Penggunaan Bilangan Fuzzy Segitiga pada Perbandingan Kemampuan Proses
DOI:
https://doi.org/10.20956/jmsk.v14i2.3552Abstract
Kebanyakan metode-metode untuk menilai kemampuan proses manufaktur menggunakan bilangan biasa. Dalam tulisan ini dibahas metode untuk menilai kemampuan proses (Perbandingan Kemampuan Proses) dengan menggunakan bilangan fuzzy yang mempunyai fungsi keanggotaan berbentuk segitiga. Perbandingan Kemampuan Proses (PKP) tersebut diperlukan apabila batas spesifikasi yang diberikan adalah fuzzy. Beberapa hubungan di antara PKP fuzzy tersebut juga akan diberikanReferences
Abdy, M., 2008, Dasar-Dasar Teori Himpunan Kabur dan Logika Kabur, Badan Penerbit UNM, Makassar.
Hsiang, T.C., Taguchi, G., 1985, Tutorial on Quality Control and Assurance – The Taghuci Method, Joint Meeting of American Statistical Association.
Jorg Hoppner & Hans Wolf, 1995, The Design of Fuzzy Shewhart Control Chart, Technical Report, Abteilung Stochastik, Universitat Ulm, Germany.
Juran, J. M, 1974, Juran’s Quality Control Handbook, (3rd ed), McGraw-Hill, New York.
Kane, V. E, 1986, Process Capability Indices, Journal of Quality Technology, 18, 41- 52.
Kotz, S, 1993, Process Capability Indices, Chapman and Hill, New York.
Montgomery, D. C, 2001, Introduction to Statistical Quality Control, John Wiley, New York.
Parchami et al., 2006, Process Capability Indices as Fuzzy Number, Australian Journal of Statistics, 34, 301-321.
Pearn et al., 1992, Distribution and Inferential Properties of Capability Indices, Journal of Quality Technology, 24, 41-52.
Taheri, S. M, 2003, Trends in Fuzzy Statistics, Austrian Journal of Statistics, 32, 239-257.
Youngtin, C, 1996, Fuzzy Quality and Analysis on Fuzzy Probability, Fuzzy Set and System, 83, 283-290.
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