Browsing by Author "Oral, Muhittin."

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    Level of competitiveness: |a case in Turkish textile industry
    (Thesis (M.S.)- Bogazici University. Institute for Graduate Studies in Science and Engineering, 1982., 1982.) Akban, Ayfer.; Oral, Muhittin.
    This study investigates the nature and degree of competitiveness in Turkish Textile Industry. An industrial survey has been conducted among twelve firms employing a questionnaire due to Oral. Based on the results of the survey, a mathematical model developed by Oral has been implemented to evaluate the level of competitiveness in the Industry. The model investigates the qualitative and quantitative variables which influence level of competitiveness, groups them, defines these groups as factors, studies the interaction of the factors and formulates level of competitiveness as a function of the relevant factors. Level of competitiveness is then computed under different scenarios and influence df basic factors on level of competitiveness is investigated through a parametric analysis. Consequently, goals for long term planning, which may be of help to improve level of competitiveness on sectorial basis have been defined.
  • Thumbnail Image
    Item
    Sales forecasting for the footwear industry in Turkey in relation to the Beykoz shoe factory
    (Thesis (M.A.) - Robert College. Faculty of the School of Business Administration and Economics, 1967., 1967.) Oral, Muhittin.
  • Thumbnail Image
    Item
    The performance of the SPT-T rule on a multiproduct, multifacility production system
    (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 1982., 1982.) Şahin, Orhan.; Oral, Muhittin.
    This thesis presents a payment scheduling problem with bonus and penalty where both the client and the contractor are considered. In the study, an equitable solution is sought to determine the amount and timing of the payments. The equitable solution is defined as one where both the contractor and the client deviate from their respective ideal solutions by an equal percentage. The unit bonus and penalty are taken as constant percentages of the total payment with respect to the completion of the project under a given deadline. The bonus earned by the early completion is shared between two parties. However, the whole penalty is incurred by the contractor. Since the bonus and the penalty have an effect in the same direction on the project schedule, the bonus and the penalty cases are considered separately. In this thesis, a double genetic algorithm is employed, where the outer loop reveals a payment distribution, and the inner loop determines the timing of the activities and the payments so as to achieve maximum NPV for the contractor under a given payment distribution. The proposed GA is evaluated using a set