Güray, Cenk

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Güray,C.
Guray, Cenk
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Cenk, Guray
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Cenk, Güray
Güray, Cenk
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Doktor Öğretim Üyesi
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Scholarly Output

5

Articles

4

Citation Count

26

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1

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Now showing 1 - 5 of 5
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    Article
    Citation Count: 3
    Developing a multi-stage production planning and scheduling model for a small-size food and beverage company
    (International Information and Engineering Technology Association, 2021) Çelebi, Neşe; Güray, Cenk; Güray,C.; Industrial Engineering; Department of Metallurgical and Materials Engineering
    A great deal of research has been undertaken in recent years related to facility capacity expansion and production planning problems under deterministic and stochastic constraints in the literature. However, only a small portion of this work directly addresses the issues faced by the food and beverage industry, especially in small-sized enterprises. In this study, a Mixed-Integer Linear Programming model (MILP) is developed for production planning and scheduling decisions for a small-size company producing syrup and jam products. The main constraint is that the multiple syrup and jam production lines in the model share the same limited-capacity module designed for inventory planning. To this end, the present model offers an efficient solution for executing a multi-product, multi-period production line by finding the most satisfactory strategy to match the right product with the useable capacity leading to profit maximization. The present approach is capable of coping with varying demands by offering a detailed costing procedure and implementing an effective inventory model. © 2021 Lavoisier. All rights reserved.
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    Article
    Citation Count: 13
    Ore-age: a hybrid system for assisting and teaching mining method selection
    (Pergamon-elsevier Science Ltd, 2003) Güray, Cenk; Çelebi, Neşe; Paşamehmetoğlu, A. Günhan; Pasamehmetoglu, AG; Industrial Engineering; Department of Metallurgical and Materials Engineering; Department of Civil Engineering
    Mining method selection is among the most critical and problematic points in mining engineering profession. Choosing a suitable method for a given ore-body is very important for the economics, safety and the productivity of the mining work. In the past studies there are attempts to build up a systematic approach to help the engineers to make this selection. But, these approaches work based on static databases and fail in inserting the intuitive feelings and engineering judgments of experienced engineers to the selection process. In this study, a system based on 13 different expert systems and one interface agent is developed, to make mining method selection for the given ore-bodies. The agent Ore-Age, to follow his goal of supplying the maximum assistance to engineers in selecting the most suitable method for a specific ore-body, tries to learn the experiences of the experts he has faced. After this learning process the knowledge base is evolved to include these experiences, making the system more efficient and intuitive in mining method selection work. To realize the above goal, the system's tutoring procedure is executed by the agent, in case an inexperienced user enters the system, to complete his/her missing knowledge about mining method selection. (C) 2002 Elsevier Science Ltd. All rights reserved.
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    Article
    ORE-AGE: AN INTELLIGENT TUTORING SYSTEM MODEL FOR MINING METHOD SELECTION
    (The International Journal of Mineral Resources Engineering, 2008) Güray, Cenk; Department of Metallurgical and Materials Engineering
    Mining method selection is a critical decision for an economic, safe productive mining work. Each orebody is unique with its own properties and engineering judgment has a great effect on the decisions. In this study an intelligent assisting and tutoring system for preliminary underground mining method selection is developed. This systems is called Ore-Age, whose goal is making the preliminary mining method selection as effeciently as posssible too while giving them a remarkable education on mining method selection. Due to its semi-autonomous character, Ore-Age determşnes to direct its execution strategy based on the expertise levels od the users. Ore-Age acts as an assisting tool for the experienced engineers during the selection process and continuously looks for the help of its neuro-fuzzy learning algorithm. The reason of Ore-Age to take this learning procedure is to imitate and behave like these experts during his future selections. Besides this ability, Ore-Age tries to act as a tutoring system as efficiently as possible when he faces inexperienced engineers. The regular strategy of teaching process depends on an iterative algorithm checking the decisive concepts one by one to find the point of misconception leading to wrong selection. Furthermore as an alternative strategy, by his error modeling property, Ore-Age can alter hhis strategy and concentrate the users directly to the possible points of misconception, without using the previous "time demanding" algorithm. This system aiming the model thecognitive behaviour of the student is an indication of the reactive characteristic of the system that can alter the strategies based on his own logical decison to achieve a more efficient tutoring procedure. The system that is being developed in this study can be introduced as the first example of dynamic, intelligent assisting and tutoring systems in the mining profession.
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    Doctoral Thesis
    Füze sistemlerinin güvenilirlik tahmini için yeni bir yaklaşım
    (2012) Genç, Yiğit Koray; Güray, Cenk; Güray, Cenk; Arıkan, Kutluk Bilge; Department of Metallurgical and Materials Engineering; Industrial Engineering
    Günümüzde güvenilirlik bir mühendislik sisteminin en önemli performans göstergelerinden biri haline gelmiştir. Son yıllarda, problemlerin karmaşıklığı arttığından, bu problemleri ele alacak mühendislik sistemlerinin de karmaşıklığı artmaktadır. Buna göre sistemleri oluşturan bileşen sayılarında artış görülmektedir. Belirtilen her iki etken de maliyet artışına sebep olmakta ve ağırlık, boyut vb. kısıtlamalar çerçevesinde daha rekabetçi ürünler ortaya koymayı gerektirmektedir. Savunma sanayi güvenilirlik çalışmalarının sıkça kullanıldığı bir alandır. Bu alanda füze, uçak, helikopter, tank sistemleri gibi son derece karmaşık ve pahalı sistemler yer almaktadır. Zorlu operasyon koşullarında kendilerine atanan kritik görevleri yerine getirmek için tasarlanan bu sistemlerin dayanıklılık ve performans gereksinimleri, bu sistemlerin daha güvenilir tasarlanabilmeleri için güvenilirlik tahmini yapılmasına olanak sağlayacak araçlar gerektirmektedir. Bu tezde, füze sistemlerinin henüz tasarım aşamasında iken güvenilirliğini tahmin etmeyi sağlayacak ve karar destek sistemi olarak kullanılabilecek yeni bir bulanık tahmin yöntemi önerilmektedir.
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    Article
    Citation Count: 10
    DEMAND FORECASTING: A COMPARISON BETWEEN THE HOLT-WINTERS, TREND ANALYSIS AND DECOMPOSITION MODELS
    (Univ Osijek, Tech Fac, 2017) Türkmen, Güzin; Guray, Cenk; Güray, Cenk; Çelebi, Neşe; Computer Engineering; Department of Metallurgical and Materials Engineering; Industrial Engineering
    In food production industry, forecasting the timing of demands is crucial in planning production scheduling to satisfy customer needs on time. In the literature, several statistical models have been used in demand forecasting in Food and Beverage (F&B) industry and the choice of the most suitable forecasting model remains a central concern. In this context, this article aims to compare the performances between Trend Analysis, Decomposition and Holt-Winters (HW) models for the prediction of a time series formed by a group of jam and sherbet product demands. Data comprised the series of monthly sales from January 2013 to December 2014 obtained from a private company. As performance measures, metric analysis of the Mean Absolute Percentage Error (MAPE) is used. In this study, the HW and Decomposition models obtained better results regarding the performance metrics.