Kalite kontrol problemlerinin çözümünde uzman sistemlerin kullanımı

İşletmeler, artan rekabetle birlikte pazar yapısının değişmesi ve müşteri isteklerinin ekonomik bir şekilde karşılanması amacıyla kalite ve kontrol çalışmalarında büyük değişimler göstermektedir. Firmalar, yapay zeka tekniklerini üretim planlama, kalite kontrol gibi alanlarda kullanarak verimliliklerini artırmayı ve problemlere en kısa zamanda çözüm üretmeyi amaçlamaktadırlar. Bu teknikler, bir çok problemin çözümünde etkin olarak kullanılmaktadır. Çalışmada yapay zeka tekniklerinden olan uzman sistemlerin kalite kontrol problemlerinin çözümündeki kullanımı incelenmiştir. Veri analizi, tahmin, yorumlama, hata teşhisi gibi pek çok kalite kontrol problemi için uzman sistemler kullanılmaktadır. Uzman sistem ile birlikte kalite kontrol faaliyetleri daha etkin uygulanmakta ve kontrol süreleri minimize edilebilmektedir. Çalışmada, son on yılda kalite kontrol problemlerinin çözümü için geliştirilen uzman sistemler incelenmiştir.

Using expert systems to solve quality control problems

Companies achieved great improvement in quality and control processes to meet customer satisfactions economically to adapt changing market structure. Firms objected to increase productivity and to find solutions in a short time, by using artificial intelligence techniques in production planning and quality control. These techniques are used efficiently in solving most of the problems. In this study, usage of expert systems, which is a type of artificial intelligence technique, is investigated in quality control problems. Expert systems are used in a number of quality control problems like data analysis, forecasting, interpretation and fault diagnosis. By using expert systems, quality control processes can be applied more efficiently and control times can be minimized. In this paper, expert systems, which are developed for quality control problems in the last decade, are reviewed.

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