Browsing by Author "Hashemkhani Zolfani, Sarfaraz"

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Citation - WoS: 8
Citation - Scopus: 8
3d Printer Selection for the Sustainable Manufacturing Industry Using an Integrated Decision-Making Model Based on Dombi Operators in the Fermatean Fuzzy Environment
(Mdpi, 2024) Gorcun, Omer Faruk; Zolfani, Sarfaraz Hashemkhani; Kucukonder, Hande; Antucheviciene, Jurgita; Pavlovskis, Miroslavas; Hashemkhani Zolfani, Sarfaraz
Three-dimensional printers (3DPs), as critical parts of additive manufacturing (AM), are state-of-the-art technologies that can help practitioners with digital transformation in production processes. Three-dimensional printer performance mostly depends on good integration with artificial intelligence (AI) to outperform humans in overcoming complex tasks using 3DPs equipped with AI technology, particularly in producing an object with no smooth surface and a standard geometric shape. Hence, 3DPs also provide an opportunity to improve engineering applications in manufacturing processes. As a result, AM can create more sustainable production systems, protect the environment, and reduce external costs arising from industries' production activities. Nonetheless, practitioners do not have sufficient willingness since this kind of transformation in production processes is a crucial and irrevocable decision requiring vast knowledge and experience. Thus, presenting a methodological frame and a roadmap may help decision-makers take more responsibility for accelerating the digital transformation of production processes. The current study aims to fill the literature's critical theoretical and managerial gaps. Therefore, it suggests a powerful and efficient decision model for solving 3DP selection problems for industries. The suggested hybrid FF model combines the Fermatean Fuzzy Stepwise Weight Assessment Ratio Analysis (FF-SWARA) and the Fermatean Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (FF-RAFSI) approaches. The novel FF framework is employed to solve a critical problem encountered in the automobile manufacturing industry with the help of two related case studies. In addition, the criteria are identified and categorized regarding their influence degrees using a group decision approach based on an extended form of the Delphi with the aid of the Fermatean fuzzy sets. According to the conclusions of the analysis, the criteria "Accuracy" and "Quality" are the most effective measures. Also, the suggested hybrid model and its outcomes were tested by executing robustness and validation checks. The results of the analyses prove that the suggested integrated framework is a robust and practical decision-making tool.
Citation - WoS: 3
Citation - Scopus: 5
Application of the Fuzzy Mcdm Model for the Selection of a Multifunctional Machine for Sustainable Waste Management
(Mdpi, 2025) Duan, Yu; Stevic, Zeljko; Novarlic, Boris; Zolfani, Sarfaraz Hashemkhani; Gorcun, Omer Faruk; Subotic, Marko; Hashemkhani Zolfani, Sarfaraz
In the sustainability concept, one of the most important areas is sustainable waste management, a system that significantly impacts both economic and social well-being. The aim of this paper is to create a unique model that can contribute to better and more promising waste management in local governments in order to increase the level of sustainability. The scientific contribution and novelty of this research is reflected in developing the Fuzzy M-FullEX (Modified Fuller's triangle approach extended) method for defining fuzzy weight coefficients of criteria and its integration with the Fuzzy ROV (range of value) method for ranking multifunctional machines. The unique model developed in this study encompasses 10 criteria and seven alternative solutions, including the two aforementioned Fuzzy MCDM (multi-criteria decision-making) methods and the Bonferroni operator for averaging expert assessments. The results of the Fuzzy M-FullEX-Fuzzy ROV model based on the preferences of three experts define the best multifunctional machine for efficient and sustainable waste management, which is the Venieri. The rankings are as follows: M1 > M3 > M2 > M4 > M5 > M6 > M7. The obtained results were confirmed through extensive analysis (sensitivity, comparative analysis, correlation coefficients, different matrix size) and discussion.
Citation - WoS: 27
Citation - Scopus: 29
Container Vessel Selection for Maritime Shipping Companies by Using an Extended Version of the Grey Relation Analysis (gra) With the Help of Type-2 Neutrosophic Fuzzy Sets (t2nfn)
(Pergamon-Elsevier Science Ltd, 2022) Zolfani, Sarfaraz Hashemkhani; Gorcun, Omer Faruk; Kundu, Pradip; Kucukonder, Hande; Hashemkhani Zolfani, Sarfaraz; Faruk Görçün, Ömer
Contrary to expectations, based on occurring changes in customer behaviours related to consuming and shopping triggered by the pandemic, the global container shipping market has continued to grow during COVID 19. Experts estimate that these increases will continue in the future due to changing consumption habits. However, container shipping companies (CSCs) may soon encounter many troubles and challenging situations. They have an extremely fragile structure and may be entirely unprotected when they encounter unexpected situations sourced from external factors. (i.e., due to grounding of a ship, complete blockage of the Suez channel for three weeks can be given as a clear example of that). Hence, selecting an appropriate container vessel type can help construct a healthier container shipping system less influenced by adverse conditions for decision-makers and practitioners. Besides, it can provide a more effective and productive maritime transportation environment for all stakeholders. However, selecting a proper container vessel type is a complicated decision-making problem since many conflicting criteria and complex ambiguities exist. The current paper proposes an extended version of the GRA technique with the help of type-2 neutrosophic fuzzy sets (T2NFN) for capturing and processing uncertainties better than the traditional MCDM frameworks. According to the obtained results, C6, container carrying capacity, is the most influential criterion and the type of post-Suezmax container vessel is the best option for the CSCs, as it provides advantages at a satisfactory level for almost all criteria than others. After the proposed model was applied, a comprehensive sensitivity analysis (SA) was performed to test the validity of the T2NFN GRA approach. The results of SA approve the applicability, effectivity, and robustness of the model.
Citation - WoS: 34
Citation - Scopus: 38
EVALUATING LOGISTICS VILLAGES IN TURKEY USING HYBRID IMPROVED FUZZY SWARA (IMF SWARA) AND FUZZY MABAC TECHNIQUES
(Vilnius Gediminas Tech Univ, 2021) Hashemkhani Zolfani, Sarfaraz; Gorcun, Omer Faruk; Kucukonder, Hande
Positioning in the right location for organizing logistics activities is a determinative factor in the aspect of costs, effectivity, productivity, and performance of these operations carried out by logistics firms. The proper logistics village selection is a crucial, complicated, and time-consuming process for decision-makers who have to make the right and optimal decision on this issue. Decision-makers need a methodological frame with a practical algorithm that can be implemented quickly to solve these decision-making problems. Within this scope, the current paper aims to present an evaluation tool, which provides more reasonable and reliable results for decision-makers to solve the logistics village selection problem that is very complicated and has uncertain conditions based on fuzzy approaches. In this study, we propose the Improved Fuzzy Step-Wise Weight Assessment Ratio Analysis (IMF SWARA), a modified and extended version of the traditional fuzzy Step-Wise Weight Assessment Ratio Analysis (F-SWARA) to identify the criteria weights. Also, we suggest applying the fuzzy Multi-Attributive Border Approximation area Comparison (F-MABAC) technique to determine the preference ratings of the alternatives. This combination has many valuable contributions. For example, it proposes to use a more reliable and consistent evaluation scale based on fuzzy sets. Hence, decision-makers can perform more reliable and reasonable pairwise comparisons by considering this evaluation scale. Besides, it presents a multi-attribute evaluation system based on the identified criteria weights. From this perspective, the proposed model is implemented to evaluate eight different logistics village alternatives with respect to nine selection criteria. According to the analysis results, while A8 is the most appropriate option, C1 Gross National Product (GNP) is the most significant criterion. A comprehensive sensitivity analysis was performed to test the robustness and validation of the proposed model, and the results of the analysis approve the validity and applicability of the proposed model. As a result, the suggested integrated MCDM framework can be applied as a valuable and practical decisionmaking tool to develop new strategies and improve the logistics operations by decision-makers.
Citation - WoS: 24
Citation - Scopus: 29
Evaluation of the Special Warehouse Handling Equipment (turret Trucks) Using Integrated Fucom and Waspas Techniques Based on Intuitionistic Fuzzy Dombi Aggregation Operators
(Springer Heidelberg, 2023) Hashemkhani Zolfani, Sarfaraz; Gorcun, Omer Faruk; Kucukonder, Hande
Turret trucks used for special warehousing operations have exceptional abilities, qualifications, and working principles than other warehousing handling equipment. Also, at the same time, if decision-makers cannot select as proper to needs, the cost of being idle of these kinds of machines is very high. According to the comprehensive literature review and the paper's findings, evaluating turret trucks is complex, complicated, and time-consuming for decision-makers, as many conflicting criteria and uncertainties affect the evaluation processes. Hence, it is required to employ a practical, powerful, and practical multi-criteria decision-making (MCDM) approach that can handle ambiguities to solve these kinds of problems. For this purpose, the current paper proposes an extended version of a hybrid decision-making tool consisting of FUCOM (Full Consistency Method) and the WASPAS (Weighted Aggregated Sum Product Assessment) technique with the help of the intuitionistic fuzzy Dombi aggregation operators. It can help to select the appropriate turret trucks that can help reduce the costs of remaining idle and provide economic effectivity of logistics and warehousing operations. According to the outcomes of the suggested model, the width, lift motor power and lift height of the turret trucks are the most critical and influential criteria, as they determine the corridor width, accordingly space utilization, warehousing capacity, and unit warehousing costs. Finally, the intuitionistic fuzzy model is applied to solve the turret truck selection problems. A comprehensive sensitivity analysis consisting of three phases was performed to test the validation of the proposed model and its obtained results. The sensitivity analysis results approve the proposed model's applicability and validity. Thus, the analysis results validated that the proposed approach is a robust and practical MCDM framework, and its results are accurate and reasonable.
Citation - WoS: 6
Citation - Scopus: 7
Mcdm-Based Wildfire Risk Assessment: a Case Study on the State of Arizona
(Mdpi, 2023) Pishahang, Mohammad; Jovcic, Stefan; Hashemkhani Zolfani, Sarfaraz; Simic, Vladimir; Goercuen, oemer Faruk; Zhu, Shaojun; Zhang, Chao; Görçün, Ömer Faruk
The increasing frequency of wildfires has posed significant challenges to communities worldwide. The effectiveness of all aspects of disaster management depends on a credible estimation of the prevailing risk. Risk, the product of a hazard's likelihood and its potential consequences, encompasses the probability of hazard occurrence, the exposure of assets to these hazards, existing vulnerabilities that amplify the consequences, and the capacity to manage, mitigate, and recover from their consequences. This paper employs the multiple criteria decision-making (MCDM) framework, which produces reliable results and allows for the customization of the relative importance of factors based on expert opinions. Utilizing the AROMAN algorithm, the study ranks counties in the state of Arizona according to their wildfire risk, drawing upon 25 factors categorized into expected annual loss, community resilience, and social vulnerability. A sensitivity analysis demonstrates the stability of the results when model parameters are altered, reinforcing the robustness of this approach in disaster risk assessment. While the paper primarily focuses on enhancing the safety of human communities in the context of wildfires, it highlights the versatility of the methodology, which can be applied to other natural hazards and accommodate more subjective risk and safety assessments.
Citation - WoS: 15
Citation - Scopus: 17
The Potentials of the Southern & Eastern European Countries in the Process of the Regionalization of the Global Supply Chains Using a Q-Rung Orthopair Fuzzy-Based Integrated Decision-Making Approach
(Pergamon-Elsevier Science Ltd, 2022) Zolfani, Sarfaraz Hashemkhani; Krishankumar, Raghunathan; Pamucar, Dragan; Gorcun, Omer Faruk; Hashemkhani Zolfani, Sarfaraz; Faruk Görçün, Ömer
Recent challenges such as COVID 19 and the blockage of the Suez Channel have shown that the global supply chains (GSC) have extremely fragile structures. Hence, the GSCs have started to seek new strategies to be less affected. From this perspective, regionalization of the GSCs may be the best and most practical way to create more strength, well-operating, and robust supply chain systems. When a detailed literature review was per-formed, two severe and significant gaps were noticed. First is related to the methodological frame. The second gap is also concerned to the criteria used in the previous studies, as it is not clear how these criteria were identified and whether these criteria are suitable to the current real-life decision-making problems. The current paper aims to fill these gaps existing in the literatures. It examines the regionalization potentials of the GSCs and proposes an integrated MCDM framework based on the q-rung orthopair fuzzy sets. Also, it presents updated criteria set that can be commonly accepted. These criteria were identified by performing comprehensive field-work with highly experienced professionals with extensive knowledge of the GSCs and a detailed literature re-view to determine the criteria used in the previous works. The proposed model was applied to evaluate the potential of the southern and eastern European countries to be a manufacturing center for the GSCs. Then, a comprehensive sensitivity analysis performed for validating the proposed MCDM approach approves the pro-posed model's validity and efficacy by showcasing the close combat among the European countries.