Kazançoğlu, Yiğit
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Kazancoglu, Y.
Kazançoǧlu, Y.
Kazancoglu, Yigit
Kazancoglu, Yiğit
Kazançoǧlu, Yigit
Kazançoǧlu, Y.
Kazancoglu, Yigit
Kazancoglu, Yiğit
Kazançoǧlu, Yigit
Job Title
Email Address
yigit.kazancoglu@ieu.edu.tr
Main Affiliation
03.02. Business Administration
Status
Former Staff
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ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
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WoS Researcher ID
Sustainable Development Goals
1NO POVERTY
1
Research Products
2ZERO HUNGER
1
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3GOOD HEALTH AND WELL-BEING
0
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4QUALITY EDUCATION
3
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5GENDER EQUALITY
0
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6CLEAN WATER AND SANITATION
0
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7AFFORDABLE AND CLEAN ENERGY
4
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8DECENT WORK AND ECONOMIC GROWTH
2
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
10
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10REDUCED INEQUALITIES
2
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11SUSTAINABLE CITIES AND COMMUNITIES
1
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
2
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13CLIMATE ACTION
1
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14LIFE BELOW WATER
0
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15LIFE ON LAND
0
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
2
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17PARTNERSHIPS FOR THE GOALS
1
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Documents
212
Citations
7900
h-index
47

Documents
0
Citations
0

Scholarly Output
39
Articles
32
Views / Downloads
24/47
Supervised MSc Theses
1
Supervised PhD Theses
2
WoS Citation Count
486
Scopus Citation Count
704
Patents
0
Projects
0
WoS Citations per Publication
12.46
Scopus Citations per Publication
18.05
Open Access Source
9
Supervised Theses
3
| Journal | Count |
|---|---|
| Materıals Testıng | 8 |
| Materıalı in Tehnologıje | 3 |
| Savunma Bilimleri Dergisi | 2 |
| Materiali in Tehnologije | 2 |
| Ege Academıc Revıew | 1 |
Current Page: 1 / 5
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38 results
Scholarly Output Search Results
Now showing 1 - 10 of 38
Conference Object Citation - WoS: 5Citation - Scopus: 6A Fuzzy Logic-Based Qfd To Identify Key Factors of E-Learning Design(Elsevier Science Bv, 2011) Kazancoglu, Yigit; Aksoy, MuratBecause of increasing usage of Internet, online learning has become more important issue for sustainable distance education. In order to use the internet as an effective education tool, there are many important factors in e-learning design such as web interface, e-learning software etc. The purpose of this research is to identify key factors in the e-learning design process and evaluate these identified factors by using fuzzy logic-based Quality Function Deployment. Comparisons of the experts' opinions were used to identify and analyze the relationship between customer needs and technical requirements. Finally, key factors were identified and ranked for e-learning systems. (C) 2011 Published by Elsevier Ltd.Article Citation - WoS: 89Citation - Scopus: 106Integration of Green Lean Approach With Six Sigma: an Application for Flue Gas Emissions(Elsevier Sci Ltd, 2016) Sağnak, Muhittin; Kazançoğlu, YiğitEnvironmental considerations have led organizations to take an important role in designing environmentally-friendly, recyclable products to complement improvements in the environmental standards of services. In this context, the application of lean practices may result in pollution reduction. In this paper, firstly, the integration of green lean approach is discussed, and then the limitations of green lean approach are identified. Finally, we integrate the Six Sigma approach in order to overcome these limitations, and assess the performance of the green lean approach. Measurement System Analysis and Gage Control are used as methodology to measure the variations of the process in order to decrease unfavorable ecological impacts of companies' products or services, while enhancing environmental efficiency. (C) 2016 Elsevier Ltd. All rights reserved.Article Citation - Scopus: 29E-Government Website Evaluation With Hybrid Mcdm Method in Fuzzy Environment(Inderscience Publishers, 2012) Burmaoglu S.; Kazancoglu Y.E-government websites play an important role in the knowledge society not only by accelerating bureaucratic procedures but also enhancing citizen commitment to democracy. The acceptance of democracy (in its fullest sense) means considering the citizen as customer, making citizen satisfaction the ultimate target. Therefore, in addition to web design characteristics, e-service and e-democracy are taken into account in e-government website evaluation. Fuzzy logic is employed due to the properties of the evaluation process. Experts evaluated the criteria weights using fuzzy AHP, and the e-government websites from a group of selected EU countries using fuzzy VIKOR as a multi-criteria decision making (MCDM) technique, and a ranking was obtained. The unique properties of the paper can be listed as the formation of criteria using two kinds of fuzzy numbers, combining two MCDM methods, and applying this methodology to the problem of website evaluation for the first time. Copyright © 2012 Inderscience Enterprises Ltd.Article Citation - WoS: 8Citation - Scopus: 10Scheduling Jobs Through Multiple Parallel Channels Using an Expert System(Taylor & Francis Ltd, 2007) Soyuer, H.; Kocamaz, M.; Kazancoglu, Y.In recent years, as a result of global competition, the efficiency and effectiveness of business processes are becoming much more critical than ever. Information technology constitutes a critical role as a strategic competitive tool in the global business market. In the previous paradigm, the holistic view was missing and ultimately did not contain real life constraints. The new paradigm is based on the systems approach and represents the real life circumstances of production with applicable and sufficient models. This study is based on an expert system for the scheduling of a manufacturing system. The expert system works with a unique algorithm, which has been developed in this paper. The aim is to develop an expert scheduling system which is realistic and applicable to real life situations. Job specification, machine competence, due date, earliest completion and minimum set up time are the factors which have been taken into account to achieve this aim. As a result, the algorithm achieves both applicability and optimality in solution.Article Citation - WoS: 10Citation - Scopus: 20A Fuzzy Logic-Based Quality Function Deployment for Selection of E-Learning Provider(Turkish Online Journal Educational Tech-Tojet, 2011) Kazancoglu, Yigit; Aksoy, MuratAccording to the Internet World Stats (2010), the growth rate of internet usage in the world is 444.8 % from 2000 to 2010. Since the number of internet users is rapidly increasing with each passed year, e-learning is often identified with web-based learning. The institutions, which deliver e-learning service via the use of computer and internet, are responsible to choose the most suitable e-learning service provider for effective distance education. The purpose of this research is to identify the e-learning design requirements and to select the most suitable e-learning service provider. In this research, fuzzy logic - based Quality Function Deployment (QFD) was employed. A questionnaire was conducted in order to collect the data from a group of experts who were selected on the basis of their knowledge and expertise in related industry. By using the Converting Fuzzy data into Crisp Scores (CFCS) technique, the collected data was defuzzified. Then, the critical success factors of e-learning service providers were identified. As a result, fuzzy logic-based QFD was utilized for the selection of the e-learning service providers.Article Citation - WoS: 5Citation - Scopus: 5The Use of Artificial Neural Networks in Predicting Fatigue Life of Friction Stir Welded Lap Joints of Aa 5754(Sampe Publishers, 2010) Esme, Ugur; Kulekci, M. Kemal; Kazancoglu, YigitFriction stir welding (FSW) is currently being widely investigated in the aerospace industry for joining high strength Al-alloys that are difficult to weld using conventional fusion techniques. The quality of the process mainly depends on the pin diameter, pin height, tool rotation and traverse speed. In the present work, an artificial neural network (ANN) method was used for modeling and predicting the fatigue life of friction stir welded lap joints of AA5754 aluminum alloy. The ANN model of fatigue life is developed with the welding parameters such as pin diameter, pin height, tool rotation, traverse speed and with the weld property of fatigue strength. The experimental results were trained in an ANN program and the results were compared with experimental values. It is observed that the experimental results coincided with ANN results.Article Citation - WoS: 3Benchmarking Service Quality Performance of Airlines in Turkey(Eskisehir Osmangazi Univ, Fac Education, 2013) Kazancoglu, Yigit; Kazancoglu, IpekThe aim of this study is to determine service quality factors of Turkish domestic airlines as well as ranking and benchmarking firms according to these factors using a fuzzy multicriteria decision making (MCDM) model. Exploratory factor analysis and fuzzy integral were used for extracting some independent common-factors and integrating the performance ratings of independent attributes in each common-factor, respectively. This paper is innovative in the sense that it helps airlines to identify key service quality factors, rank or benchmark firms in the industry through a fuzzy MCDM point of view, and provide an individual road map for improvement to each firm in a developing country, Turkey. This study is original in the sense that it helps firms compare their service quality criteria with competitors, identify performance insufficiencies by criteria, and choose the target competitors for improving the insufficiencies by identified and prioritized criteria through benchmarking.Doctoral Thesis Information Technology, Its Market Value and Related Risks on Manufacturing and Service Firms(İzmir Ekonomi Üniversitesi, 2017) Tayaksi̇, Cansu; Kazançoğlu, Yiğit; Baklaci, Hasan Fehmiİşletmeler için, bilgi kalıcı bir varlıktır ve şirketin diğer değerli varlıkları gibi korunması gerekmektedir (ISO / IEC 27002, 2013; Misra vd., 2007). Günümüz dünyasında işletmeler için rekabet artmaktadır ve verinin varlığı firmaların bu koşullar altında hayatta kalması için çok önemlidir (Borek vd., 2013). Siber sistemler ayrıca Bilişim ve İletişim Teknolojileri (BİT) olarak da bilinir ve ana iş süreçleri ile bu teknolojileri birleştirmenin işlemlerin verimliliğinin artışı, karar kalitesinin iyileştirilmesi ve maliyet düşüşü gibi pek çok avantajı vardır. Bilgi sistemleri ve ilgili teknolojilerin, akıllı telefonlardan akıllı şebekelerin kullanımına kadar modern hayatın neredeyse her yönüne ulaştığı görülmektedir; bu 21. yüzyılın yaşam biçimi olarak benimsenmiştir. Elbette bu yeni yaşam tarzı, güvenlik ve güvence sorunları gibi dezavantajlarını beraberinde getirmektedir (Mailloux, 2013). Bilgisayar Acil Müdahale Ekibi (CERT) Koordinasyon Merkezi, internet üzerinden işletmelere yapılan saldırıların 1997'den bu yana neredeyse her yıl ikiye katlandığını belirtmektedir (CERT, 2004). Bilgi sistemlerinin güvenlik konusundaki ihlallerinin maliyeti işletmeler için yüksektir (Sun vd., 2006). Bu sorunlar hem imalat hem de hizmet firmaları için büyük maliyetlere yol açmaktadır. 2010 yılında 738 kuruluşla gerçekleştirilen Bilgisayar Güvenlik Enstitüsü Bilgisayar Suç ve Güvenlik Araştırması'na göre, bilgi sistemleri güvenliği ile ilgili konular nedeniyle toplam 190 milyon dolarlık tahmini yıllık zarar oluşmuştur (Gordon vd., 2010). Bilgi teknolojisinin kullanımını operasyonları ile birleştiren firmalar, bu sürecin getirebileceği bazı olumsuz sonuçlarla uğraşmalıdır. Bu tür sorunların ortaya çıkması durumunda firma süreci iyi bir şekilde yönetmelidir. Firmalar daha iyi bir yönetim için daha iyi ve daha derin bir anlayış düzeyine sahip olmalıdır. Daha yüksek bir anlayıştan sonra firmanın stratejisi daha düzgün bir şekilde düzenlenebilir. Doğal olarak, firma yöneticileri, risk olaylarının finansal etkilerinden daha fazla endişe duymakta, paydaşların durumlara tepkileri ve bunun firma üzerindeki ekonomik etkileri konusuna önem vermektedirler. Bu tez, bilgi teknolojisi ve bilgi teknolojisi ile birlikte gelen gizlilik ihlalleri risklerinin imalat ve hizmet alanında faaliyet gösteren firmalar üzerindeki etkilerini incelemek için olay etüdü yöntemini kullanmaktadır. Olay etüdü, halka açıklanan duyuruların, borsada işlem gören şirketlerin hisse senedi fiyatları üzerindeki etkilerini incelemek için kabul gören bir yöntem olup, ilgili çalışmalar 1960'ların sonlarından beri literatürde yerini almıştır. Fama'nın etkin piyasalar hipotezinin (1970) piyasaların "bilgi açısından verimli" olduğunu ve hisse senedi fiyatlarının bir firmanın mevcut tüm bilgilerini yansıttığını öne sürmesi ile olay etüdü yöntemi için somut bir teorik temel oluşmaktadır. Fama (1991), ayrıca bir şirkette yeni teknoloji kullanımının başlaması gibi pazarda yeni bir bilgi varsa, menfaat sahiplerinin görüşlerini şirketin hisse senedi fiyatlarına yansıtacağı ve firmanın değerinde bir değişiklik olacağını belirtmiştir. Kısacası, bilgi duyurusu nedeniyle firma değeri üzerinde olumlu (yukarı doğru) bir etki yaşanabilir (Konchitcki, 2011). Yöntemin altında yatan ilke, beklenmedik bir olayın bir firmanın hisse senedi fiyatlarında olumlu ya da olumsuz tepkilere neden olacağı ve hisse senedi fiyatlarının getirisinin anormal hale geleceği beklentisine dayanır. Bir firmanın normal getiri tahmini önceki hisse senedi getirilerinden türetilir ve gerçek getiriden çıkartıldığında anormal getiri elde edilebilir. Hesaplama olumlu sonuçlar verirse, olayın firmanın hisse fiyatına etkisi olumlu olarak kabul edilir. Benzer şekilde, eğer sonuç negatif olarak çıkar ise, hisse senedi fiyatlarına olan etki negatif olarak kabul edilir. Güvenlikle ilgili oluşan olaylardan sonra hisse senedi üzerinde beklenen getiri, farklı çalışmalarda çeşitli şekillerde hesaplanmıştır. Bu tez, aralarında sonuçları karşılaştırmak için üç ana modeli kullanacaktır. Tez içerisinde kullanılan modeller, piyasa modeli, piyasa getirisi ile düzeltilmiş ve ortalama ile düzeltilmiş modellerdir. Tezdeki araştırma soruları bu üç model kullanılarak cevaplanmaktadır.Article Risks to Energy Efficiency in Supply Chain Resilience: From an Emerging Economy Context(Taylor & Francis Ltd, 2025) Ayranci, Gonul; Ozbiltekin-Pala, Melisa; Mangla, Sachin Kumar; Kazancoglu, YigitSupply chains, involving multiple stakeholders and complex operations, are vulnerable to disruptions; therefore, ensuring their resilience is crucial. Recently, the concept of an energy-efficient supply chain has gained attention, because it reduces costs and supports social and environmental development. However, many risks arise while improving energy efficiency in supply chains, and it is important to identify these risks, particularly in emerging economies. This study identifies these risks and their interrelations through literature review and expert opinions. By integrating Bayesian Belief Network and Monte Carlo Simulation, scenario analyses are conducted to explore the possible consequences of these risks, and the study finds that natural events are the most critical risks to energy efficiency in supply chain resilience. It contributes to the small body of literature on risks to energy efficiency in supply chain resilience, and innovatively applies scenario analysis to these risks, providing managers and practitioners with valuable insights.Article Citation - WoS: 1Modeling and Optimization of Cnc Milling of Aisi 1050 Steel by a Regression Based Differential Evolution Algorithm (dea)(Carl Hanser Verlag, 2016) Esme, Ugur; Kulekci, Mustafa Kemal; Ustun, Deniz; Buldum, Baris; Kazancoglu, Yigit; Ocalir, SerefThe present study is aimed at finding an optimization strategy for the CNC pocket milling process based on regression analysis including differential evolution algorithm (DEA). Milling parameters such as cutting speed, feed rate and depth of cut have been designed using rotatable central composite design (CCD). The AISI 1050 medium carbon steel has been machined by a high speed steel (HSS) flat end cutter tool with 8 mm diameter using the zig-zag cutting path strategy under air flow condition. The influence of milling parameters has been examined. The model for the surface roughness, as a function of milling parameters, has been obtained using the response surface methodology (RSM). Also, the power and adequacy of the quadratic mathematical model have been proved by analysis of variance (ANOVA) method. Finally, the process design parameters have been optimized based on surface roughness using bio-inspired optimization algorithm, called differential evolution algorithm (DEA). The enhanced method proposed in this study can be readily applied to different metal cutting processes with greater and faster reliability.

