ALÜMİNYUM ÜRETİM TESİSİNİN ÜÇGEN BULANIK SAYILAR KULLANILARAK X-R KONTROL ŞEMALARININ BULANIK MANTIK UYGULAMASI

Bu çalışmada, üretim sürecini izlemek için bulanık ortalama ve aralık kontrol grafikleri kullanılmıştır. Bulanık kontrol çizelgeleri, belirli bir süre aralığında fabrikadan veri toplanmış ve fabrika tarafından kullanılan Shewhart kontrol çizelgeleri ile karşılaştırılmıştır. Sonuçlar, bulanık kontrol grafiklerinin Shewhart kontrol grafiklerine göre üretim sürecindeki hataları daha doğru bir şekilde tespit ettiği görülmüştür. Bu yöntem, kaliteyi ve verimliliği artırmıştır. İşlem yeteneği endeksleri (PCI'ler), bir işlemin tanımlanmış yetenek önkoşulunu onaylayıp onaylamadığına dair sayısal önlemler sağlar. Bunlar, sürecin şartname sınırlarını (SL'ler) ne kadar iyi karşıladığına karar verme yeteneğini ölçmek için kullanılmıştır. PCI'lar şirketler tarafından kalite ve verimlilik performansını değerlendirmek için uygulanmıştır. X-R kontrol grafikleri kullanılarak yapılan bulanık proses yeterlilik analizi daha doğru sonuçlar vermiştir.

Anahtar Kelimeler:

İstatistiksel Kalite Kontrolü, Bulanık Kontrol Kartı, Proses Yeterlilik İndeksleri, Alüminyum

A FUZZY APPLICATION OF X-R CONTROL CHARTS OF AN ALUMINUM PRODUCTION PLANT USING FUZZY TRIANGULAR NUMBERS

In this study, fuzzy mean and range control charts were used to follow the feeding material and concentrate production line of Eti Aluminum Co. Fuzzy control charts were collected from the factory over a period of time and compared to Shewhart control charts used by the factory. The results showed that fuzzy control charts detected errors in the production process more accurately than Shewhart control charts. This method has increased quality and efficiency. Process capability indices (PCIs) provide numerical measures as to whether a process has confirmed the defined capability prerequisite. These were used to measure the process's ability to decide how well it meets specification limits (SLs). PCIs have been implemented by companies to evaluate quality and efficiency performance. Fuzzy process capability analysis using X-R control charts gave more accurate results.

Keywords:

Statistical Process Control, Fuzzy Control Chart, Process Capability Indices, Aluminum,

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Mugla Journal of Science and Technology-Cover

ISSN: 2149-3596
Yayın Aralığı: Yılda 2 Sayı
Başlangıç: 2015
Yayıncı: Muğla Sıtkı Koçman Üniversitesi Fen Bilimleri Enstitüsü

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