- Eklemek veya çıkarmak istediğiniz kriterleriniz için 'Dahil' / 'Hariç' seçeneğini kullanabilirsiniz. Sorgu satırları birbirine 'VE' bağlacı ile bağlıdır. - İptal tuşuna basarak normal aramaya dönebilirsiniz.
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
This paper proposes a mixed integer programming approach for seasonal anomalies in stock markets and presents a case study for the XU030 index in the stock market of Istanbul Stock Exchange (BIST). Stock markets are significant for economies of countries all over the world. Investors get economical wealth or lose some of their investment by selling and buying stocks. Therefore, buying and selling times of stocks are so important. This paper investigates a well-known effect called as ‘Sell in May and Go Away’ by proposing a MIP approach that searches best times for buying and selling of stocks ...Daha fazlası
This paper proposes a mixed integer programming approach for seasonal anomalies in stock markets and presents a case study for the XU030 index in the stock market of Istanbul Stock Exchange (BIST). Stock markets are significant for economies of countries all over the world. Investors get economical wealth or lose some of their investment by selling and buying stocks. Therefore, buying and selling times of stocks are so important. This paper investigates a well-known effect called as ‘Sell in May and Go Away’ by proposing a MIP approach that searches best times for buying and selling of stocks ...Daha fazlası
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
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
Bu ¸çalışma, Türkiye’nin doğal gaz talep projeksiyonunu tahmin etmek için bir Genetik Algoritma (GA) önermektedir. Türkiye, ısınma, elektrik üretimi ve üretim sektörü için kendi kaynaklarına sahip olsa da; ihtiyaç duyulan doğal gaz miktarının büyük kısmı diğer ülkelerden ihraç edilmektedir. 1980 yıllarda başlayan üretim odaklı büyüme modeli ile Türkiye’de enerji sebepli cari açık oluşmaya başlamıştır. Bu nedenle, doğal gaz gibi hayati enerji kaynaklarının yaklaşık tahmini, dış ticaret açığı olan ülkeler için son derece önemlidir. Bu çalışma, 1998-2017 yılları arasındaki bazı ekonomik göstergel ...Daha fazlası
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
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
This paper presents a Memetic Algorithm (MA) algorithm to forecast natural gas consumption of Turkey. Although Turkey has its own resources to produce natural gas for heating, producing electricity and production; the most of the needed natural gas amount is exported from other countries. Therefore approximate forecasting of vital energy sources such as natural gas is extremely significant for countries having an imbalance between export and import values. This paper suggests MA algorithm for forecasting natural gas consumption in billion cubic meters (bcm) for the years between 2018-2030 by u ...Daha fazlası
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
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
- 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.
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