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ÇOK KRİTERLİ KARAR VERME TEKNİKLERİYLE TEDARİKÇİ PERFORMANSI DEĞERLENDİRMEDE TOPLAMSAL BİR YAKLAŞIM

İşletmelerin günümüz rekabet koşullarında tedarik zincirlerini yöneterek, tedarik riskini azaltmaları, maliyetlerini düşürmeleri, diğer taraftan iş süreçlerini optimize etmeli ve değişen müşteri taleplerine hızlı cevap verebilmelidirler. Tedarik zincirinin yönetimsel etkinliği için yeni tedarikçilerin seçimi kadar mevcut tedarikçilerin performansının değerlendirilmesi ve takibi de önemlidir. Bu çalışmada, yurtiçi ve yurtdışı tedarikçilerle çalışan bir firmanın tedarikçi performansları PSI, TOPSIS ve VIKOR gibi üç farklı Çok Kriterli Karar Verme Yöntemi ile incelenmiştir. Yaklaşık iki yıllık veri seti kullanılarak firma tarafından hesaplanan beş gösterge ve 19 tedarikçi çalışma kapsamına alınmıştır. TOPSIS ve VIKOR için gerekli olan kriterlerin göreceli önem ağırlıkları CRITIC Yöntem ile tespit edilmiştir. PSI, TOPSIS ve VIKOR yöntemleri ile elde edilen üç farklı sıralama sınıfı, Borda Sayım Yöntemiyle tek bir toplamsal sınıf altında birleştirilmiştir. Son olarak bu toplamsal sıralama sınıfı yoluyla tedarikçilerin performansı karşılaştırılmıştır.

Anahtar Kelimeler:

Tedarikçi Performansı, PSI, TOPSIS, VIKOR, CRITIC Yöntem, Borda Sayım

AN ADDITIVE APPROACH WITH MULTI-CRITERIA DECISION MAKING METHODS ON EVALUATION OF SUPPLIER PERFORMANCE

In today's competitive environment, the firms have to reduce their supply risks and costs, on the other hand, they have to optimize business processes, and respond to changing customer demands by managing their supply chains. Evaluations and monitoring of existing supplier performances are as important as selection of new suppliers for managerial effectiveness of supply chain. In this study, supplier performances of an international firm were examined with Multi-Criteria Decision Making methods such as PSI and TOPSIS. Using two-year data set, 19 suppliers and five criteria determined by the firm were included in the study. The relative importance weights of criteria needed for TOPSIS were identified with CRITIC Method. Two different ranking classes identified with PSI and TOPSIS merged under an additive ranking class. Finally, the supplier performances were compared through this additive ranking class.

Keywords:

Supplier Performance, PSI, TOPSIS, CRITIC Method, Borda Count Method,

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