BULANIK ORTAMDA TEDARİKÇİ SEÇİMİ: SAVUNMA SANAYİİ’NE YÖNELİK BİR UYGULAMA

Tedarikçi seçimi işletmeler açısından stratejik önem taşımaktadır. Özellikle de stratejik kararların alındığı süreçte yaşanan belirsizlikler ve ortamın bulanıklığı karar alma sürecini önemli ölçüde etkilemektedir. Bu nedenle mevcut çalışmanın amacı, stratejik bir karar niteliği taşıyan tedarikçi seçiminde bulanık ortamın yarattığı belirsizliklerin önüne geçebilmek ve nicel değerlendirme kriterleri ile daha objektif bir değerlendirme metodolojisi ortaya koyarak, savunma sanayii tedarik modellerine uygun kriterler çerçevesinde çok kriterli karar verme yöntemlerinden bulanık TOPSIS kullanılarak alternatif tedarikçiler arasından en uygun olanını seçmektir. Bu amaca yönelik çalışmada bulanık TOPSIS yöntemi kullanılmıştır. Sonuçta, savunma sanayi açısından birçok karar kriterini modele dahil ederek bulanık ortamda stratejik karar alınmasına ve en iyi alternatifin değerlendirilmesine yönelik bir uygulama önerisi getirilmiştir.

Anahtar Kelimeler:

Tedarik Zinciri Yönetimi, Tedarikçi Seçimi, Bulanık TOPSIS, Stratejik Karar Verme, Savunma Sanayi, Havacılık Endüstrisi.

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Supplier selection is a strategic tool for organizations. Especially, there are a lot of uncertainities occur in these processes that obstruct strategic decision making. So, the aim of this study to make the supplier selection which is made among quantitative alternatives, by the fuzzy TOPSIS method which is one of the MCDM methods, considering the supplier criteria convenient for defence industry, in fuzzy environment. Fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions) is based on the principal that the ideal solution is within the closest distance with the fuzzy positive ideal solution and it is within the furthest distance with the fuzzy negative ideal solution. Results proposed an application for supplier selection under fuzzy environment with respect to the strategic decision alternatives for defence industry

Keywords:

Supply Chain Management, Supplier Selection, Fuzzy TOPSIS, Strategic Deci,

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