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İlk İdame İşletme Hesaplamasındaki Tamirlik Malzemelere Yönelik Talep Miktarının Belirlenmesine İlişkin Model Önerisi: F-16 Veri Seti ile Uygulama

The Proposal of Demand Estimation of Repairable Items for the Weapon Systems During the Initial Support Period: F-16 Case Study

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Abstract (2. Language): 
Every country that has military systems such as aircraft, radar, warship or tank has to meet the operational needs of those military systems in order to keep them ready for military operations. Logistics support needs are defined basically either before or after procurement. If they are defined before procurement, they are called "initial support requirement", otherwise called "sustainment support requirement". Due to the fact that new system will be added into the Turkish military inventory, it is focused on the initial support requirement phase. In addition to that, it is focused on repairable items since most of the material acquisition cost within the initial support budget is allocated to repairable items. In this study, within the scope of initial support requirements, the method that produces much better results in terms of quantity and cost perspective than the ones used in Turkey and USA is established and demonstrated by using real data set of F-16.
Abstract (Original Language): 
Bünyesinde uçak, radar, gemi, tank v.b silah sistemlerini bulunduran her ülke, silah sistemlerini faal halde tutmak amacıyla harekât ihtiyaçlarını karşılamak zorundadır. Harekât ihtiyaçları silah sistemleri envantere girmeden önce ya da envantere girdikten sonra belirlenir. Girmeden önce belirlendiğinde ilk idame ihtiyaçları, girdikten sonra ise idame işletme ihtiyaçları olarak adlandırılır. Bu çalışmada, yakın gelecekte Türkiye'nin envanterine yeni uçak gireceğinden dolayı ilk idame işletme safhasına ve ilk idame için ayrılan malzeme bütçesinin büyük çoğunluğunu tamirlik malzemeler oluşturduğu için de tamirlik malzemelere yoğunlaşılmıştır. İlk idame ihtiyaçlarının belirlenmesi kapsamında, Türkiye ve ABD'de uygulanan algoritmalara göre daha iyi sonuç veren bir algoritma geliştirilmiş ve geliştirilen bu algoritmanın etkinliği miktar ve maliyet bazında F-16 uçağına ait gerçek bir veri setinde uygulanarak gösterilmiştir.
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