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The basic task of the transportation fleets is to carry personnel and cargo from one point to another according to the daily planned flight schedule. Mission-ready flight crews and aircrafts are needed to accomplish the task. The goal of this paper is to determine which factors affect the success of the daily planned flight schedule and how, and also to define a prediction model to estimate the success of the daily planned flight schedule in order to help making more precise flight schedule. In this study, the simulation model is designed by ARENA software; the inputs defined by the NOLH experiment design, and the outputs are transferred to Design-Expert software. The effects of the factors are analyzed by Design-Expert and the prediction model is defined by using Response Surface. [ABSTRACT FROM AUTHOR]

Georeferencing is a mandatory issue at many applications where the satellite images are used. Georeferencing is based on a transformation between images and objects coordinate systems, and parametric, semi parametric and non-parametric mathematical models are preferred for this issue. A semi-parametric model, i.e. sensor-based RFM (Rational Functional Model) suggested by the OGC (Open Geospatial Consortium) is subjected in this paper. Some theoretical background about the general equation, the estimation of coefficients, the distortions carried and their removing, the simplification of RFMs thanks to the special characteristics of coefficients and also the various adjustment models will be presented at first. Then, the georeferencing accuracies of a mono IKONOS panchromatic image covering Zonguldak test field having an undulating and mountainous topography will be presented using 22 GCPs via a computation package called GeoFigcon derived in Matlab environment by the author. If a bias compensation is applied, the accuracies are mx = ±0.4 pixel, my = ±0.5 pixel when 1st degree RFM is preferred. [ABSTRACT FROM AUTHOR]

Supplier selection problem is a multi-criteria decision making(MCDM) problem which includes both tangible and intangible factors. In this study, supplier selection problem was investigated at a firm that performed in manufacturing industry. Supplier selection problem of a company is examined using Analytic Network Process (ANP) and priorities of alternative suppliers are calculated. ANP is used as a method for getting an effective and realistic solution because the problem has many criteria, complexity, outerdependencies, interdependencies, and feedbacks. By using ANP methodology three alternative suppliers were evaluated and the best alternative was selected. In addition, some suggestions for the future research are offered. [ABSTRACT FROM AUTHOR]

It is known that adaptive estimation models are used in different time intervals of the motion projection of maneuvering targets. In this study Interacting Multiple Model (IMM) estimation technique is implemented and its performance is tested on an air traffic control track simulation. IMM algorithm is a second degree Bayesian estimation technique and an adaptive estimation model. Air traffic control entity motion is initially simulated with a constant speed of 125 m/s motion for 100 seconds then turned to the left with a 30 ° with a 3 m/s angular speed for 30 seconds and finally finished its motion with a constant speed of 125 m/s for 70 seconds. Then a sensor is placed on a specific coordinate to measure the trajectory motion of the air traffic entity. For the measurements and process simulated Gaussian noise is added during the calculations. The simulated air traffic control entity's motion trajectory and the measurements of the sensor are initially modelled with Interacting Multiple Model-Linear (IMM-L) technique, then Interacting Multiple Model-Coordinated Turn (IMM-CT) and finally they are modelled with a Kalman filter. According to the results the best estimate matches of the motion trajectory of the air traffic control entity is generated by IMM-CT, then Kalman Filter and finally IMM-L algorithms subsequently. [ABSTRACT FROM AUTHOR]