Orhan Gerdan | Turkish Military Academy (original) (raw)

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Papers by Orhan Gerdan

Research paper thumbnail of Asi̇metri̇k Loji̇sti̇k Faali̇yetleri̇n Engellenmesi̇: Doğrusal Programlama Modeli̇ Uygulamasi

Güvenlik Bilimleri Dergisi

Research paper thumbnail of English

Advances in Fuzzy Sets and Systems, 2015

Research paper thumbnail of Fuzzy Optimal Production and Shortage Quantity for Fuzzy Production Inventory With Backorder

Abstract: This study aims at presenting fuzzy optimal production Q∗∗ and shortage quantity b∗∗... more Abstract: This study aims at presenting fuzzy optimal production Q∗∗ and shortage quantity b∗∗ for fuzzy production inventory with backorder when setup, holding, and shortage costs are fuzzy. For this purpose, two different fuzzy models, one of which includes crisp production and crisp shortage quantity, and the other of which involves those that are fuzzy, have been presented by making use of trapezoidal fuzzy numbers. For each model, fuzzy total cost FTC has been attained via function principle. In order to defuzzfy the FTC, graded mean integration method has been used, and as to solve inequality constrain problems, Extension of the Lagrangean method has been applied.

Research paper thumbnail of Asi̇metri̇k Loji̇sti̇k Faali̇yetleri̇n Engellenmesi̇: Doğrusal Programlama Modeli̇ Uygulamasi

Güvenlik Bilimleri Dergisi

Research paper thumbnail of English

Advances in Fuzzy Sets and Systems, 2015

Research paper thumbnail of Fuzzy Optimal Production and Shortage Quantity for Fuzzy Production Inventory With Backorder

Abstract: This study aims at presenting fuzzy optimal production Q∗∗ and shortage quantity b∗∗... more Abstract: This study aims at presenting fuzzy optimal production Q∗∗ and shortage quantity b∗∗ for fuzzy production inventory with backorder when setup, holding, and shortage costs are fuzzy. For this purpose, two different fuzzy models, one of which includes crisp production and crisp shortage quantity, and the other of which involves those that are fuzzy, have been presented by making use of trapezoidal fuzzy numbers. For each model, fuzzy total cost FTC has been attained via function principle. In order to defuzzfy the FTC, graded mean integration method has been used, and as to solve inequality constrain problems, Extension of the Lagrangean method has been applied.

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