Dragan Marinković
14054674100
Publications - 5
Digital transformation project risks assessment using hybrid picture fuzzy distance measure-based additive ratio assessment method
Publication Name: Scientific Reports
Publication Date: 2025-12-01
Volume: 15
Issue: 1
Page Range: Unknown
Description:
Digital transformation (DT) has become vital for companies trying to remain competitive in the recent ever-changing technological environment. DT is the integration of digital technologies into all disciplines of business from regular activities to strategic decision making. Risk management planning requires projects to assess possible risks that may negatively or positively affect a DT project. The purpose of the study is to introduce a hybridized decision support system (DSS) by combining the distance measure, ranking comparison (RANCOM) model and additive ratio assessment (ARAS) approach in the context of a picture fuzzy set (PFS). In this framework, the decision experts’ significance values are computed using a picture fuzzy score function-based formula. With the combination of objective weight using distance measure and subjective weight through the RANCOM model, a combined weight-determining approach is developed to determine the significance values of considered DT risks under picture fuzzy environment, while a hybrid ARAS model is developed to evaluate and rank DT projects from the risks perspective. To exhibit the feasibility of the introduced framework, a case study of a DT projects assessment problem is discussed in the context of picture fuzzy sets. A sensitivity study is also discussed over different values of the strategy coefficient, which confirms the strength of the proposed model. Further, a comparison with the existing picture fuzzy information-based methods is presented to prove the robustness of the developed decision-making framework.
Open Access: Yes
Advancing PFMEA Decision-Making: FRADAR Based Prioritization of Failure Modes Using AP, RPN, and Multi-Attribute Assessment in the Automotive Industry
Publication Name: Tehnicki Glasnik
Publication Date: 2025-01-01
Volume: 19
Issue: 3
Page Range: 442-451
Description:
This research proposes a novel way to improve Process Failure Modes and Effects Analysis (PFMEA) by using the Fuzzy RAnking based on the Distances And Range (FRADAR) method to prioritize activities for mitigating or eliminating failure modes in the automotive industry. The suggested approach seeks to improve classic PFMEA by using fuzzy sets to better assess risk-related criteria and their inherent uncertainty. The criteria used to prioritize actions for mitigating failure modes include the Action Priority (AP) and Risk Priority Number (RPN) approach, as well as the cost-effectiveness of actions, the time required to resolve issues, and their impact on production, all of which are assessed by a PFMEA team using predefined linguistic terms and suggestions. Applied to a case study of a Tier-1 automotive supplier, the FRADAR method effectively ranks failure modes, providing a structured and precise approach for action prioritization. The results highlight the model’s potential to enhance decision-making processes, offering a robust framework for implementing PFMEA recommendations in the automotive industry.
Open Access: Yes
SELECTION OF AGRICULTURAL PRODUCT SALES CHANNELS USING FUZZY DOUBLE MEREC AND FUZZY RAWEC METHOD
Publication Name: Agriculture and Forestry
Publication Date: 2024-09-30
Volume: 70
Issue: 3
Page Range: 45-58
Description:
When selling food products, it's important to choose the appropriate sales channel. These channels connect producers with consumers. The aim of this study was to select a channel for the sale of cabbage to end customers. In this paper, six different sales channels that are used in the Semberija region for the sale of cabbage were observed. These sales channels were evaluated using 11 different criteria. In order to choose the sales channel that best meets the set objectives, a fuzzy set approach was used. This approach was chosen because qualitative criteria were used and expert ratings were in the form of linguistic values. Based on the input of seven experts who are professors at agricultural faculties in Bijeljina, it was found that consumer habits were the most important criterion, followed by the criterion compliance with environmental standards, while the smallest weight value was given to the criterion delivery method. Using the RAWEC (Ranking of Alternatives with Weights of Criterion) method, it was shown that online sales yield the best results, after that follows Producer-sales agent-consumer, while according to experts, the sales channel is the best rated Producer-wholesaler-retailer-consumer. This is because various tools can be utilized on the Internet for selling agricultural products. Based on the conducted research, the contribution of this study lies in the selection of sales channels using the integration of the MEREC and RAWEC methods.
Open Access: Yes
Ethical Dimensions in Supplier Selection Sustainability: Introducing the Modified MARCOS Method via Fuzzy-Rough Set with the LMAW Approach
Publication Name: Contemporary Mathematics Singapore
Publication Date: 2025-01-01
Volume: 6
Issue: 6
Page Range: 7899-7924
Description:
This research presents a novel approach to supplier selection by integrating economic, environmental, and ethical criteria. The case study of Company 3B, a food production company, illustrates this process. Expert decisionmaking, using a fuzzy-rough approach, is supported by the fuzzy-rough Logarithm Methodology of Additive Weights (LMAW) and the fuzzy-rough modified Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) methods. The fuzzy-rough LMAW method helps determine the importance of criteria, revealing that experts consider the economic criterion the most significant. The Modified MARCOS (M-MARCOS), a simplified version of the MARCOS method, is used to rank suppliers. Results show that Supplier S3 performs the best. These findings are validated through comparisons with other fuzzy-rough methods and a sensitivity analysis. With the MARCOS method comparisons confirming a consistent ranking order, this paper advances supplier selection methodology by introducing a novel approach and improving the usability of the MARCOS method through modifications.
Open Access: Yes
AN ACCELERATED BENDERS DECOMPOSITION ALGORITHM FOR THE MULTI-ITEM FIXED-CHARGE TRANSPORTATION PROBLEM
Publication Name: Engineering Review
Publication Date: 2025-01-01
Volume: 45
Issue: 2
Page Range: 52-66
Description:
In today’s industrial and service sectors the role of transportation is unavoidable. Due to this importance, an optimized transportation plan with minimum transportation costs can be a favour for the managers. In this study a multi-item fixed-charge transportation problem with capacitated multiple transportation mode is considered. As such problem is of high degree of complexity, we focus on the Benders decomposition approach to solve it. For this aim, first the classical Benders decomposition approach is developed for the problem. This is the first time in the literature that the Benders decomposition algorithm is developed for this problem. In continue, as another novelty, an accelerated benders decomposition algorithm is developed for the problem by adding some valid inequalities to the classical Benders decomposition algorithm. These valid inequalities can effectively influence the performance of the classical Benders decomposition algorithm. Several test problems with various sizes are generated to test the proposed solution approaches. The test problems are solved by the classical branch and bound algorithm and the proposed classical and accelerated Benders decomposition algorithms. According to the obtained results the accelerated Benders decomposition algorithm performs better than others in terms of reporting optimal solution and CPU running time.
Open Access: Yes
DOI: 10.30765/er.2661
