Çaloğlu Büyükselçuk, Elif
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Buyukselcuk, E.C.
Buyukselcuk, Elif Caloglu
Büyükselçuk, E.Ç.
Büyükselçuk, Elif Çaloğlu
Büyükselçuk, E.C.
Buyukselcuk, Elif Caloglu
Büyükselçuk, E.Ç.
Büyükselçuk, Elif Çaloğlu
Büyükselçuk, E.C.
Job Title
Doktor Öğretim
Email Address
elif.buyukselcuk@fbu.edu.tr
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Endüstri Mühendisliği Bölümü
Endüstri Mühendisliği Bölümü
Endüstri Mühendisliği Bölümü
Endüstri Mühendisliği Bölümü
Endüstri Mühendisliği Bölümü
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Sustainable Development Goals
7
AFFORDABLE AND CLEAN ENERGY
2
Research Products
8
DECENT WORK AND ECONOMIC GROWTH
1
Research Products
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
6
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES
1
Research Products
12
RESPONSIBLE CONSUMPTION AND PRODUCTION
3
Research Products
17
PARTNERSHIPS FOR THE GOALS
2
Research Products
Scholarly Output
16
Articles
11
Citation Count
15
Supervised Theses
0
16 results
Scholarly Output Search Results
Now showing 1 - 10 of 16
Conference Object Citation - Scopus: 1Cold Chain Logistics Firm Selection by Using Ahp-Vikor Integrated Method and a Case Study in Food Industry(Springer Science and Business Media Deutschland GmbH, 2020) Buyukselcuk, E.C.; Endüstri Mühendisliği BölümüWith the Industry 4.0, a new trend has started for all sectors and enterprises have entered into a period of intense working and investment to turn into intelligent systems. Cold chain logistics also has the same trend, and companies have pushed the button to be involved in this process. Due to changing lifestyles and generally decreasing prices, the world market for perishable products such as processed foods and cooled products is growing. Cold chain transportation is an important issue in basic food and health product logistics to prevent the growth of harmful microorganisms and to ensure that the products remain intact. In this study, it is aimed to determine the right cold chain logistics firm for company EDB that is a small and medium-sized enterprise (SME) operating in the food industry. Firstly, the selection criteria are defined according to the literature survey and expert views. AHP approach has been used to calculate the weight of them. After the determination of weight of criteria, VIKOR approach has been used to identify the best cold chain logistics firm for company EDB. The results were obtained by using Expert Choice 11.0 and Excel calculator finally the best one has been determined. © 2020, Springer Nature Switzerland AG.Article Pisagor Bulanık Sayılara Dayalı Crıtıc-marcos Yöntemi İle Otonom Forklift Seçimi(2024) Büyükselçuk, Elif Çaloğlu; Endüstri Mühendisliği BölümüÜretim ve depolama işletmelerinde forkliftler işletmenin verimliliğini arttırmak amacıyla yaygın olarak kullanılmaktadır. Özellikle son yıllarda teknolojide yaşanan gelişmeler ve Endüstri 4.0 uygulamaları ile otonom forkliftler modern işletmelerde klasik forkliftlerin yerini almaktadır. Çevre dostu ve 24 saat çalışabilen bu araçlar ile işletme bünyesinde verim artırılırken aynı zamanda insan hatasından kaynaklı kazalar da önlenebilmektedir. Bu çalışma, modern işletmelere otonom forklift belirleme sürecinde destek olmak üzere geliştirilmiştir. Bu araçların seçiminde hangi kriterlerin dikkate alınması gerektiği literatür taraması sonucunda belirlenmiştir. Bu süreçte yaşanabilecek belirsizlik ve sübjektifliğin etkilerini en aza indirebilmek amacıyla Pisagor bulanık sayılardan yararlanarak problem çözülmüştür. CRITIC (Criteria Importance Through Intercriteria Correlation) yöntemi ile kriterlere ait ağırlıklar belirlendikten sonra MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) yöntemi kullanılarak alternatifler değerlendirilmiştir. Sonuç olarak, belirlenen sekiz farklı kriter içerisinden şarj süresi, dönme yarıçapı ve maksimum kaldıracağı yük miktarı en önemli kriter olarak belirlenmiştir. Farklı değerlendirme kriterleri için en iyi alternatif olarak Kuzey Amerika’da üretilen A7 alternatifi belirlenmiştir.Article Citation - WoS: 14Citation - Scopus: 14The Best Whey Protein Powder Selection Via Vikor Based on Circular Intuitionistic Fuzzy Sets(Mdpi, 2023) Buyukselcuk, Elif Caloglu; Sari, Yigit Can; Endüstri Mühendisliği BölümüPeople try very hard to have a symmetrical, strong, and beautiful body. The human body needs high amino acids for muscle protein synthesis. Whey protein is a good choice that contains all amino acids, which increases muscle protein synthesis and improves body shape with resistance exercise. For this reason, those who do sports, especially professionals, prefer to use these products frequently. A large number of commercial whey protein powders are sold on the market, and to achieve maximum purpose, individuals want to use the best one. Intuitionistic fuzzy sets are used in order to minimize the negative effects of the uncertainty environment and ambiguous information encountered in the decision-making process on the solution. In this study, VIKOR, based on the circular intuitionistic fuzzy set, has been used to determine the best whey protein supplement. In line with the comprehensive literature review and expert opinions, the evaluation criteria affecting the selection process have been determined, and the solution of the problem has been focused.Article Citation - WoS: 9Citation - Scopus: 12Evaluation of Industrial Iot Service Providers With Topsis Based on Circular Intuitionistic Fuzzy Sets(Tech Science Press, 2024) Buyukselcuk, Elif Caloglu; Endüstri Mühendisliği BölümüIndustrial Internet of Things (IIoT) service providers have become increasingly important in the manufacturing industry due to their ability to gather and process vast amounts of data from connected devices, enabling manufacturers to improve operational efficiency, reduce costs, and enhance product quality. These platforms provide manufacturers with real-time visibility into their production processes and supply chains, allowing them to optimize operations and make informed decisions. In addition, IIoT service providers can help manufacturers create new revenue streams through the development of innovative products and services and enable them to leverage the benefits of emerging technologies such as Artificial Intelligence (AI) and machine learning. Overall, the implementation of IIoT platforms in the manufacturing industry is crucial for companies seeking to remain competitive and meet the ever-increasing demands of customers in the digital age. In this study, the evaluation criteria to be considered in the selection of IIoT service provider in small and medium-sized (SME) manufacturing enterprises will be determined and IIoT service providers alternatives will be evaluated using the technique for order preference by similarity to an ideal solution (TOPSIS) method based on circular intuitionistic fuzzy sets. Based on the assessments conducted in accordance with the literature review and expert consultations, a set of 8 selection criteria has been established. These criteria encompass industry expertise, customer support, flexibility and scalability, security, cost-effectiveness, reliability, data analytics, as well as compatibility and usability. Upon evaluating these criteria, it was observed that the security criterion holds the highest significance, succeeded by cost-effectiveness, data analytics, flexibility and scalability, reliability, and customer support criteria, in descending order of importance. Following the evaluation of seven distinct alternatives against these criteria, it was deduced that the A6 alternative, a German service provider, emerged as the most favorable option. The identical issue was addressed utilizing sensitivity analysis alongside various multi-criteria decision-making (MCDM) methods, and after comprehensive evaluation, the outcomes were assessed. Spearman's correlation coefficient was computed to ascertain the association between the rankings derived from solving the problem using diverse MCDM methods.Article Elektrikli Kamyon Seçiminde Dairesel Sezgisel Bulanık Kümelere Dayalı Vıkor Yönteminin Uygulanması(2024) Büyükselçuk, Elif Çaloğlu; Endüstri Mühendisliği BölümüArtan nüfus ve gelişen küresel tüketici davranışları, dünya çapında kapsamlı ticari etkileşimleri teşvik etti. Ancak bu genişleme çevre kirliliğinin artmasına neden oldu. Sonuç olarak ülkeler, özellikle ulaşım ve nakliye faaliyetlerinden kaynaklanan hava kirliliğini azaltmak için önlemler almaya başladı. Bu çabanın bir parçası olarak, fosil yakıt tüketen araçların yerini alan ve hızla yaygınlaşan elektrikli araçlar, uygulanabilir bir çözüm olarak ortaya çıktı. Bu çalışma, ulaşım amacıyla kullanılan elektrikli kamyonların seçim konusundaki ikilemlerini incelemektedir. Karar vericilerin seçim sürecinde dikkate alması gereken kriterleri tanımlar ve piyasada mevcut alternatifleri bu kriterlere göre değerlendirir. Karar verme sürecinin doğasında olan belirsizlik ve öznellikle mücadele etmek için dairesel sezgisel bulanık sayılar kullanıldı. Alternatiflerin değerlendirilmesinde bu sayılara dayalı VIKOR yöntemi tercih edilen yaklaşım olmuştur. Bu araştırma, sürdürülebilir ulaşım alanındaki kritik bir ihtiyacı ele alıyor ve karar vericilere elektrikli kamyonların önceden tanımlanmış kriterlere göre değerlendirilmesi için sistematik bir çerçeve sağlıyor. Dairesel sezgisel bulanık sayılardan ve VIKOR yönteminden yararlanan bu çalışma, elektrikli kamyon seçiminin doğasında bulunan karmaşıklıkların üstesinden gelmek için sağlam bir metodoloji sunuyor ve böylece hava kirliliğini azaltma ve çevresel açıdan sürdürülebilir ulaşım uygulamalarını teşvik etme çabalarını ilerletiyor.Book Part VR Headset Selection Via Codas Based on Pythagorean Fuzzy Set(IGI Global, 2024) Büyükselçuk, E.C.; Endüstri Mühendisliği BölümüThanks to the developing technology, innovative activities emerge in the education sector, as in every sector. Contrary to traditional teaching and learning methods, novel models have started to be used in the education sector with the opportunities offered by virtual reality (VR), augmented reality (AR) or mixed reality (MR) technologies used in many different sectors. In this study, a model developed for use in the education sector in Turkey, which is named MEB-VR, has been introduced and the solution of a problem encountered in this model has been discussed. MEB-VR has been developed especially for applied and laboratory courses. The problem of determining the best headsets to be used in the model, in which the VR-based education approach is adopted, has been tried to be solved in this study. For this purpose, the most suitable VR headset was determined using the combinative distance based assessment (CODAS) method based on circular pythagorean fuzzy sets (C-PFS). © 2025, IGI Global. All rights reserved.Article Evaluation of the Barriers to Maintenance 4.0 for the Textile Industry via Pythagorean Fuzzy SWARA(MDPI, 2025) Turan, Hakan; Buyukselcuk, Elif Caloglu; Endüstri Mühendisliği BölümüMaintenance 4.0 studies have become a focus for managers and employees when developing effective and efficient maintenance policies. In this study, the barriers to Maintenance 4.0 applications in the textile industry are investigated, and these barriers are weighted using the Stepwise Weight Assessment Ratio Analysis (SWARA) method based on Pythagorean fuzzy numbers. Solutions to address these barriers are presented. As a result of this study, Organizational and Managerial emerged as the most important main criterion. Operational was identified as the second most significant main criterion, followed by Technical Competence. Data-Related and Cybersecurity ranked fourth in terms of importance. On the other hand, Human Resources and Training and Financial were found to be the least important main criteria. These two criteria received lower importance scores compared to the others, with Financial being the criterion with the lowest overall significance. Sensitivity analyses were performed for six different scenarios by changing the importance weights of the decision-makers. The ranking of the criteria only slightly changed with the weights; this means that the results obtained in Case 1 are robust and reliable. Even in Case 6, where the expert weight ratios were completely reversed, the results did not change significantly. This highlights an important point regarding the reliability of the assessment.Article Integrated Entropy-Edas Methods for the Electrified Car Selection Problem(2022) Tozan, Hakan; Büyükselçuk, Elif Çaloğlu; Endüstri Mühendisliği BölümüIncreasing air pollution affects the environment and life negatively. For a sustainable environment and life, people, voluntary organizations, and governments need to work on the solution of this problem. The biggest sources of air pollution are transportation vehicles. For this reason, many countries in Europe have stated that they will use solely electrified cars to reduce air pollution in the future. Therefore, in this study, it is aimed to determine the best electrified car. The result obtained can support consumers that to intend to buy an electrified vehicle in the decision-making process. This problem is a typical multi-criteria decision making (MCDM) problem and some MCDM techniques are used to solve these problems. Here, the Entropy method was used to determine the weights of the selection criteria. Selection criteria was determined according to comprehensive literature survey and interviews with sales representatives. The EDAS (Evaluation based on Distance from Average Solution) method was used to rank the electrified car alternatives that sold in Turkey. As a result of the evaluation, the most important criteria was determined by the price of the vehicle, the net battery capacity, and the electric motor power. According to these criteria, the electrified car manufactured in China was chosen as the best.Book Part Citation - Scopus: 1Where Are We and What Should We Do in Cleaner Production Transformation(IGI Global, 2023) Büyükselçuk, E.Ç.; Endüstri Mühendisliği BölümüUntil recently, production models developed according to market conditions focused on reducing costs and increasing profitability at the expense of the destruction of natural resources and the deterioration of ecological balance and human health. However, today, with the effects of the deterioration in the ecosystem reaching sensible dimensions and being accepted as a global threat, a new production approach is needed. Due to environmental pressures, new markets and scarce resources, development, and economic growth are being tried to be redefined. Traditional production methods and environmental technologies are no longer sufficient to provide resource efficiency and increase environmental performance. Therefore, the need for new systems, processes and technologies has arisen for the restructuring of the industry and the creation of green business models. In this chapter, it is discussed how the cleaner production approach will contribute to this transformation, considering the green transformation efforts in question and considering the current situation of the Turkish industry. © 2023, IGI Global.Article Citation - WoS: 1Citation - Scopus: 1Analyzing Critical Success Factors of Sustainable Knowledge Management: an Interval-Valued Neutrosophic Approach(Mdpi, 2024) Turan, Hakan; Bulak, Muhammet Enis; Buyukselcuk, Elif Caloglu; Endüstri Mühendisliği BölümüKnowledge management (KM) is a structured approach that includes the organized procedures of generating, capturing, arranging, storing, retrieving, distributing, and harnessing an organization's knowledge resources to attain its goals and improve its effectiveness. Encountering uncertainty and managing imprecise information are fundamental aspects of KM that cannot be avoided. In this context, sustainable KM aims to solve these issues and address prioritizing the long-term sustainability and efficiency of knowledge-related processes within an organization. The aim of this study is to structure a sustainable KM concept for organizations and identify the most common critical success factors (CSFs) with a novel analytical approach. In this context, the Interval-Valued Neutrosophic methodology, which is one of the multi-criteria decision methods (MCDMs), was adopted to evaluate and weight the determined CSFs. Four main headings-KM, environmental, economical, and social criteria-are evaluated along with their subfactors. Our findings show that KM is found to be the most important, and environmental factors followed KM. When the results are examined in terms of subfactors, cleaner production is found to be the most significant, with a global weight value of 11.13.
