Nuri ÖMÜRBEK, Meltem KARAATLI, Halil Furkan BALCI

Entropi Temelli MAUT ve SAW Yöntemleri İle Otomotiv Firmalarının Performans Değerlemesi

Bu çalışmada ülkemizde faaliyet gösteren ve aynı zamanda BİST’de (Borsa İstanbul) işlem gören otomotiv sektöründe faaliyette bulunan firmaların performanslarının çok kriterli karar verme yöntemleri ile değerlendirilmesine çalışılmıştır. Türkiye’de faaliyet gösteren en önemli otomotiv şirketlerinin verileri; Sermaye, Hisse Senedi, Piyasa Değeri, Satış Geliri, Personel Sayısı, Net Kar Marjı, Cari Oran, net kar/sermaye, net kar/satışlar ve net satışlar/personel kriterleri çerçevesinde değerlendirilmiştir. Performans ölçümünde kullanılan kriterler ise firmaların 2014 faaliyet raporlarından elde edilmiştir. Öncelikle Entropi yöntemi ile kriterlerin ağırlıkları belirlenmiştir. Elde edilen kriter ağırlıkları önce MAUT (Multi-Attribute Utility Theory) yönteminde daha sonra SAW (Simple Additive Weighting) yönteminde kullanılarak firmaların performansları değerlendirilerek sıralama yapılmıştır. Değerlendirme sonucunda her iki yöntemde de ilk üç sırada aynı firmalar yeralmaktadır.

Anahtar Kelimeler:

Çok Kriterli Karar Verme, Entropi, MAUT, SAW, Otomotiv

Analyzing the Performances of Automotive Companies Using Entropy Based MAUT and SAW Methods

In this study, performances of automotive companies traded on BİST (Istanbul Stock Exchange) and also operated in our country have been compared with the multi-criteria decision making techniques. Data of the most important automotive companies operating in Turkey have been analyzed based on capital, stock certificate, marketing value, sales revenue, number of employees, net profit margin, current ratio, net profit/capital, net profit/sales and net sales/number of employees. Criteria applied on Performance measurement was gained operating reports of companies in 2014. Entropy method has been used to determine the weights of the criteria. Those weights have been used MAUT (Multi-Attribute Utility Theory) and SAW (Simple Additive Weighting) methods to rank automative companies’ performances The findings highlight that the same companies were in the first three places in both methods.

Keywords:

Multiple Criteria Decision Making, Entropy, MAUT, SAW, Automotive,

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