Öztürkoğlu, Ömer
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234

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| Journal | Count |
|---|---|
| Journal of Yasar University | 3 |
| An International Journal of Optimization and Control: Theories & Applications (IJOCTA) | 2 |
| Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi | 2 |
| Advanced Sustainable Systems | 1 |
| Alphanumeric Journal | 1 |
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39 results
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Master Thesis Evaluating the Comparative Efficiency of Unit-Load Third Party Warehouses Using AHP Vand VIKOR(2015) Çakal, Ayça; Öztürkoğlu, ÖmerSon yıllarda, tedarikçi seçimi dikkatlice üzerinde çalışılmakta olan bir problem olmaktadır. Günümüzün rekabet ortamında, lojistik faaliyetleri içerisinde depolamanın önemi gittikçe artmaktadır. Depoculuk faaliyetlerinin daha kapsamlı bir hale gelmesiyle, üreticiler için üçüncü parti lojistik servis sağlayıcıları bir ihtiyaç haline gelmektedir. Bu çalışma da farklı tedarikçi değerlendirme yöntemleri incelenerek, aynı sektörlerde hizmet veren üç lojistik firmasını ele alınmıştır. Bu tez, çoklu kriterli karar verme modeli üçüncü parti hizmet sağlayıcılarının alternatiflerini oluşturmaktadır. Çok kriterli karar verme problemi olarak değerlendirilebilecek bu problemin çözümünde Analitik Hiyerarşi Süreci (AHS) ve VIKOR yöntemleri kullanılmıştır. Bu çalışmanın amacı en verimli üçüncü parti depo firmasını seçmektir. Sürecin değerlendirilmesi detayları ile gösterilmiştir. Veriler, Türkiye'de tanınmış lojistik şirketlerinden alınmıştır. Altı ana kriter uygulama için tespit edilmiştir. Bunlar 'pazar', 'kalite', 'operasyonel', 'yapı', 'hizmet' ve 'sosyal sorumluluk ya da yeşil projeler' dir. Görünüşe göre, depo seçimi nicel ve nitel faktörleri de içeren çoklu kriterli bir sorundur. Çalışmada, çıktılar karşılaştırıldı ve tartışıldı.Doctoral Thesis Factors Affecting International Students’ Study Destination(2022) Lawal, Oyewale Dhıkrulah; Öztürkoğlu, ÖmerFactors affecting international students in making their choice of destination are critical indicators that actors in the educational industries find so critical to explore and understand. This study underwent a comprehensive and multi-methodological approach to understanding these critical factors. As countries have started the utilization of international education as another source of soft power, the government is looking for the best strategy to position themselves in a way to attract international students. This has prompted the need in optimizing the best approach of using these factors by the actors to employ in fulfilling their organizational objectives. To examine the factors that affect international students' study destinations, this study comprises three different studies with different objectives and methodologies in order to understand these factors. The methodologies employed are qualitative analysis (interview approach), quantitative analysis (questionnaire approach), and experts' analysis (using the Fuzzy-DEMATEL approach). An emerging factor was discovered in the interview method with factors in literature used for the quantitative analysis. 64 items were used to design a questionnaire that was administered to 788 international students and presented 8 component factors regarding the factors influencing international students' destinations. The results after considering international students' and experts' opinions, presented sets of important factors that should be focused on by the policymaker for their marketing strategies. It also shows that University ranking is the most significant while the Attractiveness of the campus and facilities within it is the least significant factor in the experts' opinion. The strength of the relationship of each pair of factors was also classified as 'very strong', 'strong' and 'medium' relationships which constitute the strategy map was also highlighted. The map serves as the ideal tool for policymakers to know how to best strategize to achieve their institution objectives after understanding their own competitive potentials.Article Aşı Tedarik Zinciri Süreçleri: Karşılaşılan Sorunlar ve Dijital Çözümler(2021) OMER OZTURKOGLU; IKBAL ECE DIZBAY; Ozturkoglu, Omer; Dızbay, Ikbal EceSalgın hastalıkların yayılımını engelleme yöntemlerinin en önemlilerinden biri aşılama yöntemidir. Aşılama yöntemi kullanılarak salgın hastalıkların tamamen yok edilmesimümkün olabilmektedir.Ancak hastalık veya salgınların önüne geçebilmesi için aşıların tedarik zinciri aşamalarından herhangi birinde soğuk zincirin bozulmaması ve uygun koşullarda işlem yapılmasıgerekmektedir. Aşı tedarik zincirlerinde uygun koşullarsağlanamadığı takdirde bağışıklık oranlarıdüşmekte aşı fireleri çevresel atıklar ve bağışıklama maliyetleri artmaktadır. Bu çalışmada aşı tedarik zinciri aşamalarıanaliz edilmiştir. Literatür taraması iletedarik zinciri aşamalarının etkin yönetilmesi için verilmesi gereken kararlar ve Endüstri 4.0 kapsamında kullanılabilecek teknolojik gelişmeler incelenmiştir.Conference Object Citation - Scopus: 9Determining Significant Factors Affecting Vaccine Demand and Factor Relationships Using Fuzzy DEMATEL Method(Springer, 2021) İkbal Ece Dizbay; Ömer Öztürkoǧlu; Dizbay, İkbal Ece; Öztürkoğlu, Ömer; C. Kahraman , S. Cevik Onar , B. Oztaysi , I.U. Sari , S. Cebi , A.C. TolgaEven though deadly effects of outbreaks such as SARS H1N1 EBOLA and COVID-19 took the attention of the community generating 100% vaccination uptake from people who are expected to be affected by such outbreaks is almost impossible. Hence determining the actual vaccine demand for typical viruses and reaching this population are becoming important issues to prevent from spreading such viruses like wildfire. Many countries have been forecasting vaccine demand according to birth rates. However factors such as district-level per capita income literacy rate urbanization and some other factors should also be considered for more accurate forecasts. There is another factor affecting countries’ vaccine demand, some of the vaccines that WHO recommends are included in the national immunization programs while others are only recommended. Thus this study first aims to explore the most significant factors that affect the demand of vaccines that are not included in national immunization campaigns then to present the cause and effect relationships among the factors using the fuzzy DEMATEL method to provide insights to managers for better vaccine demand forecast and to increase vaccine uptake. According to the analysis results immunization related beliefs is the most important factor among others included in this research. © 2020 Elsevier B.V. All rights reserved.Article Citation - WoS: 5Citation - Scopus: 10A new warehouse design problem and a proposed polynomial-time optimal order picking algorithm(GAZI UNIV FAC ENGINEERING ARCHITECTURE, 2018) Omer Ozturkoglu; Deniz Hoser; Hoşer, Deniz; Öztürkoğlu, ÖmerIn this study we propose a new design problem that relates to orientation of cross aisles in warehouses. In this problem the main orthogonal cross aisle which is very common to be seen in warehouses to facilitate travel between locations is planned to be designed as discrete manner such as tunnels along picking aisles. Hence the problem of locating these tunnels along picking aisles so as to increase efficiency of order picking operations which is one of the most costly and the most related operations with the order delivery time in warehouses is propounded. Additionally we develop a new dynamic programming based polynomial time algorithm to calculate optimal length of order picking tour in this new design problem. Hence this algorithm provides very quick solutions even for large pick list sizes. The computational performance of this algorithm is compared with Held-Karp branch and bound algorithm which is a well-known algorithm for travelling salesman problem. Last we solve an example problem and explain how the algorithm is implemented to generate optimal tour.Article A Proposed New Approach for The Single Machine Scheduling Problem: Dynamic Programming(2024) Yucel Ozturkoglu; OMER OZTURKOGLU; Yeşim Deniz Özkan Özen; Özen, Yeşim Deniz Özkan; Ozturkoglu, Yucel; Ozturkoglu, OmerA traditional scheduling problem is one of the optimization problems that assign tasks to humans and machines in an optimal order. In real applications many jobs do not have a fixed processing time. During production some machines need to be cooled due to overheating. This activity which takes place outside periodic maintenance is called rate-modifying. During this time the job times increase with each passing second as Jobs wait to be assigned. The rate of deterioration due to this increase is called deteriorating jobs. This paper considers scheduling a set of deteriorating jobs with rate-modifying activity with a single processor. During the speed change activity the production process is halted resulting in increased completion times of jobs. The problem arose from the problem of a machine and an automatic production line. This problem is classified as an NP-Hard problem. The problem addressed by the study has been tried to obtain optimal results with different methods by considering different factors by many authors. When a detailed literature review is made it has been seen that no author has developed a dynamic programming model until today. The most significant advantage of dynamic programming models is that they provide solutions with the closest optimal result faster especially in solving problems classified as Np-Hard. Therefore a dynamic programming algorithm was developed for the first time for large job numbers of the focused problem. Therefore this study presents a dynamic programming algorithm to calculate the optimal solution. The algorithm's efficiency is proven on an extensive randomly generated sample data set. The results prove that the proposed algorithm provides the optimal solution with much less effort than the mathematical model.Article Citation - WoS: 9Citation - Scopus: 10Aisle designs in unit-load warehouses with different flow policies of multiple pickup and deposit points(Springer Science and Business Media Deutschland GmbH, 2021) Yeliz Kocaman; Ömer Öztürkoǧlu; Şevkinaz Gümüşoğlu; Kocaman, Yeliz; Öztürkoğlu, Ömer; Gümüşoğlu, ŞevkinazThis study focuses on investigating the best layouts of a unit-load warehouse for single-command operation. We propose a model for unit-load warehouses having a single cross aisle and multiple pickup & deposit (P&D) points located at the front side of the warehouse. The model is constructed in continuous space for single-command travel and allows the cross aisle and picking aisles to take any angle between 0 and π. We then search for the best aisle arrangements that minimize the expected single-command distance from a given varying number of P&D points under randomized storage policy. Additionally we introduce three material flow policies to investigate the effect of usage density of P&D points on the design. We also investigate the effects of shape ratio on angles of aisles in the best designs. Last we also solved a problem instance with unsymmetrically allocated P&D points to show how to use our proposed models. Therefore we present that warehouses with width to depth ratio 3:1 are good for high number of P&D points. We also show that the best designs provide more savings in travel over the equivalent traditional design if flows are more concentrated around the central P&D point. The best-found designs also present that the single-command distance can be reduced to 8–20% based on the characteristics of the unit-load warehouse. © 2021 Elsevier B.V. All rights reserved.Conference Object Citation - WoS: 5Citation - Scopus: 10Investigating the robustness of aisles in a non-traditional unit-load warehouse design: Leverage(Institute of Electrical and Electronics Engineers Inc., 2015) Ömer Öztürkoǧlu; Ozturkoglu, OmerRecently [9] proposed a non-traditional aisle design for unit-load warehouse for one centrally located pickup and deposit (PandD) point both on the lower and upper sides of warehouse. We call this design Leverage. However the number of PandD points is limited to one in design Leverage. Hence in this research we investigate the changes in improvement of Leverage as the number of PandD points increases by searching optimal designs by using [9]'s approach. We then compare Leverage with the improved designs to investigate its robustness in terms of changes in aisle structure and cost. © 2016 Elsevier B.V. All rights reserved.Article Citation - WoS: 18Citation - Scopus: 22A bi-objective mathematical model for product allocation in block stacking warehouses(WILEY, 2020) Omer Ozturkoglu; Ozturkoglu, OmerPut-away and picking operations in warehouses play a critical role in determining operating costs and customer response time. While the place where products are put away has an important effect on picking efficiency due to accessibility it also affects space usage which is critical for space availability and space costs. Hence this study focuses on put-away operations in pallet-in pallet-out block stacking warehouses. We develop a unique bi-objective mathematical model and a constructive heuristic algorithm to allocate products to storage lanes while considering two objectives simultaneously: minimizing total travel distance and maximizing average storage usage. We test our model and heuristic through a real company case study and randomly generated large-sized problem instances. We show that the model and heuristic offer better storage usage with reduced travel distance than the company's approach when the two objectives have equal weight. We also present a set of nondominated solutions for each problem instance. We present that the heuristic seems beneficial for the warehouse industry due to its short run time and effective solutions.Doctoral Thesis Tedarik zincirinde işbirlikçi araç rotalama problemi için bir model önerisi(2016) Dizbay, İkbal Ece; Gümüşoğlu, Şevkinaz; Öztürkoğlu, ÖmerTaşımacılık sektörü bir ülkenin ekonomisine katkı sağlayan ana unsurlardan bir tanesidir. Ancak sektörün insanların günlük hayatları için çevre kirliliği ve trafik sıkışıklığı gibi pek çok olumsuz sonuçları bulunmaktadır. Taşımacılık ayrıca Tedarik Zincirinin ana bileşenlerinden bir tanesidir. Ürün ve hizmet fiyatları taşımacılık maliyetlerinden direkt olarak etkilenmektedir. Bu çalışmada aynı bölgede faaliyet gösteren ve ortak şehirlere/müşterilere hizmet sunan parsiyel taşımacılık yapan nakliye firmaları arasındaki işbirliği ele alınmıştır. Şehirler bazında adil bir fiyatlandırma yapabilmek adına nakliyecilerin her şehre taşıma yapmak için avantaj durumunu gösteren 'Avantaj Skoru' önerilmiştir. Bu skor AHS ve VIKOR yöntemleri kullanılarak hesaplanmıştır. Çalışmada iki farklı işbirliği stratejisi önerilmektedir; Kısmi İşbirliği ve Tam İşbirliği. Bu stratejiler Heterojen Filolu İşbirlikçi Araç Rotalama Problemi olarak modellenmiştir ve CPLEX 12.6 programı kullanılarak çözülmüştür. Sonuçlar İşbirliksiz Dağıtım Modeli sonuçları ile kıyaslanmıştır. Problem Karınca Kolonisi Algoritması kullanılarak sezgisel olarak ta çözülmüş ve sezgisel yöntem sonuçları matematiksel model sonuçları ile kıyaslanmıştır. Kısmi İşbirliği Modelinde nakliyecilerin rasyonel davrandıkları ve birbirlerinin kapasitelerini ancak işbirlikçi olmayan duruma göre daha fazla kar elde etmeyi garanti altına aldıkları durumda kullanacakları varsayılmıştır. Kısmi işbirliği için nakliyecilerin şehir bazlı navlun fiyatları ve maliyetleri kullanılarak işbirlikçi fiyatlar hesaplanmıştır. Ayrıca bu strateji için kapasite takas opsiyonu sunulmuştur. Tam İşbirliği Modelinde ise nakliyecilerin hiç bir engel olmadan birbirlerinin araçlarını kullanabildikleri ve 'Avantaj Skoru'na bağlı bir maliyet paylaşım mekanizması önerilmiştir.

