Profile URL: https://hdl.handle.net/20.500.13091/11618
Job Title:Dr. Arş. Gör.
Email Address:ydegirmencioglu@ktun.edu.tr
Main Affiliation:02.09. Department of Industrial Engineering
Status: Current Staff
ORCID:
0000-0001-9964-0865
0000-0001-9964-0865YÖK Akademik: 841C3AF87591B352
Google Scholar:
xWJnyCEAAAAJ
xWJnyCEAAAAJWeb of Science ID:
LTA-0027-2024
LTA-0027-2024Name Variants:
Degirmencioglu Demiralay, Yuksel Değirmencioğlu Demiralay, Yüksel
4 results
Scholarly Output Search Results
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Book Part Citation - Scopus: 1Forecasting(CRC Press, 2023-01-04) Değirmencioğlu, Y.; Akyurt, İ.Z.Forecasting processes take into account past consumer behavior as well as current trends. This method requires not only predicting future demand but also explaining previous demand behavior and the factors influencing that behavior. As the amount of data in businesses grows, it becomes increasingly challenging to create accurate and timely predictions. For businesses that wish to maintain their competitiveness, making accurate and quick predictions is unavoidable. New technologies such as powerful artificial intelligence algorithms, cloud computing, machine learning, data mining, and simulation facilitate the classification, sorting, processing, and interpretation of data. Thus, managers can make dynamic, fast, and satisfactory forecasts. © 2023 selection and editorial matter, Turan Paksoy and Muhammet Deveci; individual chapters, the contributors.Master Thesis Çift Taraflı Demontaj Hatlarının Dengelenmesi(Konya Teknik Üniversitesi, 2019) Değirmencioğlu, Yüksel; Kara, YakupKamyon, minibüs, otobüs gibi büyük hacimli ürünlerin montaj işlemleri zor olduğu gibi demontaj işlemleri de zordur. Özellikle büyük hacimli ürünlerin geri kazanım çalışmalarında tek taraflı demontaj hatları yetersiz kaldığından dolayı çift taraflı demontaj hatlarından faydalanılmaktadır. Bu tür hatlarda büyük hacimdeki ürünlerin demonte işlemleri için çeşitli ekipmanlara ve asistanlara ihtiyaç duyulabilmektedir. Bu tez çalışması kapsamında toplam net geri kazanım kârını en büyüklemek amacıyla görevlerin, ekipmanların ve asistanların istasyonlara atanmasını dikkate alan Çift Taraflı Demontaj Hattı Dengeleme (ÇTDHD) problemi ele alınmıştır. Tez çalışması kapsamında öncelikle literatürde bulunan demontaj hattı dengeleme çalışmaları detaylı bir şekilde incelenerek açıklanmıştır. Ardından demontaj ve çift taraflı demontaj hatlarına ait materyaller açıklanarak ÇTDHD probleminin varsayımları ve kısıtlar tanımlanarak 0-1 tamsayılı doğrusal programlama modeli önerilmiştir. Önerilen çözüm yaklaşımın toplam net geri kazanım kârı üzerindeki etkisini belirleyebilmek amacıyla çift taraflı demontaj hatları ve tek taraflı demontaj hatları incelenmiştir. Önerilen çözüm yaklaşımının performansını analiz etmek amacıyla çift taraflı demontaj hatları için 162, tek taraflı demontaj hatları için 162 tane olmak üzere toplam 324 test problemi oluşturulmuştur. Önerilen 0-1 tamsayılı matematiksel model ile tek taraflı hatlarda 162 problemin 132'sinde (%81,48), çift taraflı hatlarda 162 problemin 92'sinde (%56,79) optimal sonuçlara ulaşılmıştır. Hatların tek taraflı demontaj hattı ve çift taraflı demontaj hattı olarak dengelenmesi durumu karşılaştırılmış ve tek taraflı demontaj hattı olarak dengelenmesinden ziyade çift taraflı demontaj hattı olarak dengelenmesinin net geri kazanım kârı üzerinde %29,18 iyileşme sağladığı görülmüştür.Book Part Design of Goods and Services(CRC Press, 2023-01-04) Değirmencioğlu, Y.; Kara, Y.By using an effective product strategy, businesses can select, design, and put into production a new product. The right production strategy provides maximum benefit to enterprises. Business managers should be able to select, design, develop, and produce products that can provide a competitive advantage for the business. As products move through their lifecycles (introduction, development, maturity, decline), strategies business managers must follow also change. Business managers need to determine which strategy will be in the best interest of the business in which period. While determining these strategies, customer requests and expectations should also be taken into consideration. Quality function deployment is a method used to determine the value of all the technical characteristics that a product or service must have in order to fully meet the customer’s needs. The house of quality, one of the tools of quality function deployment, is used to describe the relationship between customer requests and product features. Thanks to the house of quality, the wishes and expectations of the customers can be determined, customer expectations can be turned into technical definitions that can be used in the engineering phase, and businesses can determine whether their products and their competitors’ products meet customer expectations. © 2023 selection and editorial matter, Turan Paksoy and Muhammet Deveci; individual chapters, the contributors.Article Citation - WoS: 2Citation - Scopus: 3Profit-Oriented Balancing of Two-Sided Disassembly Lines With Resource-Dependent Task Times(Emerald Group Publishing Ltd, 2024) Değirmencioğlu Demiralay, Yüksel; Kara, Yakup; Demiralay, Yuksel DegirmenciogluPurpose - As a result of environmentally conscious production requirements in the world, the concept of disassembly has been a focus of interest by researchers and practitioners over the last two decades. Disassembly is an important process in circular economy to recover and reuse of parts and materials. End-of-life and large-sized products such as minibuses and trucks may be disassembled on two-sided lines. The ability of using both right and left sides of two-sided lines may increase line efficiency and reduce space requirements across the line. This paper aims to address a twosided disassembly line balancing problem (TSDLBP), which deals with assigning disassembly tasks, various equipments and assistants to the workstations to maximize total net recovery profit of the line. Design/methodology/approach - A detailed explanation of the TSDLBP is fi rst presented in the paper. A new 0-1 integer linear programming model is then proposed for the TSDLBP, aiming at maximizing total net recovery profit from disassembly of products. A set of test problems is generated, and an experimental analysis is conducted to make a comparison between traditional one-sided disassembly lines (TOSDL) and two-sided disassembly lines by means of performance improvement rate. Findings - Optimal results are obtained in 132 (81.48%) out of 162 the TOSDL balancing problems, while 92 (56.79%) out of 162 the TSDLBP using the proposed model. Total net recovery profits are compared on 88 problems for which optimal solutions are obtained in both the TOSDL and the TSDLBP. Results showed that implementing two-sided disassembly lines provides 29.18% increment in total net recovery profit compared to the TOSDL. Furthermore, the effects of different parameter levels on the net recovery profit are analyzed using two-way analysis of variance. According to the results, implementing two-sided disassembly line configuration increases total net recovery profit of the line significantly compared to traditional disassembly line configuration. Originality/value - The use of disassembly lines has become essential because of increasing consumption that results in a huge number of end-of- life products in the world. Two-sided disassembly lines may be preferred for dismantling large-sized products due to their high disassembly capacity and fewer space requirements. This paper proposes a new mathematical model for disassembly line balancing problem. The proposed model differs from the existing models by means of efficiently assigning limited disassembly resources as well as assigning disassembly tasks to the workstations to maximize total net recovery profit of the production system. The model allows decision-makers to consider several resource limitations when balancing their disassembly lines. The paper also provides a comprehensive experimental study to compare traditional and two-sided disassembly lines by means of profitability of disassembly processes.
Research Topics
Domains
Physical Sciences
Fields
Engineering
Subfields
Industrial and Manufacturing Engineering
Specific Research Areas
Manufacturing Process and Optimization
Advanced Manufacturing and Logistics Optimization
Assembly Line Balancing Optimization
Flexible and Reconfigurable Manufacturing Systems
Digital Transformation in Industry
Sustainable Development Goals
SDG data is not available

This researcher does not have a Scopus ID.

Documents
3
Citations
6
Publication Collaboration
| Affiliation Name | Count |
|---|---|
| Konya Technical University | 4 |
| Norwegian University of Science and Technology | 1 |
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Data obtained from OpenAlex
| Journal | Count |
|---|---|
| Smart and Sustainable Operations and Supply Chain Management in Industry 4.0 | 2 |
| Robotic Intelligence and Automation | 1 |
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Scholarly Output
4
Articles
1
Views / Downloads
3/15
Supervised MSc Theses
1
Supervised PhD Theses
0
WoS Citation Count
2
Scopus Citation Count
4
Patents
0
Projects
0
WoS Citations per Publication
0.50
Scopus Citations per Publication
1.00
Open Access Source
1
Supervised Theses
1
Scopus Quartile Distribution
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