PhD in Industrial Engineering and Engineering Management
RESEARCH, TEACHING, or OTHER INTERESTS
Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality, Management Science and Operations Research, Statistics, Probability and Uncertainty
33
Scopus Publications
435
Scholar Citations
13
Scholar h-index
15
Scholar i10-index
Scopus Publications
Environmental Assessment of Cruise Ships and Superyachts with Multi-Criteria Evaluation of Marine Fuels Saša Marković, Nikola Petrović, Dragan Marinković, Boban Nikolić, Nikola Komatina Applied Sciences Switzerland, 2026 Cruise ships and superyachts have experienced significant global expansion throughout the 21st century. Although the growth in cruise passenger numbers was temporarily disrupted by the COVID-19 pandemic, occupancy rates have since rebounded and even exceeded pre-pandemic levels. This study highlights the significant environmental impact of cruise ships and luxury yachts, particularly in terms of air emissions and marine pollution. Emission levels associated with different fuel types and marine engines are analysed, including the average emissions generated by the Norwegian Cruise Line fleet while docked in ports, as well as the estimated emission reductions achievable through the implementation of onshore power supply systems. To identify environmentally preferable fuel options, a hybrid ANN/MCDM framework is applied. The weighting coefficients of eight evaluation criteria are determined using the Artificial Neural Network/Extreme Learning Machine (ANN/ELM) model, ensuring an objective and data-driven assessment of their relative importance. The ANN/ELM model was trained using emission and fuel-related data collected from the literature and industry reports, and its performance was validated using standard validation procedures, achieving satisfactory predictive accuracy for determining the weighting coefficients. The final ranking of eight fuel alternatives is subsequently performed using the Ranking Alternatives by Weighting of Evaluated Criteria (RAWEC) method. The considered alternatives include conventional and emerging marine fuels currently used in practice or under technological development (A1–A8), while the optimization criteria (C1–C8) encompass major air pollutants (CO2, NOx, SOx, CO, PM, CH4), the fuel cost-to-consumption ratio, and the potential impact on water pollution. The water pollution criterion is assessed qualitatively using the Saaty scale. The integrated ANN/ELM–RAWEC approach enables a systematic comparison of marine fuels and supports the identification of options with the lowest overall environmental impact.
A novel IPF-AHP-FMEA approach for prioritizing failure modes in the automotive industry Danijela Tadić, Dragan Marinković, Nikola Komatina Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, 2026 Determining the priorities of failure modes is a problem tackled in practice through the application of FMEA analysis. This method has particularly found application in the automotive industry, where its use is both conducted and mandated by standard and various procedures. However, numerous drawbacks and limitations of conventional FMEA analysis have been identified in relevant literature, and authors have proposed several ways to overcome them. The approach defined in this paper relies on the application of the Interval Valued Pythagorean Fuzzy Analytic Hierarchy Process (IPF-AHP) approach and two novel approaches for determining the priorities of failure modes based on Interval Valued Pythagorean Fuzzy Numbers (IVPFNs) algebra and a modified Pareto (ABC) approach. The model was tested on real data, namely an FMEA report originating from a first-tier supplier in the automotive supply chain. The results obtained through the proposed approaches were compared with those obtained through traditional FMEA analysis. The comparative analysis showed that the proposed models provide a holistic approach to determining the priorities of failure modes and offer a better way to analyze the considered failure modes.
An Integrated FAHP-FTOPSIS Algorithm for Evaluating Competencies in Traditional and Agile Project Management: A Case Study in the Automotive Industry Marija Savković, Nikola Komatina, Marko Djapan, Dragan Marinković, Arso Vukićević Algorithms, 2026 In this study, the evaluation and ranking of competencies in traditional and agile project management were examined using a structured Multi-Criteria Decision-Making (MCDM) algorithm. To determine the most important competency group, a direct assessment method by experts was employed. The Analytic Hierarchy Process method extended with triangular fuzzy sets (FAHP) was used to determine the criteria weights applied for ranking the specific competencies within the most important groups. For ranking competencies within these key groups, the Technique for Order Preference by Similarity to Ideal Solution method extended with triangular fuzzy sets (FTOPSIS) was applied. The same algorithmic procedure was carried out for both traditional and agile project management approaches, in a case study conducted across four companies in the automotive industry. The study showed that, in traditional project management, the most important competency group is related to organizational and managerial skills and competencies. On the other hand, in agile project management, the most important competency group refers to contextual skills and competencies. Furthermore, within the traditional approach, the most significant specific competency is project goal orientation, while in the agile approach, the most significant specific competency is customer and stakeholder orientation.
Ergonomic Optimization of Assembly Workstations: Effects on Productivity and Mental Workload Marija Savković, Marko Djapan, Carlo Caiazzo, Miloš Pušica, Arso Vukićević, et al. Safety, 2026 The main aim of this research paper is to improve the effectiveness of production processes through ergonomic optimization of industrial workstations where workers perform repetitive, monotonous assembly tasks. The study analyzes the impact of applying ergonomic and lean principles, standard of “the golden zone standard” in the design of assembly workstations on participants’ brain activity and productivity, as well as on the quality of the final products in traditional (non-ergonomic) and ergonomic scenario. The results indicated significant differences in brain activity patterns between the two scenarios, revealing higher levels of mental workload during assembly tasks in the non-ergonomic scenario for all participants. Furthermore, improvements in production processes were observed, including increased productivity; specifically, the average mental workload was reduced by approximately 35% in the ergonomic scenario, accompanied by an approximately 5% increase in productivity and an approximately 8% reduction in working time. The obtained results provide a foundation for improving the design of assembly workstations in industrial environments, as well as contributing to a broader understanding of the importance of ergonomics in the optimization of industrial processes.
Selection of Base Materials for Repair Welding Using BWM-TOPSIS and BWM-RADAR Approaches Dušan Arsić, Djordje Ivković, Ranka Sudžum, Dragan Marinković, Nikola Komatina Materials, 2025 In this paper, the selection of the optimal base material to be used in the repair welding process is presented. The aim of the study was to determine which of the available materials has the best characteristics, based on an analysis conducted in a company engaged in construction works. Three base materials were considered in the study: ABRADUR 58, E DUR 600, and CrWC 600 electrodes. Repair welding was performed on components for a construction machinery facility using the manual metal arc welding procedure. For the selection of the optimal base material, a combined Multi-Attribute Decision-Making (MADM) approach was applied. The base materials were evaluated based on four attributes: wear track width, cost, mass loss, and hardness of welded layers. The Best–Worst Method (BWM) was used to determine the attribute weights, while the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Ranking based on the Distances And Range (RADAR) methods were applied in parallel for the ranking and selection of base materials. The analysis showed that in the considered case, the E DUR 600 electrode was the most suitable choice, which was confirmed through the application of both the TOPSIS and RADAR methods.
Fuzzy MCDM Methodology Application in Analysis of Annual Operational Efficiency in Passenger and Freight Air Transport Nikola Petrović, Dragan Marinković, Nikola Komatina, Marija Runić-Ristić, Tahir Masood Qureshi, et al. Mathematics, 2025 The airline industry plays a vital role in global mobility and international trade, which makes the evaluation of its operational efficiency an important strategic task. This study evaluates and ranks the operational performance of passenger and freight air transport in Serbia over the period 2014–2023 by employing a fuzzy multi-criteria decision-making framework. Six key performance criteria were defined, with their weighting coefficients determined using the fuzzy MEREC method, while the ranking of alternatives was conducted using the fuzzy MARCOS method. The obtained results reveal noticeable variations in performance throughout the observed period and provide insights into efficiency trends in both passenger and freight segments of air transport. Furthermore, a sensitivity analysis confirmed the robustness and stability of the ranking outcomes. The findings of this research can support evidence-based decision-making and contribute to enhancing the operational efficiency and competitiveness of the air transport sector.
The Determination Risk Level of Manufacturing Process Based on IF-TOPSIS and IF-Fuzzy Logic Rules Ranka Sudžum, Snežana Nestić, Aleksandar Aleksić, Nikola Komatina, Dragan Marinković, et al. Symmetry, 2025 In a dynamic and uncertain environment, maintaining a high level of business process (BP) reliability represents a key long-term objective for organizations. The manufacturing process, as the most critical business process in manufacturing enterprises, is emphasized due to its potential to cause significant disruptions across other BPs if it fails. This paper proposes a two-stage model. In the first stage, failures leading to lean waste are evaluated and ranked using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) combined with interval-valued intuitionistic fuzzy numbers (IVIFNs), referred to as IF-TOPSIS. The model is grounded in the Failure Mode and Effect Analysis (FMEA) framework. In the second stage, a modified fuzzy logic system with IVIFN-based rules is applied to determine the risk level of the manufacturing process. This approach is based on the property of symmetry in the decision-making process, ensuring that criteria are treated in a balanced manner and inference rules are applied consistently. A case study based on real-life data demonstrates that the obtained results identify measures that can enhance business strategy and reduce failure rates. Thus, the model is validated and shown to contribute to lean waste reduction. It can be concluded that the proposed methodology provides clear and practical guidance to enterprise management, as well as to all sectors and individuals involved in ensuring a reliable manufacturing process, for defining failure priorities and implementing preventive measures.
Failure Mode and Effects Analysis Integrated with Multi-Attribute Decision-Making Methods Under Uncertainty: A Systematic Literature Review Aleksandar Aleksić, Danijela Tadić, Nikola Komatina, Snežana Nestić Mathematics, 2025 Failure Mode and Effects Analysis (FMEA) is a proactive management technique widely used to improve the reliability of products and processes across various business sectors. Due to rapid changes stemming from uncertain environments, numerous studies have proposed different approaches to enhance the effectiveness of the FMEA method. However, there is a lack of systematic literature reviews and classification of research on this topic. The purpose of this paper is to systematically review the literature on the integration of FMEA with Multi-Attribute Decision-Making (MADM) theories and various mathematical models. This study analyses a total of 68 papers published between 2015 and 2024, selected from 51 peer-reviewed journals indexed in Scopus and/or Web of Science. Furthermore, a bibliometric analysis was conducted based on the frequency of different mathematical theories used to model existing uncertainties, methods for determining the weighting vectors of risk factors (RFs), the use of MADM theories extended with uncertain numbers for weighting RFs and prioritizing identified failure modes, publication years, journals, and application domains. This research aims to support both researchers and practitioners in effectively adopting uncertain MADM methods to address the limitations of traditional FMEA and provide insight into the current state of the art in this field.
Multi-Criteria Ranking of Industrial Presses with Respect to Operational Performance Using the Square-Root based Evaluation Method (SREM) N Komatina, N Petrović, D Pamučar, V Simić, D Marinković Facta Universitatis, Series: Mechanical Engineering , 2026 2026
Environmental Assessment of Cruise Ships and Superyachts with Multi-Criteria Evaluation of Marine Fuels S Marković, N Petrović, D Marinković, B Nikolić, N Komatina Applied Sciences 16 (9), 4287 , 2026 2026
An Integrated FAHP-FTOPSIS Algorithm for Evaluating Competencies in Traditional and Agile Project Management: A Case Study in the Automotive Industry M Savković, N Komatina, M Djapan, D Marinković, A Vukićević Algorithms 19 (2), 129 , 2026 2026
A novel IPF-AHP-FMEA approach for prioritizing failure modes in the automotive industry D Tadić, D Marinković, N Komatina Proceedings of the Institution of Mechanical Engineers, Part O: Journal of … , 2026 2026
Ergonomic Optimization of Assembly Workstations: Effects on Productivity and Mental Workload M Savković, M Djapan, C Caiazzo, M Pušica, A Vukićević, D Marinković, ... Safety 12 (1), 15 , 2026 2026 Citations: 2
Multi-attribute approach for enhancing maintenance processes in maintenance depots under a type-2 fuzzy environment V Milovanović, A Aleksić, S Nestic, N Komatina, V Sokolović, M Milenkov Vojnotehnički glasnik , 2026 2026
A decision-support framework for evaluating supplier portfolio risk: Integrating the FMEA action priority approach with fuzzy modeling N Komatina Journal of Intelligent Management Decision , 2026 2026
An objective multi-attribute decision-making framework for identifying critical phases in automotive component manufacturing N Komatina, D Marinković Journal of Engineering Management and Systems Engineering , 2026 2026 Citations: 4
Fundamental Characteristics and Applicability of the RADAR Method: Proof of Ranking Consistency N Komatina, D Marinkovic, M Babič Spectrum of Operational Research 3 (1), 63-80 , 2026 2026 Citations: 9
Selection of Base Materials for Repair Welding Using BWM-TOPSIS and BWM-RADAR Approaches D Arsić, D Ivković, R Sudžum, D Marinković, N Komatina Materials 18 (24), 5696 , 2025 2025
Fuzzy MCDM Methodology Application in Analysis of Annual Operational Efficiency in Passenger and Freight Air Transport N Petrović, D Marinković, N Komatina, M Runić-Ristić, TM Qureshi, ... Mathematics 13 (21), 3535 , 2025 2025 Citations: 5
Advancing PFMEA decision-making: FRADAR based prioritization of failure modes using AP, RPN, and multi-attribute assessment in the automotive industry N Komatina, D Marinković, D Tadić, D Pamučar Tehnički glasnik 19 (3), 442-451 , 2025 2025 Citations: 20
The Determination Risk Level of Manufacturing Process Based on IF-TOPSIS and IF-Fuzzy Logic Rules R Sudžum, S Nestić, A Aleksić, N Komatina, D Marinković, S Moljević Symmetry 17 (9), 1535 , 2025 2025 Citations: 1
Uloga EFQM modela i poslovnih modela u unapređenju performansi kvaliteta: pristup zasnovan na mašinskom učenju T Petrović, A Đorđević, A Aleksić, M Savković, N Komatina Zbornik Međunarodnog kongresa o procesnoj industriji–Procesing 38 (1), 29-38 , 2025 2025
Analiza faktora koji utiču na unapređenje kvaliteta i dostizanje nivoa zrelosti PFMEA 4.0 A Aleksić, D Tadić, D Marinković, S Nestić, N Komatina Zbornik Međunarodnog kongresa o procesnoj industriji–Procesing 38 (1), 15-27 , 2025 2025
Failure Mode and Effects Analysis Integrated with Multi-Attribute Decision-Making Methods Under Uncertainty: A Systematic Literature Review A Aleksić, D Tadić, N Komatina, S Nestić Mathematics 13 (13), 2216 , 2025 2025 Citations: 8
Integrating Hybrid FAHP–FRADAR Approach and the FMEA Framework for Evidence-Informed Risk Assessment in Football Player Transfers N Komatina Journal of Data Science and Intelligent Systems , 2025 2025 Citations: 3
Cloud Platform Selection Using Extended Multi-Attribute Decision-Making Methods with Interval Type-2 Fuzzy Sets I Spasenić, D Tadić, M Čabarkapa, D Marinković, N Komatina Axioms 14 (6), 469 , 2025 2025 Citations: 1
Optimization of PFMEA Team Composition in the Automotive Industry Using the IPF-RADAR Approach N Komatina, D Marinković Algorithms 18 (6), 342 , 2025 2025 Citations: 9
A fuzzy decision-making approach to electric vehicle evaluation and ranking D Tadić, J Lukić, N Komatina, D Marinković, D Pamučar Tehnički vjesnik 32 (3), 1066-1075 , 2025 2025 Citations: 23
MOST CITED SCHOLAR PUBLICATIONS
The assessment and selection of suppliers using AHP and MABAC with type-2 fuzzy numbers in automotive industry N Komatina, D Tadić, A Aleksić, AD Jovanović Proceedings of the Institution of Mechanical Engineers, Part O: Journal of … , 2023 2023 Citations: 30
Evaluation and ranking of failures in manufacturing process by combining best‐worst method and VIKOR under type‐2 fuzzy environment A Aleksić, DD Milanović, N Komatina, D Tadić Expert Systems 40 (2), e13148 , 2023 2023 Citations: 30
The hybrid MCDM model with the interval Type-2 fuzzy sets for the software failure analysis G Ðurić, Č Mitrović, N Komatina, D Tadić, G Vorotović Journal of Intelligent & Fuzzy Systems 37 (6), 7747-7759 , 2019 2019 Citations: 29
Advanced risk assessment in reverse supply chain processes: A case study in Republic of Serbia A Aleksić, M Runić Ristić, N Komatina, D Tadić Advances in Production Engineering & Management 14 (4), 421-434 , 2019 2019 Citations: 26
The integrated PFMEA approach with interval type-2 fuzzy sets and FBWM: A case study in the automotive industry N Komatina, D Tadić, A Aleksić, N Banduka Proceedings of the Institution of Mechanical Engineers, Part D: Journal of … , 2022 2022 Citations: 25
A novel BWM-RADAR approach for multi-attribute selection of equipment in the automotive industry N Komatina Spectrum of mechanical engineering and operational research 2 (1), 104-120 , 2025 2025 Citations: 24
A fuzzy decision-making approach to electric vehicle evaluation and ranking D Tadić, J Lukić, N Komatina, D Marinković, D Pamučar Tehnički vjesnik 32 (3), 1066-1075 , 2025 2025 Citations: 23
A compromise-based MADM approach for prioritizing failures: Integrating the RADAR method within the FMEA framework N Komatina Jurnal Sistem dan Manajemen Industri (Journal System and Management of … , 2024 2024 Citations: 23
Advancing PFMEA decision-making: FRADAR based prioritization of failure modes using AP, RPN, and multi-attribute assessment in the automotive industry N Komatina, D Marinković, D Tadić, D Pamučar Tehnički glasnik 19 (3), 442-451 , 2025 2025 Citations: 20
Fulfilling external stakeholders’ demands—enhancement workplace safety using fuzzy mcdm N Komatina, M Djapan, I Ristić, A Aleksić Sustainability 13 (5), 2892 , 2021 2021 Citations: 17
A hybrid interval type-2 fuzzy DEMATEL-MABAC approach for strategic failure management in automotive manufacturing D Tadić, N Komatina Journal of engineering management and systems engineering (JEMSE) , 2025 2025 Citations: 16
Analysis of the performance measurement models according to the requirements of the procurement business process, International Journal of Industrial Engineering and Management N Komatina, S Nestić, A Aleksić International Journal of Industrial Engineering and Management 10 (No.3 … , 2019 2019 Citations: 15
The prioritization of failures within the automotive industry: The two-step failure mode and effect analysis integrated approach N Banduka, A Aleksić, N Komatina, A Aljinović, D Tadić Proceedings of the Institution of Mechanical Engineers, Part B: Journal of … , 2020 2020 Citations: 13
Determination of the optimal production plan by using fuzzy AHP and fuzzy linear programming M Milanovic, M Misita, N Komatina Journal of Intelligent & Fuzzy Systems 38 (4), 4315-4325 , 2020 2020 Citations: 11
Determination of manufacturing process failures priority under type 2 fuzzy environment: Application of genetic algorithm and Variable neighborhood search N Komatina, D Tadić, G Đurić, A Aleksić Proceedings of the Institution of Mechanical Engineers, Part E: Journal of … , 2024 2024 Citations: 10
Fundamental Characteristics and Applicability of the RADAR Method: Proof of Ranking Consistency N Komatina, D Marinkovic, M Babič Spectrum of Operational Research 3 (1), 63-80 , 2026 2026 Citations: 9
Optimization of PFMEA Team Composition in the Automotive Industry Using the IPF-RADAR Approach N Komatina, D Marinković Algorithms 18 (6), 342 , 2025 2025 Citations: 9
Multi-attribute approach for selection of polymeric materials for manufacturing gears: A case study in the automotive industry A Marković, B Stojanović, N Komatina, L Ivanović Proceedings of the Institution of Mechanical Engineers, Part C: Journal of … , 2024 2024 Citations: 9
Analysis of the relationship between the organizational resilience factors and key performance indicators’ recovery time in uncertain environments in industrial enterprises M Huber, N Komatina, V Paunović, S Nestić Mathematics 11 (14), 3075 , 2023 2023 Citations: 9
Failure Mode and Effects Analysis Integrated with Multi-Attribute Decision-Making Methods Under Uncertainty: A Systematic Literature Review A Aleksić, D Tadić, N Komatina, S Nestić Mathematics 13 (13), 2216 , 2025 2025 Citations: 8
