards. METHODS We carried out a 2-stage survey study using the same 5-point Likert scale for internal and external evaluations of 5 medical schools in Bosnia and Herzegovina (Banja Luka, Foča ⁄East Sarajevo, Mostar, Sarajevo and Tuzla). Participants consisted of managerial staff, teaching staff and students of medical schools, and external expert assessors. Main outcome measures included scores on internal and external evaluation forms for 10 items concerning aspects of school curriculum and functioning: "School mission and objectives"; "Curriculum"; "Management"; "Staff"; "Students"; "Facilities and technology"; "Financial issues"; "International relationships"; "Internal quality assurance", and "Development plans". RESULTS During internal assessment, schools consistently either overrated their overall functioning (Foča ⁄ East Sarajevo, Mostar and Tuzla) or markedly overrated or underrated their performance on individual items on the survey (Banja Luka and Sarajevo). Scores for internal assessment differed from those for external assessment. These differences were not consistent, except for the sections "School mission and objectives", "Curriculum" and "Development plans", which were consistently overrated in the internal assessments. External assessments was more positive than internal assessments on "Students" and "Facilities and technology" in 3 of 5 schools. CONCLUSIONS This assessment exercise in 5 medical schools showed that constructive and structured evaluation of medical education is possible, even in complex and unfavourable conditions. Medical schools in Bosnia and Herzegovina have successfully formed a national consortium for formal collaboration in curriculum development and reform.
A Critical Analysis of the PISA Mathematics Tasks
(Faculty of Teachers Education University of Zagreb, 2019) Marković, Olivera; Pikula, Milenko; Zubac, Marina
In this paper, the authors deal with a critical analysis of some of the problems associated with PISA testing in mathematics. First of all, the social, economic and political circumstances of the launch of the PISA project are pointed out. This is followed by an analysis of what the authors consider as very important concepts for understanding PISA philosophy, such as applicable knowledge and problem solving in a real-life situation. We compared two different ways of defining these concepts and showed what the consequences of learning and teaching mathematics are in each of the cases. The authors present the results of the research that was conducted with mathematics teachers, as well as teachers of other subjects. The research dealt with the determination of the importance and role of the mathematical tasks of the PISA test for students’ further mathematical education. The results of the research have shown that there is a significant statistical difference between the assessment provided by the teachers who do and those who do not teach mathematics. The paper also analysed some specific tasks that the students were solving in PISA tests. The authors point out some deficiencies and inaccuracies observed in the mathematics tasks on PISA tests, as well as the weaknesses of PISA testing itself.
A Decision-Making Model for Prioritizing Low-Carbon Policies in Climate Change Mitigation
(Librello Publishing House, 2024) Qiu, Yanjun; Bouraima, Mouhamed Bayane; Badi, Ibrahim; Stević, Željko; Simic, Vladimir
Climate change (CC) represents a paramount environmental challenge, necessitating the deployment of sustainable, low-carbon strategies particularly in developing regions such as Africa. This study introduces a novel decision-making framework aimed at enhancing the prioritization of policies to combat the adverse effects of CC. The proposed two-stage model employs the integration of Step-Wise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) under spherical fuzzy (SF) conditions to address the strategic sequencing of sustainable policies. Initially, SF-SWARA is utilized to ascertain the relative significance of diverse criteria. Subsequently, the SF-WASPAS method ranks these policies, facilitating informed decision-making. The primary obstacles identified include limited institutional capacity, insufficient financial resources, and technological constraints, for which strategic alternatives are proposed. Moreover, rigorous sensitivity and comparative analyses affirm the model's applicability. By systematically delineating and prioritizing necessary policies, this study contributes significantly to the scholarly discourse on climate mitigation (CM) in an African context.
A Hybrid Method for Signalling Transport in GMPLS Control Plane
(Kaunas University of Technology, Lithuania, 2016) Stojanovic, Mirjana D.; Miladic, Suzana D.; Markovic, Goran Z.
This paper addresses the issue of signalling transport in control plane of the Generalized Multi-Protocol Label Switching (GMPLS) network. The two basic methods for establishing control channels in optical networks are the in-fibre-out-of-band and the out-of-fibre. Starting from the analysis of benefits and drawbacks of those methods, we propose and investigate a novel, flexible method for signalling transport, which is based on the analysis of the given network topology and combines the basic methods to achieve a trade-off between requirements for low latency and high reliability. Performance analysis has shown that, with hybrid method, data path setup times are close to the ones achieved with the in-fibre-out-of-band method, while preserving satisfying reliability and flexibility to integrate into multi-domain networks.
A Model for Working Environment Monitoring in Smart Manufacturing
(MDPI, 2021) Dobrilovic, Dalibor; Brtka, Vladimir; Stojanov, Zeljko; Jotanovic, Gordana; Perakovic, Dragan; Jausevac, Goran
The growing application of smart manufacturing systems and the expansion of the Industry 4.0 model have created a need for new teaching platforms for education, rapid application development, and testing. This research addresses this need with a proposal for a model of working environment monitoring in smart manufacturing, based on emerging wireless sensor technologies and the message queuing telemetry transport (MQTT) protocol. In accordance with the proposed model, a testing platform was developed. The testing platform was built on open-source hardware and software components. The testing platform was used for the validation of the model within the presented experimental environment. The results showed that the proposed model could be developed by mainly using open-source components, which can then be used to simulate different scenarios, applications, and target systems. Furthermore, the presented stable and functional platform proved to be applicable in the process of rapid prototyping, and software development for the targeted systems, as well as for student teaching as part of the engineering education process.
A MODEL OF MANAGEMENT INFORMATION SYSTEM FOR TECHNICAL SYSTEM MAINTENANCE
(University POLITEHNICA Timisoara, Faculty of Engineering Hunedoara, 2018) Medaković, Vlado; Marić, Bogdan
Technical systems for production are increasingly automate, which means that they have to work reliably. Therefore, the rapidly expanding concept of maintenance, where people would say that maintaining a process that allows the management of the technical condition and reliability during the entire life cycle of the system. Traditionally, maintenance has been considered as a support function, non-productive and not a core function adding little value to business. However it has been noticed that many manufacturing industries have used various approaches to improve maintenance effectiveness. An analysis of the problem of machines and industrial systems maintenance as well as maintenance strategies and maintenance management process is presented in this paper. Furthermore, a development process of traditional and modern maintenance management information system is given. The possibility of development maintenance management, applying decision support systems and expert systems, are presented, at the end.
A nationwide assessment of the burden of healthcare‑associated infections and antimicrobial use among surgical patients: results from Serbian point prevalence survey, 2017
(Springer, 2021) Šuljagić, Vesna; Bajčetić, Milica; Mioljević, Vesna; Dragovac, Gorana; Mijović, Biljana; Janićijević, Ivana; Đorđević, Zorana; Krtinić, Gordana; Rakić, Violeta; Ćirković, Ivana; Nikolić, Vladimir; Marković‑Denić, Ljiljana
Background: As the only non-European Union (EU) country, Serbia participated in a second point prevalence survey of healthcare-associated infections (HAIs) and antimicrobial use (AMU) organized by the European Centre for Disease Prevention and Control (ECDC) in the EU countries. Here, we aimed to estimate the prevalence of HAI and AMU in patients who had recently undergone a surgery and to compare risk profile, HAI rates, and AMU among surgical patients and non-surgical patients. Methods: A national PPS was performed in 65 Serbian acute-care hospitals, in November 2017. In this paper, the data of 61 hospitals for adult acute-care were analyzed. To ensure the comparability of study design we used the Serbian translation of ECDC case definitions and ECDC PPS protocol. The trained infection control staff, led by a hospital coordinator, reviewed medical records to identify HAI active at the time of the survey and AMU. Only inpatients admitted to the ward before 8 a.m. on the day if the survey were included. Results: A total of 12,478 patients from 61 hospitals for adult acute-care were eligible for inclusion in this study. Significantly higher proportions of surgical patients were female, belonged to the 60-to-79 age group, and were less severely ill. Also, extrinsic factors (invasive devices, hospitalization at the ICU, and prior antibiotics therapy) were more frequent in surgical patients. Prevalence of HAIs was higher among surgical patients (261/3626; 7.2%) than among non-surgical patients (258/8852; 2.9%) (p < 0.0001). The highest prevalence of all HAIs was noted in patients who had kidney transplantation (4/11; 36.4%), while SSIs were the most prevalent among patients who had peripheral vascular bypass surgery (3/15; 20.0%). Non-surgical patients received treatment for community-acquired infections in significantly higher proportion (2664/8852; 64.3) (p < 0.001). Surgical prophylaxis for more than 1 day was applied in 71.4% of surgical patients. Conclusion: We have provided an insight into the burden of HAIs and AMU among Serbia acute-care hospitals, and highlighted several priority areas and targets for quality improvement
A New Fuzzy MARCOS Method for Road Tra c Risk Analysis
(MDPI, 2020) Stanković, Miomir; Stević, Željko; Kumar Das, Dillip; Subotić, Marko; Pamučar, Dragan
In this paper, a new fuzzy multi-criteria decision-making model for tra c risk assessment was developed. A part of a main road network of 7.4 km with a total of 38 Sections was analyzed with the aim of determining the degree of risk on them. For that purpose, a fuzzy Measurement Alternatives and Ranking according to the COmpromise Solution (fuzzy MARCOS) method was developed. In addition, a new fuzzy linguistic scale quantified into triangular fuzzy numbers (TFNs) was developed. The fuzzy PIvot Pairwise RElative Criteria Importance Assessment—fuzzy PIPRECIA method—was used to determine the criteria weights on the basis of which the road network sections were evaluated. The results clearly show that there is a dominant section with the highest risk for all road participants, which requires corrective actions. In order to validate the results, a comprehensive validity test was created consisting of variations in the significance of model input parameters, testing the influence of dynamic factors—of reverse rank, and applying the fuzzy Simple Additive Weighing (fuzzy SAW) method and the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS). The validation test show the stability of the results obtained and the justification for the development of the proposed model.
A NEW GENUS AND A SPECIES OF TRECHINE GROUND BEETLES (COLEOPTERA: CARABIDAE: TRECHINAE) FROM THE REPUBLIC OF SRPSKA (BOSNIA AND HERZEGOVINA)
(Institute for Biological Research, Serbia, 2012) ĆURČIĆ, S. B.; ĆURČIĆ, B. P. M.; PECELJ, M.; PECELJ, JELENA M.; ĆURČIĆ, NINA B.; PECELJ, MILICA M.; MILINČIĆ, M.; RAĐA, T.; MAKAROV, S. E.; MITIĆ, B. M.
A new genus (Punctoduvalius gen. n.) and a species of trechine ground beetles (Punctoduvalius orlovacensis sp. n.) from Bosnia and Herzegovina have been described and diagnosed. Punctoduvalius gen. n. is clearly distinct from all other phenetically close genera in many important respects, such as: the presence of depigmented reduced eyes, the presence of a pigmented eye border, the presence of deep and complete frontal furrows, the presence of tiny setae on the genae, the presence of distinct longitudinal fissures on the protibias, the ratio of length/width of the first protarsal article in males, the presence of two elytral discal setae, the presence of numerous setiferous punctures in interstrial spaces, the specific position of the humeral setae, and the specific shape of the copulatory piece. This new genus comprises four species: Punctoduvalius pilifer (Ganglbauer, 1891) (endogean from Mts. Treskavica and Bjelašnica, and from a cave on Mt. Visočica, Bosnia and Herzegovina), P. protectus (Winkler, 1926) (from the Pećina kod Ostojića Cave, Mt. Treskavica, and endogean from Mt. Jahorina, Bosnia and Herzegovina), P. brevipilosus (Knirsch, 1927) (endogean from Lupoglav Peak, Mt. Prenj, Bosnia and Herzegovina), and P. orlovacensis sp. n. (from the Orlovača Cave, village of Donje Biševo, near Pale, Bosnia and Herzegovina). The four species clearly differ in many important respects.
A NEW GENUS AND SPECIES OF THE FAMILY ANTHROLEUCOSOMATIDAE FROM SERBIA (MYRIAPODA, DIPLOPODA, CHORDEUMATIDA)
(Institute for Biological Research, Serbia, 2012) MAKAROV, S. E.; ĆURČIĆ, B. P. M.; MILINČIĆ, M.; PECELJ, Milica M.; ANTIĆ, D.; MITIĆ, B. M.
A new genus and species of Anthroleucosomatidae is described from Serbia. Dazbogosoma naissi n. g. n. sp. is characterized by the presence of few ocellae, apically bifurcated syncoxite, and the presence of complex lateral parts of anterior gonopods with truncated process. The new genus belongs to the Bulgarosoma complex of genera that probably deserve a suprageneric level.
A New Hybrid MCDM Model: Sustainable Supplier Selection in a Construction Company
(MDPI, 2019) Matić, Bojan; Jovanović, Stanislav; Kumar Das, Dillip; Kazimieras Zavadskas, Edmundas; Stević, Željko; Sremac, Siniša; Marinković, Milan
Sustainable development is one of the most important preconditions for preserving resources and balanced functioning of a complete supply chain in different areas. Taking into account the complexity of sustainable development and a supply chain, different decisions have to be made day-to-day, requiring the consideration of different parameters. One of the most important decisions in a sustainable supply chain is the selection of a sustainable supplier and, often the applied methodology is multi-criteria decision-making (MCDM). In this paper, a new hybrid MCDM model for evaluating and selecting suppliers in a sustainable supply chain for a construction company has been developed. The evaluation and selection of suppliers have been carried out on the basis of 21 criteria that belong to all aspects of sustainability. The determination of the weight values of criteria has been performed applying the full consistency method (FUCOM), while a new rough complex proportional assessment (COPRAS) method has been developed to evaluate the alternatives. The rough Dombi aggregator has been used for averaging in group decision-making while evaluating the significance of criteria and assessing the alternatives. The obtained results have been checked and confirmed using a sensitivity analysis that implies a four-phase procedure. In the first phase, the change of criteria weight was performed, while, in the second phase, rough additive ratio assessment (ARAS), rough weighted aggregated sum product assessment (WASPAS), rough simple additive weighting (SAW), and rough multi-attributive border approximation area comparison (MABAC) have been applied. The third phase involves changing the parameter r in the modeling of rough Dombi aggregator, and the fourth phase includes the calculation of Spearman’s correlation coefficient (SCC) that shows a high correlation of ranks.
A New Integrated Fuzzy Approach to Selecting the Best Solution for Business Balance of Passenger Rail Operator: Fuzzy PIPRECIA-Fuzzy EDAS Model
(MDPI, 2020) Vesković, Slavko; Stević, Željko; Karabašević, Darjan; Rajilić, Snježana; Milinković, Sanjin; Stojić, Gordan
The analysis of operations of the passenger traffic operator in the Republic of Srpska (RS) showed that the volume of passenger transport has, for the last fifteen years, been in constant decline. It is of particular importance that the operator has, year after year, recorded a negative balance of business. The way out of the current unfavorable situation in the sector of passenger traffic is based on the application of Public Service Obligation (PSO) based on the Regulation 1370/2007. In order to solve the problems, seven realistically possible variants have been identified. This paper defines the criteria for selecting the best variant, as well as a new integrated fuzzy model for the selection of the best variant that will enable the operator to make a profit. To define the weights of criteria in this paper, we have used the fuzzy PIvot Pairwise RElative Criteria Importance Assessment (F-PIPRECIA) method, while for ranking and selection of the best variant, we have used the Fuzzy Evaluation based on Distance from Average Solution (F-EDAS) method. Results show that the seventh variant: “Increase in revenue from ticket sales and PSO services and reduction in costs“ is the best solution in current conditions. Validation tests are performed with different scenarios and approaches and show that the model is stable. A validity test was created consisting of variations in the significance of model input parameters, testing of reverse rank, applying the fuzzy Measurement Alternatives and Ranking according to the COmpromise Solution (F-MARCOS), fuzzy Simple Additive Weighing (F-SAW) method, and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS). As a part of the validation tests, Spearman’s coefficient of correlation (SCC) in some scenarios is performed and weights of the criteria have been obtained using the Fuzzy Analytic Hierarchy Process (F-AHP) and Full Consistency Method (FUCOM)
A new integrated rough multi-criteria decision-making model for enterprise resource planning software selection
(PeerJ Inc., 2024) Cao, Bing; Jin, Yongsheng; Ulutas, Alptekin; Topal, Ayse; Stević, Željko; Karabasevic, Darjan; Sava, Cipriana
Enterprise resource planning (ERP) is widely used to boost the total market power of businesses. The wrong selection is one of the key reasons why ERP installations fail. Due to the complexity of the business environment and the range of ERP systems, choosing an ERP system is a complex and time-consuming procedure. ERP alternatives may be assessed using several criteria, so the ERP selection process may be considered a multicriteria decision-making (MCDM) problem. In this study, the rough best worst method (BWM) was used to determine criteria weights, while the newly developed rough integrated simple weighted sum product (WISP) was used to rank ERP alternatives. Results suggest that the SFT-4 coded software is regarded as the best option, followed by SFT-5, SFT-6, SFT-2, SFT-3, and SFT-1. Results of the newly developed rough WISP method are compared to those of existing rough techniques in the sensitivity analysis. The differences between them have been found to be negligible. The outcomes show how effectively developed roughBWMand WISP integrated method performs in terms of ERP selection with usability, accuracy, ease of use, and consistency. This study will help decision-makers in a context where ERP is implemented choose the best ERP software for different sectors.
A New Methodology for Improving Service Quality Measurement: Delphi-FUCOM-SERVQUAL Model
(MDPI, 2018) Prentkovskis, Olegas; Erceg, Živko; Stević, Željko; Tanackov, Ilija; Vasiljević, Marko; Gavranović, Mladen
The daily requirements and needs imposed on the executors of logistics services imply the need for a higher level of quality. In this, the proper execution of all sustainability processes and activities plays an important role. In this paper, a new methodology for improving the measurement of the quality of the service consisting of three phases has been developed. The first phase is the application of the Delphi method to determine the quality dimension ranking. After that, in the second phase, using the FUCOM (full consistency method), we determined the weight coefficients of the quality dimensions. The third phase represents determining the level of quality using the SERVQUAL (service quality) model, or the difference between the established gaps. The new methodology considers the assessment of the quality dimensions of a large number of participants (customers), on the one hand, and experts’ assessments on the other hand. The methodology was verified through the research carried out in an express post company. After processing and analyzing the collected data, the Cronbach alpha coefficient for each dimension of the SERVQUAL model for determining the reliability of the response was calculated. To determine the validity of the results and the developed methodology, an extensive statistical analysis (ANOVA, Duncan, Signum, and chi square tests) was carried out. The integration of certain methods and models into the new methodology has demonstrated greater objectivity and more precise results in determining the level of quality of sustainability processes and activities.
A NEW METHODOLOGY FOR TREATING PROBLEMS IN THE FIELD OF TRAFFIC SAFETY: CASE STUDY OF LIBYAN CITIES
(Vilnius Gediminas Technical University, 2023) BADI, Ibrahim; STEVIĆ, Željko; RADOVIĆ, Dunja; RISTIĆ, Bojana; CAKIĆ, Aleksandar; SREMAC, Siniša
Traffic safety is an area of great importance, since there are many traffic accidents every day in which a significant number of people are killed. Defining certain strategies and identifying potentially the most dangerous towns and cities regarding this area are, on the one hand, a necessity, and, on the other hand, a challenge. In this paper, integrated Multi-Criteria Decision-Making (MCDM) model for ranking cities in Libya from the aspect of traffic safety has been proposed. The model implies a set of 8 criteria on the basis of which 5 decision-makers rated the 10 most deprived cities in Libya. The Full Consistency Model (FUCOM) in combination with the rough Dombi aggregator is used to determine the significance of the criteria. The Rough Simple Additive Weighting (R-SAW) method is used to rank the alternatives. The rough Dombi aggregator is also used for averaging in group decision-making while evaluating the alternatives. The stability of the model and the obtained results has been verified by the sensitivity analysis, which implies a 2-phase procedure. In the 1st phase, rough Additive Ratio Assessment (R-ARAS), Rough Weighted Aggregated Sum Product Assessment (R-WASPAS), Rough Complex Proportional Assessment (R-COPRAS) and Rough Multi-Attributive Border Approximation-area Comparison (R-MABAC) methods are applied. The 2nd phase implies changing the parameter ρ in the procedure of rough Dombi aggregator, while the 3rd phase includes the calculation of Spearman’s Correlation Coefficient (SCC) that shows a high correlation of ranks.

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