Profile URL: https://hdl.handle.net/20.500.13091/13564
Job Title:Arş. Gör. Uzm.
Email Address:kcolbay@ktun.edu.tr
Main Affiliation:02.09. Department of Industrial Engineering
Status: Current Staff
ORCID:
0009-0001-7834-9179
0009-0001-7834-9179YÖK Akademik: 1F5F8B8210391CDE
Google Scholar:
1UfeQuEAAAAJ
1UfeQuEAAAAJWeb of Science ID:
OYF-9562-2025
OYF-9562-2025Name Variants:
Colbay, Kamil Çölbay, K.
Scholarly Output Search Results
Now showing 1 - 3 of 3
Article Esnek Akış Tipi Çizelgeleme Problemlerinin Araştırılması: Bibliyometrik Analiz(2025) Engin, Orhan; Çölbay, Kamil; Merdane, CelalAkış tipi çizelgelemenin, en az bir aşamasında, birden fazla makinen yer aldığı problem, Esnek akış tipi olarak isimlendirilmektedir. Bu araştırmada 1995 yılından günümüze kadar Esnek akış tipi çizelgeleme problemleri ile ilgili literatürde yapılan çalışmalar incelenmiştir. Esnek akış tipi çizelgeleme problemlerinin son 30 yıldaki gelişimi bibliyometrik analiz yardımıyla belirlenmeye çalışılmıştır. Bibliyometrik analiz, bilimsel literatürdeki yayınları, atıfları ve diğer ölçümleri inceleyerek bir alanın gelişimini değerlendirir. Bibliyometrik analizde, “Scopus” veri tabanından “Hybrid Flow Shop Scheduling Problems” anahtar kelimesiyle sorgu yapılmış ve analizler R-Studio programında Bibliometrix paketi kullanılarak gerçekleştirilmiştir. Toplam 766 belge incelenmiş, bu belgelere toplam 20 620 atıf yapıldığı tespit edilmiştir. Yıllık büyüme oranın %3,73 olduğu hesaplanmıştır. Araştırma sonucunda, Çin, ABD ve Avrupa’daki bilim insanları tarafından bu alanda önemli çalışmalar yapıldığı görülmüştür. Bu çalışmanın sonuçları, Esnek akış tipi çizelgeleme problemleri üzerine yapılan araştırmaların geniş bir coğrafi dağılıma sahip olduğunu ve disiplinler arası bir yaklaşımı teşvik ettiğini ortaya koymuştur.Conference Object Simulation-Based Analysis of Bus Scheduling Problem for Mixed Fleets: Effects of Flexibility Strategies on Delay Performance(Institute of Electrical and Electronics Engineers Inc., 2025-09-06) Çölbay, K.; Engin, O.Improving the reliability of public transportation services plays a critical role in solving urban mobility problems. This article addresses the scheduling problem of a mixed fleet consisting of buses with different capacities (solo and articulated). The main objective of the study is to minimize operational delays and total waiting time by dynamically assigning bus types according to passenger demand. To solve this NP-hard problem, a simulation model was developed in the Python programming language based on real-time trip data from the urban transportation network in Türkiye. The model compared three different assignment algorithms: rigid assignment, flexible substitution, and special waiting flexible substitution. Performance was measured using metrics such as the number of delayed trips, total delay time, and passenger-weighted delay time. The results revealed that flexible assignment strategies significantly impact operational performance and that there is a trade-off between the frequency and duration of delays. The special waiting flexible assignment algorithm caused the fewest delays, but the total duration of these delays was the longest. This study demonstrates the effectiveness of simulation as a decisionsupport tool in solving complex scheduling problems and provides a quantitative perspective for public transportation operators to determine strategies based on service quality priorities. © 2025 IEEE.Conference Object Fuzzy-Based Analysis of Hybrid Flow Shop with Multiprocessor Scheduling: A Bibliometric Perspective(Springer International Publishing AG, 2025) Colbay, Kamil; Engin, OrhanScheduling plays a key role in optimizing resource utilization and improving efficiency in modern production and service systems. Among the widely studied scheduling problems, hybrid flow shop with multiprocessor scheduling is a significant extension of the traditional flow shop model, incorporating multiple machines at one or more stages. This added flexibility makes them valuable in industrial and service areas, including manufacturing, logistics, and health. However, the complexity from multiple stages and parallel machines poses challenges in developing efficient solution approaches. This study reviews recent advances in hybrid flow shop with multiprocessor scheduling, classifies existing solution methodologies, and highlights their practical implications across industries. A systematic literature review, complemented by bibliometric analysis using RStudio Bibliometrix, was conducted. The Scopus database was used for data collection. The study identifies the most common mo dels and objective functions, annual growth trends, influential journals and researchers, leading universities and countries in publication volume, and highly cited papers. A notable contribution is the classification of methodologies and research trajectories. The identification of key authors and institutions offers valuable insights for researchers seeking collaborations or recognizing main contributors in the field. Finally, it highlights research gaps and suggests directions for future studies.
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| Journal | Count |
|---|---|
| 2025 International Conference on Intelligent and Fuzzy Systems-INFUS-Annual -- Jul 29-31, 2025 -- Istanbul, Turkiye | 1 |
| -- 9th International Artificial Intelligence and Data Processing Symposium, IDAP 2025 -- 2025-09-06 through 2025-09-07 -- Malatya -- 215321 | 1 |
| Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi (Online) | 1 |
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