Browsing by Author "Öner, Erdinç"

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Citation - Scopus: 2
A Flexible Facility Layout Design for a Project-Based Production System
(Springer Science and Business Media Deutschland GmbH, 2023) Elif Ceyhan; Yaren Özkan; Elif Şener; Gül Zozan Çetin; Hilal Toptanış; Özge Sevim Aykut; Selen Burçak Akkaya; Erdinc Oner; Çetin, Gül Zozan; Aykut, Özge Sevim; Özkan, Yaren; Öner, Erdinç; Ceyhan, Elif; Toptanış, Hilal; Şener, Elif; N.M. Durakbasa , M.G. Gençyılmaz
In this study the facility layout of a packaging machine production factory is planned according to the costs of the material handling equipment and distances between the departments. The branch and bound algorithm are implemented to optimally find the cells to be assigned for the projects. Costs are calculated in Excel and an optimal layout is developed in the facility according to the distances and the material handling costs information provided by the company. Moreover a decision support system is developed to display a flexible facility layout design for a project-based production system which provides insight for the managers to decide the locations of packaging machine production cells. The locations of the projects to the manufacturing cells are determined by using the algorithms and models using the Python and OPL CPLEX 12.10 Optimization Studio software. © 2023 Elsevier B.V. All rights reserved.
Akıllı konteyner hasar tahmini aracı
(2023) Peker, Atacan; Öner, Erdinç
Konteynerlerin deniz yoluyla terminaller arasında taşınması, tedarik zinciri süreçleri açısından önem taşır. Konteyner taşımacılığı olarak da adlandırılan bu yöntem, denizaşırı taşımacılık için en verimli ve maliyet etkin çözümlerden biri olarak kabul edilir. Konteynerler taşınırken, bir dizi operasyon aşamasından geçerek farklı yöntemlerle ele alınır. Bu aşamalarda bazı istisnai durumlar ortaya çıkabilir. Örneğin, konteynerin gemiden indirilirken vinç yardımıyla düşürülmesi veya boşaltma sırasında zarar görmesi gibi durumlar söz konusu olabilir. Bu gibi örnekler, konteynerlerin zarar görmesine veya kullanılamaz hale gelmesine yol açabilir. Bu çalışmanın amacı, konteynerlerin hasar durumunu tahmin etmek için makine öğrenimi yaklaşımlarını kullanmaktır. Tahmin modeli için Microsoft Azure Machine Learning Studio platformu kullanılmıştır. Elde edilen sonuçlar, iki sınıflı sınıflandırma temelli makine öğrenimi algoritmalarının, konteynerlerin hasar durumlarını doğru bir şekilde tahmin etmede avantaj sağladığını göstermektedir. Yapılan hasar tahmini çalışmasının sonuçları, nakliye şirketleri için bir rehber işlevi görecek ve taşıma taleplerinin yerine getirilip getirilmemesine karar verme ve olası hasar risklerini önceden tahmin etme konusunda yardımcı olacaktır. Anahtar Kelimeler: makine öğrenimi, büyük veri, veri işleme, iki sınıflı sınıflandırma, konteyner hasar tahmini, Azure Machine Learning Studio
Citation - WoS: 9
Citation - Scopus: 12
Artificial Intelligence Approaches to Estimate the Transport Energy Demand in Turkey
(Springer Science and Business Media Deutschland GmbH, 2021) Mert Sinan Turgut; Uǧur Eliiyi; Oğuz Emrah Turgut; Erdinc Oner; D. T. Eliiyi; Turgut, Oguz Emrah; Eliiyi, Uğur; Turgut, Mert Sinan; Öner, Erdinç; Eliiyi, Deniz Türsel
In this study eight parameters are selected and their historical data are collected to predict the future of the energy demand of Turkey. The initial eight parameters were the gross domestic product (GDP) of Turkey average annual US crude oil price (COP) inflation for Turkey in percentages (INF) the population of Turkey total vehicle travel in kilometers for Turkey total amount of goods transported on motorways employment for Turkey and trade of Turkey. However after these eight parameters data are analyzed using Pearson and Spearman correlation methods it is found out that five of these parameters are highly correlated. The remaining three parameters are the GDP of Turkey COP and INF for Turkey. Afterward five separate scenarios are developed to forecast the future of the energy demand of Turkey. The first two scenarios involve the third- and fourth-order polynomial fitting the third and fourth scenarios employ static and recurrent neural networks and the fifth scenario utilizes autoregressive models to predict the future energy demand of Turkey. The efficient hybridization of the seagull optimization and very optimistic method of minimization metaheuristic algorithms is carried out to achieve the polynomial fitting of the data. The optimization performance of the hybrid algorithm is assessed by applying the algorithm on benchmark optimization problems and comparing the results with that of some other metaheuristic optimizers. Moreover it is seen that the forecasts of the first scenario agree well with the Ministry of the Energy and Natural Resources estimates. © 2021 Elsevier B.V. All rights reserved.
Bağlantılı sinyalize dönel kavşaklar için sinyal sürelerinin optimizasyonu
(2022) Qadri, Syed Shah Sultan Mohiuddin; Gökçe, Mahmut Ali; Öner, Erdinç
Managing high traffic volumes and mitigating traffic congestion including slow-moving traffic at intersections from the urban traffic networks is the key challenge for urban administration. The increase in the number of vehicles on a daily basis in the urban network is causing a continuous deterioration in the traffic situation. This deterioration leads to many detrimental consequences on health, the economy, and the environment. Due to this, it is important to manage the flow of vehicles within these networks efficiently. As an effective intersection design, the roundabout is rapidly gaining attention and popularity among traffic engineers because of its capacity for the mobility of the number of vehicles. This capacity can further be improved through their signalization. The appropriate traffic signal timing concerning the traffic conditions is critical in providing smooth traffic flow. Inappropriate traffic signal timings not only cause delays and inconvenience to drivers but also increase environmental pollution due to excessive fuel consumption and the emission of greenhouse gases. Thus, it is important to investigate the different signal timings to ensure that implemented plan will improve the capacity and the performance of the network. The investigation can be conducted via either field testing or the use of a reliable simulation tool. As the microscopic simulation is safer, less expensive, and faster than field implementation and testing, which is why the simulation models are widely used in both transportation operations and management analysis. Many researchers have made an effort to improve the efficiency of traffic signals using different approaches. However, few studies have been done concerning traffic signal timings at roundabouts. Roundabouts have a different flow dynamic compared to regular intersections. With the increasing use of signalized roundabouts, especially in metropolitan areas, the traffic signal timings of roundabouts need to be studied. This dissertation introduces a simulation-based optimization framework for finding the optimal green phase timings of signal heads located at an isolated and a network of connected signalized roundabouts. In the developed framework, SUMO is used as a simulation tool whereas the genetic algorithm is used as an optimization algorithm. Two realistic simulation models for the roundabouts (isolated and the network) located in downtown Izmir, Turkey are also developed in order to test the frameworks' performances. The results of the proposed frameworks have been compared with the current settings and with Webster's results. It was found the proposed framework outperforms both the current settings and Webster in all performance measures that are outlined in this study.
Citation - Scopus: 1
Customer Order Scheduling in Hybrid Flow Shop Manufacturing System
(Springer Science and Business Media Deutschland GmbH, 2021) Eylül Kacar; Esra Karakoç; İrem Kartop; Almira Öztürk; Görkem Bozkurt; Nazlı Karatas Aygün; Erdinc Oner; Kartop, İrem; Kacar, Eylül; Bozkurt, Görkem; Aygün, Nazli; Öner, Erdinç; Karakoç, Esra; Öztürk, Almira; N.M. Durakbasa , M.G. Gençyılmaz
The problem of customer order scheduling in a paint company that has five production stages is handled in this study. The production stages are pre-mixing grinding sub-addition quality control and filling. At each of these stages several identical and unrelated parallel machines are available. Customer orders are assigned to exactly one machine at each stage and do not have to be processed in all stages. As a result of the comprehensive literature review our problem is categorized as hybrid flow shop scheduling for the production system of the company. The mathematical model is developed by utilizing the existing studies in the literature. This developed mathematical model is solved and optimal results are obtained for small-size problem instances. According to the analysis of the results generated by the mathematical model and the literature the problem is found to be NP-hard. Since the problem is NP-hard a heuristic algorithm is proposed for the solution of larger job sizes. Considering its convenience and applications in the scheduling literature GA is selected as a heuristic algorithm to solve our proposed model. Utilizing a genetic algorithm jobs are sorted and assigned to the proper machines to minimize the sum of earliness and tardiness. As a novel approach a user-friendly DSS is designed in addition to efficient scheduling. The designed DSS targets to respond to changes made by the user instantly. © 2020 Elsevier B.V. All rights reserved.
Citation - WoS: 1
Citation - Scopus: 1
Improving the Performance of a Network of Signalized Roundabouts via Microscopic Traffic Simulation Tool
(Springer Science and Business Media Deutschland GmbH, 2022) Syed Shah Sultan Mohiuddin Qadri; Mahmut Ali Gökçe; Erdinc Oner; Gökçe, Mahmut Ali; Qadri, Syed Shah Sultan Mohiuddin; Öner, Erdinç; C. Kahraman , S. Cevik Onar , B. Oztaysi , I.U. Sari , A.C. Tolga , S. Cebi
Roundabouts are effective intersection designs which are rapidly gaining attention and popularity among traffic engineers. This is due to the roundabout’s capacity to handle the mobility of a substantial number of vehicles. The ever increasing demand for more traffic capacity can be satisfied by either significant capital investment in infrastructure or creating more capacity by intelligent signalization. The appropriate traffic signal timing is critical in smoothing traffic flow. Inappropriate traffic signal timing not only causes delays and inconvenience to drivers but also increases environmental pollution. Thus it is important to investigate different signal timings to ensure that implemented plan will have a positive impact on the network’s performance. The optimization of roundabouts’ signal timing is relatively a new area of research. The problem is difficult to model realistically and computationally challenging. Due to the flow nature of the traffic problem wider areas of traffic must be regulated simultaneously in a network. This can be achieved via either field-testing or using a reliable simulation tool. Microscopic simulation allows a safer and cheaper evaluation of many more alternative signal timings compared to field-testing. Although development calibration and validation of simulation models for traffic networks are challenging. We present a model to evaluate the performance of a network of signalized roundabouts with which the combination of different traffic volume and cycle length scenarios can be intelligently studied. We also provide information on the development calibration and validation of the model as well as a real-life implementation on a network of roundabouts in Izmir/Turkey. © 2022 Elsevier B.V. All rights reserved.
Improving the Throughput of Pipe and Tube Production: A Case Study
(Springer Science and Business Media Deutschland GmbH, 2021) Aytaç Ali Aslaner; Aysu Gürokur; Enes Turan; Karya Varol; Melisa Menemenlioğlu; Ömer Faruk Çorum; Yağmur Aydoğan; Nazlı Karatas Aygün; Erdinc Oner; Aslaner, Aysu; Turan, Enes; Öner, Erdinç; Gürokur, Aysu; Menemenlioğlu, Melisa; Çorum, Ömer Faruk; Varol, Karya; N.M. Durakbasa , M.G. Gençyılmaz
The facility layout is an important issue affecting the productivity of manufacturing systems. For an organization to have an effective and efficient manufacturing unit special attention must be given to facility layout. Well-designed facilities result in efficient materials handling reduced resource transportation times and decreased production cycle times. Besides effective layouts are known to greatly impact operational performance. Improving the facility layout considering the flow amounts between machines improves the performance of the system. Designing an optimal layout provides the efficiency of material handling and reduces the distance traveled. In this study the locations and quantities of the work in process (WIP) inventory areas and the locations of the machines are determined. Mixed Integer Programming (MIP) is used for formulating and representing the problem. The objective function of the mathematical model is to minimize distances between the machines with high material flows. The mathematical model is solved using an optimization program. The iterative heuristic algorithm using the same optimization approach is designed as an alternative solution method to develop the mathematical model. In addition to the layout optimization the amount and the size of WIP inventory areas are calculated using the daily production plan. The results of the study are put together in an applicable user-friendly and adaptable Decision Support System (DSS). The new plant layout has been compared with the current plant layout using the DSS. The company will produce more effectively with less material handling using the DSS. © 2020 Elsevier B.V. All rights reserved.
Optimizing Ready-Mixed Concrete Transportation by a Truck Mixer Routing Model for Concrete Plants
(2024) Dönmez, Ozan Aykut; Öner, Erdinç
İnşaat sektörünün temel yapı malzemelerinden olan hazır beton, santrallerde üretildikten sonra müşterilere transmikserler aracılığıyla taşınmaktadır. Transmikserlerin belirlenen zaman aralıklarında şantiyelere ulaşması inşaat projelerinin başarısı için hayati önem taşır. Bu çalışma hazır beton santrallerinin beton sevkiyatı verimliliğini arttırmaya yönelik bir transmikser rotalama modeli oluşturmayı ve uygun çözüm yöntemlerini sunmayı amaçlamaktadır. Bu çalışmada araç rotalama probleminin bir çeşidi olan kapasite kısıtlı ve zaman pencereli araç rotalama problemi kullanılarak, hazır beton taşıma operasyonlarına özgü kısıtlar da eklenerek, bir karma tam sayılı doğrusal programlama modeli oluşturulmuştur. Bu modelin amacı transmikserlerin katettiği toplam mesafeyi ve kullanılan toplam transmikser sayısını azaltarak, taşıma operasyonlarının maliyetini azaltmaktır. Model ilk olarak Gurobi Optimizer kullanılarak kesin çözüm yöntemleriyle ele alınmıştır. Fakat araç rotalama probleminin NP-zor sınıfında bulunması, müşteri sayısı arttıkça modelin karmaşıklığını arttırarak çözüm süresini uzatmıştır. Bu nedenle model, tabu arama ve en yakın komşu algoritmalarına dayalı sezgisel bir yöntemle çözülmüştür. Elde edilen sonuçlar, Gurobi Optimizer'in makul bir hesaplama süresiyle 15 müşteriye ve 15 araca kadar optimal çözümler sağladığını, sezgisel yöntemin ise ortalama 3.39%'lık bir maliyet artışıyla hızlıca optimale yakın çözümler verdiğini göstermektedir. Bu çalışma, hazır beton firmalarına beton sevkiyatlarını geliştirmeleri için fikir verecektir.
Sürdürülebilirlik ve döngüsel ekonomi çerçevesinde elektrikli araç pili toplama tesisinin konumlandırılması
(2024) Gezer, Remziye İlayda; Öner, Erdinç
Son yıllarda artan araç sayısı ile fosil yakıt kullanımı ve hava kirliliği gibi problemler ortaya çıkmıştır. Bu olumsuz etkileri yok etmek için alternatif yollar aranmaya başlanmıştır. Bu doğrultuda elektrikli araç kullanımı, yenilenebilir ve sürdürülebilir enerji kullanımı hakkında önemli çalışmalar yapılmaya başlanmıştır. Elektrikli araçlar konusundaki çalışmalar beraberinde şarj istasyonu ve batarya konusundaki gelişmeleri de getirmiştir. Günümüzde elektrikli araçlara daha hızlı şarj imkânı sağlayacak istasyonlar ve tekrar kullanıma izin veren bataryalar konusunda önemli çalışmalar yürütülmektedir. Bu çalışma kapsamında elektrikli araç şarj istasyonlarının sürdürülebilirlik ve döngüsel ekonomi çerçevesinde konumlandırılmasını ve bu şarj istasyonlarının aynı zamanda ömrünü tamamlamış elektrikli otomobil bataryalarının toplanması ve geri dönüşüme gönderilmesi için bir konum olmasını hedefledik. Çalışmamız için yapılan makale taraması sonucunda en uygun yöntemin bulanık analitik hiyerarşi prosesi (BAHP) olduğuna karar verdik. Ölçekleri belirledik, BAHP ile ölçek karşılaştırması yaptık ve elde ettiğimiz sonuçlardan yola çıkarak İzmir ili için örnek olay çalışması gerçekleştirdik.
Tek değişkenli ve çok değişkenli istatistiksel süreç kontrol grafikleri: Kimya endüstrisinde bir uygulama
(2019) Çakır, Merve; Öner, Erdinç
İstatistiksel Süreç Kontrolü, sürecin kalitesini arttırarak ve hedef kalite kontrol karakteristiklerinin hedef değerden değişkenliğini düşürerek endüstriyel süreç kontrolünün kalitesini izlemek için kullanılan bir araçtır. Çalışmada, oto korelasyonlu süreçleri izlemek için tek değişkenli ve çok değişkenli kontrol çizelgeleri geliştirmek ve aynı süreç için tek değişkenli ve çok değişkenli kontrol çizelgelerini karşılaştırmak amaçlanmıştır. İlgili literatürde tek değişkenli ve çok değişkenli kontrol tabloları ayrı ayrı incelenmiştir. Bu tezde tek değişkenli kontrol çizelgeleri ile çok değişkenli kontrol çizelgelerinin karşılaştırılması incelenmiştir.
Üçüncü parti lojistik hizmet sağlayıcısı seçim kriterlerinin türk ve avrupalı şirketler için karşılaştırılması
(2018) Sağım, Gizem; Öner, Erdinç
In this study, third-party logistics (3PL) service provider selection criteria between Turkish and European companies are compared. A survey, consisting of two main parts, is prepared for comparison. The first part of the survey contains questions regarding the general information about the companies and the second part contains questions to determine the importance degree of thirteen third-party logistics provider selection criteria, which are determined based on the literature review. The Five-point Likert scale is used in the survey, where 1 indicates strongly disagree, 2 disagree, 3 undecided, 4 agree and 5 strongly agree. One hundred three responses are received from Turkey and 36 are received from Europe for the survey. The data is analyzed using SPSS software. Dependability, service quality and management quality are determined as the most important criteria for third-party logistics service provider selection in Turkey, and dependability, flexibility and good communication skills are determined as the most important criteria for third-party logistics service provider selection in Europe according to survey results. Parametric and nonparametric, Independent Samples T and Mann Whitney U tests are performed in SPSS for survey response analysis. According to the results of the tests, system capabilities, location and financial stability criteria are statistically different between Turkey and Europe. These criteria are much more important for Turkish companies compared to the European companies. Lastly, a comparison is made for the selection criteria according to participating company profiles.