Browsing by Author "Görçün, Ömer Faruk"

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Citation Count: 2
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) Görçün, Ömer Faruk; Zolfani, Sarfaraz Hashemkhani; Kucukonder, Hande; Antucheviciene, Jurgita; Pavlovskis, Miroslavas
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 Count: 0
Ağır Treylerlerin Seçiminin AHP Yöntemi ile Değerlendirilmesi
(Düzce Üniversitesi Fen Bilimleri Enstitüsü, 2019) Görçün, Ömer Faruk
Ağır ve havaleli yüklerin taşınması süreçlerini de kapsayan proje lojistiği son derece hassas operasyonlardan oluşan lojistik bir faaliyettir. Treyler seçimine ilişkin kriterlerin ve karar noktalarının çok sayıda olması treyler seçimini son derece zorlaştırmaktadır. Seçime ilişkin süreçler etki eden faktörlerin ve değişkenlerin çok sayıda olması treyler seçimine ilişkin süreçlerde çok kriterli karar alma metodolojilerinin uygulanmasını iyi bir seçenek haline getirebilmektedir. Bu çalışmada çok kriterli karar alma yöntemlerinden birisi olan Analitik Hiyerarşi Prosesi kullanılmıştır. Bu çalışma, proje lojistiği ve ağır taşımacılık faaliyetlerinde kullanılacak treylerlerin seçimi ile ilgili olarak karar vericilerin hangi kriterlere daha fazla önem verdiklerinin yanı sıra, karar alternatifleri arasından yapacakları tercihlerin daha uygun ve rasyonel bir tercih olabileceğini sayısal bir perspektife tanımlamaya çalışmaktadır
Citation Count: 10
Analysis of efficiency and performance of global retail supply chains using integrated fuzzy SWARA and fuzzy EATWOS methods
(Springer, 2022) Görçün, Ömer Faruk; Zolfani, Sarfaraz Hashemkhani; Canakcioglu, Mustafa
The current paper aims to fill the two severe and significant gaps in the literature related to global retail chains. First, it presents the criteria set identified by performing comprehensive fieldwork together with experts highly experienced and have extensive knowledge of the retailing industry and a detailed literature review. Secondly, it proposes a robust, applicable, and powerful novel integrated MCDM framework dealing with many complicated uncertainties. As one of the significant practical and managerial implications, the current paper highlights the significance of sustainable retailing operations to better global retail chains. After the proposed model was implemented, a comprehensive sensitivity analysis was performed to test the validation of the model and its obtained results. According to the validation test results, A12 Walmart&ASDA has remained the best option for all scenarios. It has been observed that there are slight changes that did not change the overall results in the ranking performance of some decision alternatives. As a result, the analysis results prove that the proposed integrated fuzzy approach can be applied to solve highly complex decision-making problems encountered in various fields and the retailing industry.
Citation Count: 2
Analysis of the Effects of Intermodal Terminals for the Solutions of Urban Logistics Problems in Istanbul City
(Springer International Publishing Ag, 2016) Görçün, Ömer Faruk
We analyzed the urban logistics problems in Istanbul City and we tried to show the solutions of these problems thanks to intermodal freight terminals. Istanbul is a center of trade tourism and industry
Citation Count: 0
ARAŞTIRMA GELİŞTİRME HARCAMALARININ G-7 ÜLKELERİNİN GELİŞMİŞLİK DÜZEYİNE ETKİLERİNİN İNCELENMESİ: YENİ BİR KARAR MODELİ
(2022) Görçün, Ömer Faruk; Görçün, Ömer Faruk; Küçükönder, Hande
Günümüzde ülkelerin gelişmişlik düzeyinin önde gelen göstergelerinden biri de inovasyon yeteneği yani yeni ürün geliştirme yeteneğidir. Böylece ülkeler küresel rekabet ortamında katma değeri ve toplumsal refahlarını artırmak için ürün ve teknoloji geliştirme yeteneklerini hızla geliştirmeye yönelmişlerdir. Ancak araştırma ve geliştirme (Ar-Ge) için yapılan harcamalar her zaman katma değer yaratan yeni ürünlerin üretilmesiyle sonuçlanamamaktadır. Maliyetin yüksek olmasına neden olduğu için özel sektör yatırım ve Ar-Ge harcamalarında çekingen davranabilmekte ve doğrudan görece düşük katma değere sahip kısa vadeli yatırımlar ve Ar-Ge harcamaları yapmaktadır. Bu koşullar altında ülkelerin yeni ve teknolojik ürünler üretebilmeleri, Ar-Ge maliyetlerini büyük ölçüde kamu otoritelerinin üstlenmesine bağlıdır. Ancak Ar-Ge harcamaları kamu bütçesine ağır bir yük getirmekte ve çok büyük miktarda kamu kaynağının harcanmasına neden olabilmektedir. Bu açıdan Ar-Ge harcamalarının ülkelerin bu konudaki hedeflerine olan etkilerinin gerçekçi bir bakış açısıyla ölçülmesi, analiz edilmesi ve değerlendirilmesi gerekmektedir. Bu nedenle, ülkelerin yeni ve teknolojik ürün üretme kabiliyetine ilişkin performanslarını kamu kaynak kullanımını dikkate alarak ölçmek için pratik, uygulanabilir ve iyi sonuçlar verebilecek bir metodolojik çerçeveye ihtiyaç duyulmaktadır. Ayrıca yazarlar tarafından yapılan kapsamlı bir ön araştırma sonucunda mevcut literatürde ciddi ve önemli boşluklar tespit edilmiştir. İlk olarak, yazarların bilgisine göre, ülkelerin Ar-Ge performanslarını ele alan çalışmaların sayısı dışında karşılaştırmalı analiz sağlayan bir çalışma yok denecek kadar azdır. Yakın çalışmaların çoğu bazı sınırlamaları ve yapısal sorunları olmasına rağmen Veri Zarflama yöntemi (VZA) yaklaşımını uygulamayı tercih etti ve sağlam bir metodolojik çerçeve önermediler. Ayrıca daha önce yapılan bu çalışmalarda kriterlerin nasıl belirlendiği hakkında bir bilgi bulunmamaktadır. Uygulanan model ve kriterlerin güvenilirliği konusunda şüphe uyandırmakta ve güvenilir bir değerlendirme ortamı sağlamamaktadır. Çalışmanın temel motivasyonu, bu boşlukları ve gereksinimleri göz önünde bulundurarak objektif ve sağlam bir entegre karar verme modeli önermektir. Ayrıca kamu otoritelerinde, kurumlarda ve bireylerde güçlü bir motivasyon vardır. Mevcut makale, kamu otoriteleri tarafından Ar-Ge harcamaları için elde edilen çıktıları analiz etmek için matematiksel bir operatör yardımıyla Entropi ve CRITIC teknikleri ile birleştirilmiş ağırlıklandırma sistemine dayalı EATWOS tekniğinin kullanılmasını önermektedir. Önerilen çerçeve, ülkelerin Ar-Ge harcamalarının ülkelerin yenilikçilik yeteneği üzerindeki etkilerine ilişkin performanslarını değerlendirmek için uygulandı ve önerilen modelin ve sonuçlarının geçerliliğini ve uygulanabilirliğini test etmek için kapsamlı bir duyarlılık analizi yapıldı. Duyarlılık analizinin sonuçları, önerilen Çok Kriterli Karar Verme (ÇKKV) çerçevesinin geçerliliğini ve uygulanabilirliğini onaylar.
Citation Count: 0
Assessing and selecting sustainable refrigerated road vehicles in food logistics using a novel multi-criteria group decision-making model
(Elsevier Science inc, 2024) Görçün, Ömer Faruk; Tirkolaee, Erfan Babaee; Kucukonder, Hande; Gargf, Chandra Prakash
In recent years, food loss and waste (FLW) have become an essential issue at the top of the international community's agenda. Since more people are afflicted by this problem every day, the global population would be forced into poverty and starvation without finding an immediate solution. Therefore, in order to decrease FLW, well-designed and sustainable food and cold supply chains (FCSCs) are needed. Additionally, refrigerated transportation systems can be crucial in developing sustainable supply chains. According to some empirical research, the technological capabilities of reefer vehicles or trailers differ significantly. Thus, selecting the reefer vehicle is a complex decision-making problem and selecting appropriate reefer vehicles may have a critical role in constructing successful supply chain systems and reducing food waste and loss. The current research proposes an efficient, robust and practical decision-making framework that can overcome uncertainties to tackle this decision-making problem. The managerial and strategic implications of the study also aid in decreasing FLW and restructuring FSC for industrial context and support to the UN's sustainable development goals (SDGs). Later, an exhaustive sensitivity analysis was conducted to examine the developed model's validity and application, confirming the model's robustness and dependability.
Citation Count: 18
The blockchain technology selection in the logistics industry using a novel MCDM framework based on Fermatean fuzzy sets and Dombi aggregation
(Elsevier Science Inc, 2023) Görçün, Ömer Faruk; Pamucar, Dragan; Biswas, Sanjib
Logistics is a sophisticated system involving third-party logistics (3PL) providers, freight forwarders, warehousing companies, and transport service producers in various transport modes, such as road, rail, air, maritime, and multimodal transportation. Furthermore, it is possible to add customs clearance agencies, insurance companies, banks, and relevant institutions and organizations to the system. Effective logistics systems must sustainably provide customers with quality and satisfactory logistics services using data shared over advanced technologies. Nevertheless, data and information on logistics are usually challenging to collect, process, and understand, as they are primarily unstructured, unreachable, and unstandardized. Blockchain is a new and advanced technology promising to eliminate or mitigate the adverse effects of these difficulties. However, blockchain technology practices in the logistics industry are extraordinarily scarce; and a few blockchain platforms have attempted to produce solutions for a few large-scale and global logistics firms. Hence, the digital transformation process involving blockchain technology for a logistics company encounters the challenge of selecting an appropriate blockchain platform for the logistics industry's needs. Although studies have been carried out in the relevant literature to select a suitable blockchain platform for various industries, few of these studies dealt with selecting the best blockchain platform for the logistics industry. Hence, experimental studies on choosing the proper blockchain platform in the logistics industry that tries to manage outstandingly complicated relations and linkages among stakeholders are currently inadequate. The current study presents a novel, robust, practical, and powerful decision-making tool that can also overcome highly complex uncertainties to identify the most feasible blockchain technology for the logistics industry. The robustness of the study's findings is validated with comprehensive sensitivity and comparative analyses.
Citation Count: 0
BWM ve CoCoSo Yöntemleri Kullanılarak Kentlerin Raylı Sistem Performanslarının Karşılaştırmalı Analizi
(2022) Görçün, Ömer Faruk; Görçün, Ömer Faruk
Kentsel ulaşım sisteminin performansının ölçülmesi, mevcut kentsel ulaşım sistemlerinin iyileştirilmesi ve geliştirilmesinde kritik öneme sahiptir. Mevcut makale, kentsel raylı ulaşım sistemlerini değerlendirmek için hibrit bir karar verme modeli önermektedir. Önerilen model, En İyi ve En Kötü Yöntem (BWM) ile Kombine Uzlaşma Çözümü (CoCoSo) tekniklerinin entegre edilmesine dayanmaktadır. BWM yaklaşımı yardımıyla karar vericilerin en iyi ve en kötü tercihleri göz önünde bulundurularak kriter ağırlıkları belirlenir ve CoCoSo tekniği performanslarına göre alternatiflerin sıralanmasına yardımcı olur. Önerilen model, teknik, çevresel ve ekonomik açılardan belirlenen on üç kriterle ilgili olarak, metro raylı sistemlere sahip 30 Avrupa şehrinin kentsel raylı sistem performanslarını değerlendirmek için uygulandı. Çalışmanın sonunda birinci sıradaki şehrin en yüksek performansa sahip olan Saint Petersburg olduğu belirlendi. Ayrıca duyarlılık analizi sonucunda önerilen modelin güvenilir ve tutarlı sonuçlar sağladığı ve bu tür değerlendirme süreçlerine uygun karar desteği sağlayabileceği gözlemlenmiştir.
Citation Count: 14
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) Görçün, Ömer Faruk; Gorcun, Omer Faruk; Kundu, Pradip; Kucukonder, Hande
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 Count: 1
Determining the factors affecting transportation demand management and selecting the best strategy: A case study
(Elsevier Sci Ltd, 2024) Görçün, Ömer Faruk; Korucuk, Selcuk; Gorcun, Omer Faruk
Demand management in transportation services, as well as demand sustainability, demand planning, and demand implementation are critical components in service quality and environmental sustainability. It is evident that developing a transportation system, particularly one responsive to society's aspirations and demands, will result in long-term and sustainable success for enterprises. Transportation demand management and strategies can produce alternative perspectives at a desirable and sufficient level to handle problems in the field while considering the obstacles. Considering the elements influencing transportation demand management in logistics enterprises, this study aims to evaluate factors affecting transportation demand management and select the best strategy. The study was carried out on logistic firms with a corporate identity in the Turkish province of Samsun (Turkiye), engaged in international transportation activities to define the criteria affecting transportation demand management and select the best transportation demand strategy. The constituents from the literature review were analyzed using the q-rung orthopair fuzzy MCDA methodology. "Freight Transportation" was determined to be the most crucial measure affecting transportation demand management, while "Competition Legislation and Regulations Regulation" was the least important factor. The rapid expansion in the number of companies participating in freight transport and their capacity was evaluated as the essential aspect for the relevant logistics companies in transport demand management. The "Strategy for Prioritizing High Occupancy Vehicles" is the best transportation strategy based on the weights of the transportation demand management factors. Because of the implementation of this strategy in logistics organizations, this study is regarded as a significant indicator of competitiveness to ensure efficiency and effectiveness. The defined transport demand strategy also represents an exemplary model of the measures that need to be developed to increase the demand preference for sustainable transport.
Citation Count: 10
Efficiency analysis of Black sea container seaports: application of an integrated MCDM approach
(Routledge, 2020) Görçün, Ömer Faruk
The current paper carries out an examination about the selection of the proper container seaport, which in the Black sea region. This paper focuses on a research question. Is it possible to apply multi-criteria decision-making methods that can be applied more easily than the DEA technique for decision-makers? In order to determine the best performance analysis technique that can give successful results, two-hybrid multi-criteria decision-making models were selected and operational performances of the container ports in the Black Sea region were analyzed with the help of these integrated approaches. While the first MCDM model consists of the entropy and OCRA technique, the second hybrid model consists of the Entropy and EATWIOS method. The main aim of this paper is to discuss whether these proposed hybrid models can be implemented to make an effective performance analysis for the maritime industry. The second aim of this paper is to evaluate the Black sea container seaports with the help of this suggested model. The study reveals that the proposed MCDM models can be implemented for container port selection successfully and easily and both of them have given very closer results to each other in aspects of the evaluation of the criteria and options.
Citation Count: 8
Efficiency analysis technique with input and output satisficing approach based on Type-2 Neutrosophic Fuzzy Sets: A case study of container shipping companies
(Pergamon-Elsevier Science Ltd, 2023) Görçün, Ömer Faruk; Gorcun, Omer Faruk; Canakcioglu, Mustafa; Tirkolaee, Erfan Babaee
This work tries to discuss and evaluate the advantages and superiorities of the extended Efficiency Analysis Technique with Input and Output Satisficing (EATWIOS) method based on Type-2 Neutrosophic Fuzzy Numbers (T2NFNs). The suggested model is maximally stable and robust by considering sensitivity analysis results which demonstrates a new performance analysis approach based on T2NFN sets. The proposed model deals with the input and output criteria and considers existing uncertainties arising from insufficient information and the dy-namic structure of the industries. The model's basic algorithm has a unique structure compared to the previous performance analysis technique, and it does not require applying additional weighting techniques to identify the criteria weights. To the best of our knowledge, the extended version of the EATWIOS technique based on the T2NFN set is presented for the first time. The developed model provides reasonable and logical results to practitioners because it deals with satisfactory outputs instead of optimal outputs. This model is an immensely strengthened version of the EATWIOS technique, as the T2NFN sets treat predictable and unpredictable un-certainties. The suggested T2NFN-EATWIOS is then applied to a real-world assessment problem in the container shipping industry. The obtained results are pretty reasonable and logical. Moreover, the results of a compre-hensive sensitivity analysis with three stages approve the robustness of the suggested model.
Citation Count: 0
ENDÜSTRİ 4.0: LOJİSTİK VE TEDARİK ZİNCİRİ YÖNETİMİNDE TEKNOLOJİ KULLANIMI EĞİLİMLERİ
(ERZURUM KÜLTÜR VE EĞİTİM VAKFI, 2019) Görçün, Ömer Faruk; Görçün, Ömer Faruk
Geçmişte olmadığı kadar tüketicilerin daha özelleştirilmiş ve kişiselleştirilmiş talepte bulunuyor olmaları lojistik uygulamaların her müşterinin gereksinimlerini en üst düzeyde karşılayabilecek, buna karşılık minimum maliyet ile bu gereksinimlere cevap verebilecek durumda olmasını gerektirmektedir. Bu nedenle, lojistik faaliyetlerin gereksinim duyduğu en iyileştirme uygulamaları; mümkün olan en kısa zamanda çözümler yaratabilecek ve bu çözümleri her süreçte daha da iyileştirebilecek sistemlere ihtiyaç duymaktadır. Bu kapsamda problemlerin etkin bir biçimde çözümü ile bu sistemlerin etkinliği, hızı ve verimliliği arasında bir korelasyon olduğu görülebilmektedir. Yakın bir gelecekte bu teknolojilerin ve sistemlerin alanlarını daha da genişleterek otonom olarak bu operasyonları gerçekleştirebilir hale gelebileceklerine yönelik güçlü deliller mevcuttur. Bu çalışma lojistik ve tedarik zinciri alanında söz konusu olan gelişmelere ve yaklaşımlara odaklanmakta, yakın bir gelecekte lojistik faaliyetlerin oynayabileceği yeni rolleri göz önüne sermeyi hedeflemektedir. Çalışmada gözlem ve analiz yöntemleri kullanılmış, farklı ölçeklerde lojistik faaliyet yürüten işletmelerin yanı sıra, lojistik hizmet talebinde bulunan endüstrilerin bu alanda gerçekleştirdikleri ilerlemeler ve gelişmeler dikkate alınmıştır.
Citation Count: 0
Entegre Entropi ve EATWOS Yöntemleri Kullanılarak Karadeniz Konteyner Limanlarının Verimlilik Analizi
(2019) Görçün, Ömer Faruk
Karadeniz Bölgesi küresel ticaret için son derece önemlibir bölgedir. Kısa mesafe deniz taşımacılığı ile denizotobanları yaklaşımlarının Avrupa Birliğinin gündemindeolması Karadeniz limanlarının önemini her geçen günartırmaktadır. Dolayısıyla Karadeniz limanlarının performansları yakın gelecekte gösterecekleri gelişme veilerlemelere büyük ölçüde etki edebilecek faktörlerolabilecektir. Limanların etkinlik ve verimlilikleri çoksayıda değişken ve faktör tarafından etkilendiği içinsistematik ve yapısal bir çerçeve olarak kullanılabilecekçok kriterli karar verme yöntemlerinin kullanılmasıgerekmektedir. Bu çalışmada entropi ve EATWOS yöntemleri entegre edilerek oluşturulan bir hibrid modelKaradeniz limanlarının etkinlik ve verimlilik analizi içinkullanılması önerilmektedir. Bu yöntem sayesinde eldeedilecek çıktıların lojistik süreçlerde yer alan aktörlerindışında yatırımcılar ve kamu otoriteleri tarafından dakullanılabilir bir nitelik taşıyacağı öngörülmektedir.
Citation Count: 13
Evaluating and selecting sustainable logistics service providers for medical waste disposal treatment in the healthcare industry
(Elsevier Sci Ltd, 2023) Görçün, Ömer Faruk; Aytekin, Ahmet; Korucuk, Selcuk; Tirkolaee, Erfan Babaee
Health institutes are structurally growing depending on the population increase and escalating demands for health services. As a negative result, the health industry produces more healthcare waste daily. Its efforts and resources cannot be sufficient to dispose of such medical wastes as the quantity and variety continue to increase. Therefore, developing solution partnership relations with logistics service providers specialized in collecting, storing, and disposing healthcare waste may be a beneficial and fruitful step for solving this problem. However, the evaluation and selection of service suppliers for healthcare waste disposal may not always result in success. Hence, the present work develops a robust integrated methodology on the basis of Step-wise Weight Assessment Ratio Analysis (SWARA) and COmplex PRoportional ASsessment (COPRAS) techniques based on Interval-Valued Fermatean Fuzzy Sets (IVFFSs) for healthcare decision-makers to make more rational and optimal decisions concerning service supplier selection. The proposed model based on the IVFFSs can also overcome incredibly complicated uncertainties in the assessment processes. A large-scale international hospital chain in Turkey is investigated using the developed methodology to find reasonable and logical solutions to assess and select the best Medical Waste Disposal and Logistics (MWDL) firm. It is revealed that the most important criterion is Storage Conditions where Republic Services, Inc is the most successful supplier of MWDL. Finally, theoretical and practical implications are discussed in detail in order to provide useful managerial insights and decision aids to assist in improving the sustainability of healthcare industry.
Citation Count: 25
EVALUATING LOGISTICS VILLAGES IN TURKEY USING HYBRID IMPROVED FUZZY SWARA (IMF SWARA) AND FUZZY MABAC TECHNIQUES
(Vilnius Gediminas Tech Univ, 2021) Görçün, Ömer Faruk; 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 Count: 0
Evaluating the deep learning software tools for large-scale enterprises using a novel TODIFFA-MCDM framework
(Elsevier, 2024) Gligoric, Zoran; Görçün, Ömer Faruk; Gorcun, Omer Faruk; Gligoric, Milos; Pamucar, Dragan; Simic, Vladimir; Kucukonder, Hande
Deep learning (DL) is one of the most promising technological developments emerging in the fourth industrial revolution era for businesses to improve processes, increase efficiency, and reduce errors. Accordingly, hierarchical learning software selection is one of the most critical decision-making problems in integrating neural network applications into business models. However, selecting appropriate reinforcement learning software for integrating deep learning applications into enterprises' business models takes much work for decision-makers. There are several reasons for this: first, practitioners' limited knowledge and experience of DL makes it difficult for decision-makers to adapt this technology into their enterprises' business model and significantly increases complex uncertainties. Secondly, according to the authors' knowledge, no study in the literature addresses deep structured learning solutions with the help of MCDM approaches. Consequently, making inferences concerning criteria that should be considered in an evaluation process is impossible by considering the studies in the relevant literature. Considering these gaps, this study presents a novel decision-making approach developed by the authors. It involves the combination of two new decision-making approaches, MAXC (MAXimum of Criterion) and TODIFFA (the total differential of alternative), which were developed to solve current decision-making problems. When the most important advantages of this model are considered, it associates objective and subjective approaches and eliminates some critical limitations of these methodologies. Besides, it has an easily followable algorithm without the need for advanced mathematical knowledge for practitioners and provides highly stable and reliable results in solving complex decision-making problems. Another novelty of the study is that the criteria are determined with a long-term negotiation process that is part of comprehensive fieldwork with specialists. When the conclusions obtained using this model are briefly reviewed, the C2 "Data Availability and Quality" criterion is the most influential in selecting deep learning software. The C7 "Time Constraints" criterion follows the most influential factor. Remarkably, prior research has overlooked the correlation between the performance of Deep Learning (DL) platforms and the quality and accessibility of data. The findings of this study underscore the necessity for DL platform developers to devise solutions to enable DL platforms to operate effectively, notwithstanding the availability of clean, high-quality, and adequate data. Finally, the robustness check carried out to test the validity of the proposed model confirms the accuracy and robustness of the results obtained by implementing the suggested model.
Citation Count: 2
Evaluation of container port sustainability using WASPAS technique using on type-2 neutrosophic fuzzy numbers
(Pergamon-Elsevier Science Ltd, 2023) Görçün, Ömer Faruk; Kundu, Pradip; Gorcun, Omer Faruk
According to the common opinion in the literature, the sustainability of container ports is a tremendously complex topic owing to the maritime sector's excessively dynamic form and many highly complex, predictable and unpredictable uncertainties in this industry. The current paper proposes two powerful, practical, inspiring approaches to fill these gaps. It proposes a novel type-2 neutrosophic fuzzy numbers (T2NFNs) based Delphi method to determine the criteria logically and optimal and extends the WASPAS technique based on the T2NFNs for evaluating the alternatives. The current paper presents practical managerial implications that many stakeholders can consider, such as port authorities, ship owners, logistics service providers, governments, and local authorities, when making strategic and managerial decisions. In addition, the results of a comprehensive sensitivity analysis performed to test the robustness and applicability of the model approve the validity of the proposed T2NFN-based integrated approach.
Citation Count: 0
Evaluation of Industry 4.0 strategies for digital transformation in the automotive manufacturing industry using an integrated fuzzy decision-making model
(Elsevier Sci Ltd, 2024) Görçün, Ömer Faruk; Mishra, Arunodaya Raj; Aytekin, Ahmet; Simic, Vladimir; Korucuk, Selcuk
The current paper proposes a methodological frame to identify the best Industry 4.0 (I4) strategy for the automotive manufacturing industry as a roadmap for companies to make a more straightforward digital transformation. We noticed a critical research gap when we performed an extensive literature review. Although there are many studies available that assess the readiness of companies for I4, only a few deal with decision -making in terms of sustainable development, and none have applied that to the automotive industry. Practitioners can apply the proposed model to determine the strategy based on technological developments in I4. The current paper proposes an extended version of the combined compromise solution approach with the help of the picture fuzzy sets. According to the paper 's results, by using the proposed model, developing a new business model based on technological improvements is the best strategy for the digital transformation of the automotive industry. Also, the lack of research and development implementations on I4 implementation is the most influential factor. Hence, practitioners in the automotive industry know the significance of research and development in reaching successful results for digital transformation. The acquired outcomes of the paper show that developing technology -based new business models is the best strategy for the automotive manufacturing industry concerning digital transformation instead of accommodating traditional business models and high technology utilization.
Citation Count: 3
Evaluation of public transportation systems for sustainable cities using an integrated fuzzy multi-criteria group decision-making model
(Springer, 2023) Görçün, Ömer Faruk; Gorcun, Omer Faruk; Garg, Chandra Prakash; Kucukonder, Hande; Canakcioglu, Mustafa
In this era of increasing demand for mobility and rapid urban growth, there is a pressing need for a public transit system that is safe, fast, reliable, well-connected, and sustainable. Furthermore, it is essential to reduce the external costs associated with urban transportation, including environmental pollution, noise, congestion, and accidents, to foster sustainable cities. Choosing the right urban transportation system can meet this goal, but it is not an accessible business for decision-makers in the face of several conflicting criteria and ambiguities in the evaluation process. To cope with this, the current paper suggests a multi-criteria group decision-making (MCGDM) framework consisting of fuzzy BWM (Best-Worst method) and fuzzy MAIRCIA (Multi-Attribute Ideal-Real Comparative Analysis) techniques. This extended MCGDM approach has been applied to evaluate six urban transport systems, namely, Trams, Light Rail Trams, Metro (Subway), Bus Rapid Transport, Commuter Trains, and Public Buses based on 11 selection criteria which we have determined after consultation with highly experienced professionals. The fuzzy BWM technique is employed to identify the weights of the criteria. The fuzzy MAIRCA technique is utilized for ranking the alternatives using the calculated weights of the criteria. The proposed approach's validation has been examined with an extensive robustness check. The study is conducted from a general perspective, i.e., not restricted to a particular city. However, with the identified selection criteria, the proposed decision-making procedure can be repeated for a specific city considering any specific requirements, constraints, or limitations of that city.