Görçün, Ömer Faruk
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GÖRÇÜN, ÖMER FARUK
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Gorcun, Omer Faruk
Görçün, ÖMER FARUK
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G.,Omer Faruk
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Görçün, Omer Faruk
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Ö. F. Görçün
Ömer Faruk GÖRÇÜN
Gorcun,Omer Faruk
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Görçün, O.
G., Ömer Faruk
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Görçün, Ömer Faruk
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Goercuen, oemer Faruk
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Job Title
Dr. Öğr. Üyesi
Email Address
Main Affiliation
Business Administration
Business Administration
01. Kadir Has University
Business Administration
01. Kadir Has University
Status
Current Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
15
LIFE ON LAND
1
Research Products
16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
14
LIFE BELOW WATER
10
Research Products
6
CLEAN WATER AND SANITATION
0
Research Products
3
GOOD HEALTH AND WELL-BEING
3
Research Products
17
PARTNERSHIPS FOR THE GOALS
16
Research Products
4
QUALITY EDUCATION
0
Research Products
2
ZERO HUNGER
2
Research Products
10
REDUCED INEQUALITIES
2
Research Products
7
AFFORDABLE AND CLEAN ENERGY
8
Research Products
13
CLIMATE ACTION
9
Research Products
1
NO POVERTY
0
Research Products
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
25
Research Products
12
RESPONSIBLE CONSUMPTION AND PRODUCTION
13
Research Products
8
DECENT WORK AND ECONOMIC GROWTH
6
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES
23
Research Products
5
GENDER EQUALITY
0
Research Products
Documents
76
Citations
1307
h-index
21
Documents
68
Citations
1059
Scholarly Output
101
Articles
85
Views / Downloads
675/6209
Supervised MSc Theses
1
Supervised PhD Theses
0
WoS Citation Count
942
Scopus Citation Count
1275
WoS h-index
19
Scopus h-index
21
Patents
0
Projects
0
WoS Citations per Publication
9.33
Scopus Citations per Publication
12.62
Open Access Source
36
Supervised Theses
1
| Journal | Count |
|---|---|
| Engineering Applications of Artificial Intelligence | 9 |
| Expert Systems with Applications | 5 |
| Accounting, Finance, Sustainability, Governance and Fraud | 4 |
| Journal of Cleaner Production | 3 |
| Kybernetes | 3 |
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101 results
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Now showing 1 - 10 of 101
Article Citation - Scopus: 89Evaluation of Tanker Vehicle Selection Using a Novel Hybrid Fuzzy Mcdm Technique(Regional Association for Security and crisis management, 2021) Görçün, Ömer Faruk; Senthill, SPetroleum products transportation considered as one of the crucial parts of dangerous material transportation is a risky logistics activity. The selection of the appropriate tanker vehicles may be a suitable solution to reduce the risks and increase the efficiency and performance of the fuel transportation companies. However, the selection of a suitable road tanker vehicle is not an easy task for decision-makers as there are many conflicting criteria and many decision alternatives. In addition, decision-makers may have to decide with insufficient information since collecting crisp values may not be possible at all times. Hence, many ambiguities affecting the evaluation results exist in an assessment process performed to select the best tanker vehicle option. This paper suggests a novel integrated fuzzy approach to solve these decision-making problems. Sensitivity analysis is conducted to test the validation of the proposed integrated fuzzy approach and its results was performed by forming 130 scenarios. The results of sensitivity analysis prove that the proposed model can be applied to solve these kinds of decision-making problems.Article Citation - WoS: 75Citation - Scopus: 86Sustainability Performance Analysis of Micro-Mobility Solutions in Urban Transportation With a Novel Ivfnn-Delphi-LOPCOW-CoCoSo Framework(Pergamon-Elsevier Science Ltd, 2023) Ecer, Fatih; Kucukonder, Hande; Kaya, Sema Kayapinar; Gorcun, Omer FarukAlmost all megacities worldwide are under pressure from environmental pollution and excessive resource usage due to rapid urbanization and increasing urban population. Within this scope, micro-mobility solutions (MMSs), an extension to the primary urban transportation network, have become even more critical recently. However, when we executed a preliminary investigation concerning MMSs' sustainability, we noted some critical theoretical and managerial gaps: (1) the number of studies assessing MMSs using decision-making approaches is excessively scarce, (2) no paper in the literature deals with the MMSs' sustainability performance, and (3) there are no commonly accepted criteria set to assess the sustainability of the MMSs in the literature. The current study aims to present a practical and robust decision-making framework that can over-come excessively complicated uncertainties to evaluate the sustainability performance of MMSs. Further, it suggests a novel methodological framework, i.e., Delphi, Loga-rithmic Percentage Change-Driven Objective Weighting (LOPCOW), and Combined Compromise Solution (CoCoSo) methods with interval-valued fuzzy neutrosophic number (IVFNN) informa-tion, which can be defined as a reconciliation tool to set the criteria affecting the assessment processes. Findings present that computing time, scenic adoption, and accidents are the foremost criteria, whereas mini-electric VH, powered standing scooter, and powered seated scooter are the most promising MMSs, respectively. Findings reveal that computing time, scenic adoption, and accidents are the critical factors for the sustainability assessment of MMSs, whereas mini-electric VH, powered standing scooter, and powered seated scooter are the most promising MMSs, respectively. The current paper's overall outcomes and findings can assist practitioners and policy-makers in the urban transportation industry in setting sustainability policies and investing in the more rational and sustainable MMSs.Article Citation - WoS: 27Citation - Scopus: 28Evaluation of the selection of proper metro and tram vehicle for urban transportation by using a novel integrated MCDM approach(SAGE PUBLICATIONS LTD, 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND, 2021) Görçün, Ömer FarukThis paper presents a novel integrated multi-criteria decision-making model consists of the CRITIC (CRiteria Importance Through Intercriteria Correlation) technique and the EDAS (The Evaluation based on Distance from Average Solution) method to evaluate the selection of the urban rail vehicles operated in the public transport systems. In order to determine the selection criteria in a more realistic perspective, a board of experts consists of seven members, who perform as senior executives in the public transport institutions of the country, was constructed and many round tables meetings were organized with together the members of the board for determining the procedure to follow to reach meaningful and applicable results. At the beginning of the research, approximately fifty selection criteria were determined by the research team and some of them were eliminated during the preparation process of this study. Finally, 22 factors were determined as the selection criteria, which will be used in this research. These factors are the selection criteria directly or indirectly affecting the selection process and results. Also, rail tram types currently operated in the various cities of Turkey were determined as decision alternatives. These options were evaluated by using the proposed integrated MCDM approach. When the obtained results are evaluated, it can be seen that the proposed model has the potential to give very successful results for evaluating the selection process of the urban rail systems. Moreover, it can be implemented as a decision support system by decision-makers, who perform in the public transport authorities. Finally, it can also be applied for decision-making problems faced in the various fields.Article Citation - WoS: 34Citation - Scopus: 38EVALUATING 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, HandePositioning 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.Article Citation - WoS: 27Citation - Scopus: 29Container 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, HandeContrary 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.Article Citation - Scopus: 1An Integrated Decision-Making Framework to Evaluate the Route Alternatives in Overweight/Oversize Transportation(Pergamon-Elsevier Science Ltd, 2026) Gorcun, Omer Faruk; Kundu, Pradip; Kucukonder, Hande; Dogan, Gurkan; Tirkolaee, Erfan BabaeeOverweight and oversized transport (O&OT) has become one of the most critical elements of project logistics, driven by advancements in transportation and lifting technologies that now allow high-volume loads to be moved across long distances. This type of transportation operation, also called abnormal transportation, is greatly affected by technical factors such as the weight and geometry of the load, road surface, axle load limitations, slope, and ground strength, as well as external variables such as weather conditions, traffic density, and legal regulations. In planning and operational processes, Decision-Makers (DMs) and practitioners who plan and execute operations without adequately considering these factors and variables can lead to delays in operations, serious risks, and loss of productivity. This research proposes a flexible decision support model that integrates Step-wise Weight Assessment Ratio Analysis (SWARA) and Logarithmic Percentage Change-driven Objective Weighting (LOPCOW), and a ranking technique; i.e., Mixed Aggregation by Comprehensive Normalization Technique (MACONT) techniques to address the decision problems related to route selection, one of the most critical problems in transporting heavy and bulky loads, and to produce reasonable solutions. The proposed model significantly reduces information losses by processing subjective and objective information and integrating subjective (SWARA) and objective (LOPCOW) methods. Unlike traditional ranking approaches, the MACONT method combines three different normalization techniques to determine the ranking performance of alternatives. In this way, it provides more reliable and accurate results by reducing the deviations of the results provided by the single normalization technique. In addition, it shows each alternative's good and bad performance compared to the others and is more convincing about the results obtained. According to the results obtained by applying the proposed model, fuel consumption (0.096) is determined as the most effective and critical factor in selecting the route on which heavy and bulky loads will be transported. In this context, choosing routes that allow lower fuel consumption can contribute to reducing carbon emissions and external costs arising from transportation. The extensive robustness and validation check to test the proposed model prove that the proposed model is a reliable, robust, and practical decision-making tool for making reasonable and rational decisions in O&OT.Article Citation - WoS: 7Citation - Scopus: 73d 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, MiroslavasThree-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.Master Thesis Lojistik Endüstrisinin Yeşil Pazarlama Uygulamalarının Tip-2 Nötrösofik Belirsiz Ortamda Değerlendirilmesi(2024) Aın, Noor Ul; Görçün, Ömer FarukLojistik endüstrisi, çevresel kirlilikle ilgili dış paydaşların artan endişeleri ve yoğun rekabetçi iş ortamında başarılı olma ihtiyacı nedeniyle Kurumsal Sosyal Sorumluluk (KSS) uygulamalarını benimsemek için önemli bir baskıyla karşılaşmaktadır. İç motivasyonlara ek olarak uluslararası kuruluşlar ve hükümetler, lojistik şirketlerin küresel çevresel kirlilik endişeleri ve lojistik ve taşımacılık endüstrilerinin olumsuz etkilerine uygun bir şekilde KSS uygulamalarını hayata geçirmeleri konusunda büyük bir baskı uygular. Bu nedenle firmalar, rekabetçi iş ortamında varlıklarını sürdürmek ve uluslararası toplumun taleplerini karşılamak amacıyla KSS uygulamaları alanında pratik ve değerli yeşil pazarlama stratejileri geliştirmeye teşvik edilir. Ancak, ilgili literatürde şaşırtıcı ve kritik araştırma boşlukları olduğundan, uygulayıcılar araştırma topluluğunun desteğinden mahrum kalmaktadır. Bu sorunu ele almak için mevcut literatüre dayalı olarak bir dizi kriter geliştirilmiş ve bu kriterlerin önemine dayanarak Delphi, CRITIC ve MACONT prosedürlerini içeren yeni bir karar verme yaklaşımı kullanılarak ağırlıkları daha da değerlendirilmiştir. Bu metodolojilere ek olarak, sonuçlar, aşırı karmaşık belirsizlikleri yönetebilen son derece güçlü, güvenilir ve pratik bir çerçeve sunan Tip-2 Neutrosophic Fuzzy Numbers kullanılarak güçlendirilmiştir. Ayrıca, geliştirilen algoritmanın ileri matematik bilgisi gerektirmeyen son derece pratik, anlaşılır ve kolay uygulanabilir bir yapıya sahip olduğunu belirtmek önemlidir. Çalışmanın temel bulguları, EN9 Arazi Kullanımı kriterinin 0.04673'lik bir önem puanıyla en etkili kriter olduğunu göstermektedir. Ayrıca, SO5 İK politikaları tarafından çalışma yerlerinin değiştirilmesi (0.03446) ve EN4 sera gazı emisyonlarını azaltmaya yatırım yapma (0.03413) kriterleri, ilk önemli faktörü takip etmektedir. Buna ek olarak, çalışmanın alternatiflere ilişkin temel bulgusu, A1 Netlog Co.'nun yeşil pazarlama uygulamaları açısından en uygun firma olduğudur. Önerilen modelin güvenilirliğini ve geçerliliğini doğrulayan bir sağlamlık kontrolü yapılmıştır.Conference Object Citation - WoS: 16Formal Safety Assessment for Ship Traffic in the Istanbul Straits(Elsevier Science Bv, 2015) Görçün, Ömer Faruk; Burak, Selmin Z.Formal Safety Assessment is a very important tool for the establishment of safety systems according to marine safety. FSA methodology has been recommended to all the maritime actors by the International Maritime Organization (IMO) as an integrated safety system. In Formal Safety Assessment two main risk methodologies are applied which are quantitative and qualitative risk assessments. Both of these methods are used together in practice. The FSA approach is applied in five main stages. In this study risks related to marine traffic in the Istanbul Strait in the period of 2001-2010 are analyzed. In practice different factors are selected for risk analyses such as vessel specifications accident locations accident time accident types and causes. (C) 2015 The Authors. Published by Elsevier Ltd.Article Uluslararası Taşımacılık İşletmelerinin Çekici Araç Seçimlerinin Entegreahp, Entropi ve Topsıs Yöntemleri Kullanılarak Analizi(2019) Görçün, Ömer FarukUluslararası taşımacılık işletmelerinin doğru araç seçimi operasyonel verimlilik ve etkinlik açısından sonderece önemli bir konudur. Taşımacılık faaliyetlerinin etkinliği uygun araç ve ekipman seçimine büyükölçüde bağımlılık göstermektedir. Öte yandan araç seçimi karar alıcıların sezgileri ve kişisel yargıları ileyapılamayacak kadar çok sayıda faktör tarafından etkilenen bir süreçtir. Bu nedenle bir lojistik İşletmeninçekici araç seçimine ilişkin süreci çok kriterli karar verme yöntemleri kullanarak sistematik ve yapısal birperspektifte değerlendirmesi en iyi ve uygun aracın seçimine olanak sağlayabilir. Bu kapsamda lojistikişletmelerin karayolu taşıma faaliyetlerinde kullanacaklar çekici araçların seçiminde kullanılmak üzereentegre Analitik Hiyerarşi Prosesi (AHP), Entropi ve TOPSIS yöntemlerinden oluşan hibrid bir modelönerilmektedir. Önerilen bu model kullanılarak elde edilen sonuçların konu ile ilgili olarak akademikalanda çalışanların yanı sıra, lojistik işletmeler ile lojistik süreçlerde yer alan diğer aktörler tarafından dakullanılabilir nitelikte olacağı öngörülmektedir.
