In the real world applications, frequently may be faced up with transportation problems that these quantities may not be known in precise manner. The supplies and demands may be uncertain due to some uncontrollable factors. In this study, we have presented an algorithm solving fuzzy transportation problem using membership functions of these fuzzy numbers when the unit shipping costs, the supply quantities and the demand quantities are fuzzy numbers. The proposed solution algorithm to fuzzy transportation problem yields optimal compromise solutions. To show the ability the proposed solution, the numerical example has been presented. The given example is solved using optimization software WINQSB [16].
Gercek problemlerde, miktarlanrun kesin olarak bilinmedigi tasima problemleri ile sik sik karsilasihr. Mevcut stok ve talep miktarlan bazt kontrol edilemeyen etmenlerden dolayi belirsiz olabilir. Bu cahsrnada, birim tasima maliyetleri ile stok ve talep miktarlan bularuk sayilar oldugunda, bularuk sayilann iiyelik fonksiyonlanm kullanarak bularuk tasirna problemini cozen bir algoritma sunduk. Onerilen bu cozurn algoritmasinda, tasima probleminin optimal uygun cozumleri elde edildi. Onerilen cozumtln etkinligini gostermek icin, sayisal ornek verildi. Verilen ornek WINQSB[16] optimizasyon prograrru ile cozuldu.
Primary Language | Turkish |
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Subjects | Engineering |
Journal Section | Articles |
Authors | |
Publication Date | June 15, 2007 |
Published in Issue | Year 2007 Issue: 013 |
HAZİRAN 2020'den itibaren Journal of Scientific Reports-A adı altında ingilizce olarak yayın hayatına devam edecektir.