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
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
5
GENDER EQUALITY
0
Research Products
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
10
Research Products
13
CLIMATE ACTION
1
Research Products
8
DECENT WORK AND ECONOMIC GROWTH
2
Research Products
14
LIFE BELOW WATER
0
Research Products
17
PARTNERSHIPS FOR THE GOALS
1
Research Products
1
NO POVERTY
1
Research Products
2
ZERO HUNGER
1
Research Products
4
QUALITY EDUCATION
3
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES
1
Research Products
16
PEACE, JUSTICE AND STRONG INSTITUTIONS
2
Research Products
3
GOOD HEALTH AND WELL-BEING
0
Research Products
6
CLEAN WATER AND SANITATION
0
Research Products
12
RESPONSIBLE CONSUMPTION AND PRODUCTION
2
Research Products
10
REDUCED INEQUALITIES
2
Research Products
15
LIFE ON LAND
0
Research Products
7
AFFORDABLE AND CLEAN ENERGY
3
Research Products
Documents
212
Citations
7900
h-index
47
Documents
0
Citations
0
Scholarly Output
39
Articles
32
Views / Downloads
0/0
Supervised MSc Theses
1
Supervised PhD Theses
2
WoS Citation Count
486
Scopus Citation Count
704
WoS h-index
10
Scopus h-index
13
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
Scopus Quartile Distribution
Competency Cloud
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 - 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.Article Citation - WoS: 1Temperature Distribution of Multipass Tig Welded Aisi 304 L Stainless Steel(Carl Hanser Verlag, 2011) Esme, Ugur; Bayramoglu, Melih; Serin, Hasan; Guven, Onur; Aydin, Hakan; Kazancoglu, YigitTungsten inert gas welding (TIG) is one of the most important material-joining processes widely used in industry. AISI type 304L stainless steel plates with 8 and 10 mm thicknesses are widely used in the fabrication of pressure vessels and other components. These plates are mostly joined together by multipass welding methods. The temperature distribution that occurs during multipass welding affects the material microstructure, hardness, mechanical properties, and the residual stresses that will be present in the welded material. Very limited experimental data regarding temperature distribution during multipass welding of plates is available in the literature. Experimental work was carried out to find out the temperature distribution during multipass welding of the AISI 304L stainless steel plates. The temperature distribution curves obtained during the experiments are presented. The average maximum temperature rise during each pass of welding is calculated and plotted against the distance from the weld pad centre line. From these plots, the maximum temperature rise expected in the base plate region during any pass of welding operation can be estimated.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: 4Process Capability Analysis in Machining for Quality Improvement in Turning Operations(Carl Hanser Verlag, 2012) Kahraman, Funda; Esme, Ugur; Kulekci, Mustafa Kemal; Kazancoglu, YigitProcess capability indices are effective tools for both, process capability analysis and quality assurance. In quality assurance programs, process capability indices reflect the performance of key quality characteristics for a control process. Quality assurance in mass production is enabled by using statistical process control techniques. In this study, various statistical process control techniques were carried out using the measured values taken from the workpieces that represent the whole process in the medium sized company. The chances for using statistical techniques for quality estimation processes have been discussed. For this purpose, normal probability plots and histograms were prepared and the process capability indices were calculated. As a result of this study, it turned out that the process capability for the whole process was inadequate and the mass production was unstable. Some actions must be taken by engineers to improve the quality level by shifting the process mean to target value and reducing the process variation.Review Article Cloud Manufacturing: a New Cloud Computing Model in Operations Management(Ege Univ, Fac Economics & Admin Sciences, 2016) Tayaksi̇, Cansu; Ada, Erhan; Kazancoglu, YigitTogether with information and communications technology, the concept of management and business conducting has been changing. Cloud computing, as one of those new technologies, gives dynamic services to businesses through the Internet. Cloud Computing makes the service reachable from everywhere, everytime with the pay-as-you-go system. It requires less management effort and workflow could be managed with less communication. As a business function, similar developments has been observed in operations management field. One of the new Technologies is Cloud Manufacturing system which has been developed under Cloud Computing applications. Aim of this new model is providing benefits like lower costs and higher performances, or increasing the market entry speed for businesses. In this study, conceptual structure of Cloud Manufacturing and the advantages has been investigated. Lastly, a business model has been presented that explains the logic flow and can be used as a road map for businesses.Article Citation - WoS: 16Citation - Scopus: 19Use of Grey-Taguchi Method for the Optimization of Oblique Turning Process of Az91d Magnesium Alloy(Carl Hanser Verlag, 2012) Buldum, Baris; Esme, Ugur; Kulekci, Mustafa Kemal; Sik, Aydin; Kazancoglu, YigitThis study investigated the multi-response optimization of turning process for an optimal parametric combination to yield minimum cutting forces and surface roughness with maximum material removal rate (MRR) using the combination of Grey relational analysis (GRA) and Taguchi method. Nine experimental runs based on an orthogonal array of Taguchi method were performed to derive objective functions to be optimized within experimental domain. The objective functions have been selected in relation to parameters of cutting process: cutting force, surface roughness and MRR. The Taguchi approach followed by Grey relational analysis to solve the multi-response optimization problem. The significance of factors on overall quality characteristics of the cutting process has also been evaluated quantitatively by the analysis of variance method (ANOVA). Optimal results have been verified through additional experiments. This shows proper selection of the cutting parameters produces, high material removal rate with better surface roughness and lower cutting force.Conference Object Citation - Scopus: 1Integrated Fuzzy Topsis and Goal Programming Technique for Machine Selection Problem: an Application(Computers and Industrial Engineering, 2014) Ada E.; Kazançoğlu, Yiğit; Sagnak M.Globalization forces firms to adapt to changing market conditions and increased uncertainty. Shorter product life cycles, changing and increased customer expectations, and technological developments have specially suppressed manufacturing firms. In order to increase firms' performance and efficiency, machine and equipment selection is one of the most important decisions. In this study, the machine selection problem is solved by integrated fuzzy TOPSIS and goal programming techniques. The aim of the study is to provide managers meaningful support about machine selection problem. The criteria for machine selection are determined by literature review and managers' judgments. In the proposed method, the criteria weights are determined by fuzzy TOPSIS, and then the final selection of alternatives are made by goal programming.
