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Koleksiyon : Endüstri Mühendisliğ ... ✕Koleksiyon : Mühendislik Fakültes ... ✕

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Erişime Açık

Project staff scheduling with theory of coalition

Oğuzhan Ahmet ARIK | Erkan KÖSE

Project scheduling has been still one of the hottest topics in the management area. The goal of traditional project management is to complete the project at the earliest possible time in accordance with the available resources without violating priority relations of the activities involved. Unlike traditional project management, this study deals with the possibility of a coalition among the staf available to accomplish tasks of the project. The tasks can be fulflled by more than one staf members. Staf’s coalition shortens the completion time of the tasks. A natural problem that arises in this ...Daha fazlası

Makale/Derleme 2019 GROUP DECISION AND NEGOTIATION 15 Görüntülenme

Erişime Açık

Locating unmanned aircraft systems for multiple missions under different weather conditions

Erkan KÖSE

Motivated by the increasing civilian use of Unmanned Aerial Vehicles (UAVs), this paper considers the simultaneous location and routing of UAVs for multiple missions and diferent weather conditions. We include modeling and computational experience inspired by requirements for air surveillance by the Turkish government’s public agencies. We model these demands in multiple mission areas and consider the impact of diferent weather conditions on the ability to employ UAVs from diferent geographic locations. We formulate the problem as a two-stage stochastic integer linear program with recourse and ...Daha fazlası

Makale/Derleme 2019 Operational Research 11 Görüntülenme

Çok atamalı-kapasitesiz p-adü medyan probleminin yapay arı kolonisi algoritmasıyla çözümü

Betül YILDIRIM

Bildiri

Bildiri 2019 39. Yöneylem Araştırması ve Endüstri Mühendisliği Kongresi, Başkent Üniversitesi/Ankara ( Optimization ) , pp. 8 - 81 11 Görüntülenme

A hybrid group MCDM method based on IFS and GRA for gren suplier selection

Erkan KÖSE

Bildiri

Bildiri 2017 X International Logistics & Supply Chain Congress 2012 Proceedings , pp. 1 - 157 12 Görüntülenme

Bulanık bozulma ve öğrenme etkileri altında tek makine erken/geç tamamlanma probleminin bulanık şans kısıtlı programlama tekniği ile incelenmesi

Oğuzhan Ahmet ARIK

Bu çalışmada tamamıyla bulanık ortamdaki tek makine çizelgeleme probleminde, öğrenme ve bozulma etkileri altındaki işlere ait ağırlıklı erken/geç tamamlanma maliyetlerinin en aza indirilmesi için bulanık karma tamsayılı doğrusal olmayan bir matematiksel model sunulmuştur. Çalışma içerisindeki işlem süreleri, öğrenme etkisi ve bozulma etkisi gibi parametreler belirsizlikleri nedeni ile bulanık sayılar olarak modellenmiştir. Öğrenme ve bozulma etkileri çizelgeleme problemlerinde yirmi yıldır oldukça ilgi görmektedirler. Erken/geç tamamlanma problemleri tam zamanında üretim felsefesini benimseyen ...Daha fazlası

Makale/Derleme 2018 Sakarya Üniversitesi Fen Bilimleri Dergisi 8 Görüntülenme

Bulanık bozulma ve öğrenme etkisi altında tek makine teslim tarihi atama problemi

Oğuzhan Ahmet ARIK

Bu çalışmada tek makine ortamında bulanık bozulma ve öğrenme etkisi altında erken tamamlanma ve geç kalma sürelerinin toplamlarını en aza indirecek şekilde teslim tarihi ataması yapılacaktır. Probleme konu olan parametrelerin çoğu üçgen bulanık sayıları ile ifade edilmiştir. Belirsizlik parametrelere ait değerlerin rassal olarak ifade edilmesi değildir, iyi bilinmeyen, kesin olarak ifade edilemeyen değerlerin kapalı bir aralık içerisinde tanımlanmasıdır. Öyle ki, daha önce yapılmamış bir işe ait işlem süresinin ne kadar olacağının belirlenmesi bulanık sayılardan faydalanılarak, gerçekleşmesi b ...Daha fazlası

Bildiri 2018 Yöneylem Araştırması ve Endüstri Mühendisliği (YAEM) 36. Ulusal Kongresi (Özet Bildiri/Sözlü Sunum) 10 Görüntülenme

Multy Variable Grey Method For Multy Point Deformation Analysis Çok Noktalı Deformasyon Analizi İçin Çok değişkenli Gri Sistem

Erkan KÖSE

Grey theory is one of the methods used to study uncertainty. The uncertain systems characterized by small sample and poor information are the study object of grey system theory. Multivariable grey prediction models are part of grey forecasting system. They are presented if there are mutual relations among the factors in the system. They believe that all the influencing factors are not independent of each other and should be regarded as a whole. In multivariable grey forecasting models, the future value of a variable is tried to be forecasted considering the other influential factors in the sys ...Daha fazlası

Bildiri 2018 Fırat University Turkish Journal of Science & Technology13 ( 1 ) , pp. 6 - 68 10 Görüntülenme

Multi-objective fuzzy parallel machine scheduling problems under fuzzy job deterioration and learning effects

Oğuzhan Ahmet ARIK

This paper investigates a multi-objective parallel machine scheduling problem under fully fuzzy environment with fuzzy job deterioration effect, fuzzy learning effect and fuzzy processing times. Due dates are decision variables for the problem and objective functions are to minimise total tardiness penalty cost, to minimise earliness penalty cost and to minimise cost of setting due dates. Due date assignment problems are significant for Just-in-Time (JIT) thought. A JIT company may want to have optimum schedule by minimising cost combination of earliness, tardiness and setting due dates. In th ...Daha fazlası

Makale/Derleme 2018 International Journal of Production Research 9 Görüntülenme

Credibility based chance constrained programming for project scheduling with fuzzy activity durations

Oğuzhan Ahmet ARIK

This paper proposes a credibility based chance constrained programming approach for project scheduling problems with fuzzy activity durations where the objective is to minimize the fuzzy project completion time. This paper expresses the fuzzy events such as a project activity’s duration or project completion time with fuzzy chance constraints and the chance of a fuzzy event is illustrated with fuzzy credibility distribution. Due to uncertainty in durations of a project, fuzzy sets and fuzzy numbers can be used in order to illustrate the uncertainty and find a solution space for the problem. Th ...Daha fazlası

Makale/Derleme 2019 An International Journal of Optimization and Control: Theories & Applications 9 Görüntülenme

Genetic algorithm applied to the flow shop scheduling problem under effects of fuzzy learning and deterioration with a common fuzzy due date

Oğuzhan Ahmet ARIK

This research is to develop an approximate solution for a flow shop scheduling problem under the effects of fuzzy learning and deterioration with a common fuzzy due date by applying genetic algorithm technique. Real life is complex and filled with ambiguity and uncertainty. Due dates may not be always determined by a decision maker because of their biased approach and past experiences. Therefore, due dates may be defined in forms of any fuzzy set to encode decision maker’s biased approaches and satisfaction levels for completion times of jobs. The objective function of the problem in this rese ...Daha fazlası

Makale/Derleme 2018 New Trends and Issues Proceedings on Humanities and Social Sciences 11 Görüntülenme

Fuzzy parallel machine scheduling problem under fuzzy job deterioration and learning effects with fuzzy processing times

Oğuzhan Ahmet ARIK

This chapter presents a mixed integer non-linear programming (MINLP) model for a fuzzy parallel machine scheduling problem under fuzzy job deterioration and learning effects with fuzzy processing times in order to minimize fuzzy makespan. The uncertainty of parameters such as learning/deterioration effects and processing times in a scheduling problem makes the solution of the problem uncertain. Fuzzy sets can be used to encode uncertainty in parameters. In this chapter, possibilistic distributions of fuzzy parameters and possibilistic linear programming approaches are used in order to create a ...Daha fazlası

Kitap Bölümü 2018 Advanced Fuzzy Logic Approaches in Engineering Science , pp. 4 - 67 23 Görüntülenme

Dynamic programming approach to selling and buying of stocks in XU030 ındex of BIST by forecasting stock prices for next five years

Oğuzhan Ahmet ARIK

- In this paper, historical data of stocks in the XU030 index of BIST are examined by considering their trends and seasonal behaviors in order to forecast next five year’s stock prices by using ARIMA or seasonal ARIMA technique. Then, a mixed integer programming model is executed for generating a portfolio management for next five years. The proposed mixed integer programming model is based on knapsack problem. The knapsack problem is one of the most applicable portfolio management models.

Bildiri 2018 International Conference on Advanced Technologies, Computer Engineering and Science (ICATCES’18), May 11-13, 2018 Safranbolu, Turkey 8 Görüntülenme