Process capability: A New Criterion for Loss Function–Based Quality Improvement
Öz
Response surface methodology (RSM) – the method most preferred by quality engineers – is a natural and effective tool to achieve the desired process quality. Most of the current literature on process quality does not focus on information relating to how much better or worse a process is and also the degree of the process performance. On the other hand, although the process performance criteria are able to predict process capability, they cannot provide significant information relating to the process quality in terms of rate of rejects and losses. Therefore, this paper takes into account these two concepts and defines a criterion based on the process capability indices for the upside-down normal loss function (UDNLF). The proposed approach determines the optimal settings of a given process by minimizing the expected UDNLF which is defined in terms of and indices. The proposed procedure and its merits are illustrated on the basis of an example.
Anahtar Kelimeler
Kaynakça
- [1] Taguchi, G. 1986. Introduction to Quality Engineering: Designing Quality into Products and Processes. Asian Productivity Organization, Tokyo,p. 191.
- [2] Spiring, F. 1993. The reflected normal loss function. Canadian Journal of Statistics. 21(1), 321-330.
- [3] Spiring, F., Yeung, A. 1998. A general class of loss functons with industrial applications. Journal of Quality Technology, 32(2), 152-162.
- [4] Drain, D.C., Gough, A.M. 1996. Applications of the upside-down normal loss function. IEEE Transactions on Semiconductor Manufacturing, 9, 143–145.
- [5] Box, G.E.P., Wilson, K.B. 1951. On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society, 13, 1-45.
- [6] Vining, G.G., Myers R.H. 1990. Combining Taguchi and response surface philosophies: A dual response approach. Journal of Quality Technology, 22(1), 38-45.
- [7] Del Castillo, E., Montgomery, D.C. 1993. A nonlinear programming solution to the dual response problem. Journal of Quality Technology, 25, 199-204.
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Ayrıntılar
Birincil Dil
Türkçe
Konular
-
Bölüm
-
Yazarlar
Yayımlanma Tarihi
5 Ekim 2018
Gönderilme Tarihi
1 Aralık 2017
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2018 Cilt: 22
APA
Zeybek, M. (2018). Process capability: A New Criterion for Loss Function–Based Quality Improvement. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 22, 470-477. https://izlik.org/JA66WG64HM
AMA
1.Zeybek M. Process capability: A New Criterion for Loss Function–Based Quality Improvement. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 2018;22:470-477. https://izlik.org/JA66WG64HM
Chicago
Zeybek, Melis. 2018. “Process capability: A New Criterion for Loss Function–Based Quality Improvement”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 22 (Ekim): 470-77. https://izlik.org/JA66WG64HM.
EndNote
Zeybek M (01 Ekim 2018) Process capability: A New Criterion for Loss Function–Based Quality Improvement. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 22 470–477.
IEEE
[1]M. Zeybek, “Process capability: A New Criterion for Loss Function–Based Quality Improvement”, Süleyman Demirel Üniv. Fen Bilim. Enst. Derg., c. 22, ss. 470–477, Eki. 2018, [çevrimiçi]. Erişim adresi: https://izlik.org/JA66WG64HM
ISNAD
Zeybek, Melis. “Process capability: A New Criterion for Loss Function–Based Quality Improvement”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 22 (01 Ekim 2018): 470-477. https://izlik.org/JA66WG64HM.
JAMA
1.Zeybek M. Process capability: A New Criterion for Loss Function–Based Quality Improvement. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 2018;22:470–477.
MLA
Zeybek, Melis. “Process capability: A New Criterion for Loss Function–Based Quality Improvement”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, c. 22, Ekim 2018, ss. 470-7, https://izlik.org/JA66WG64HM.
Vancouver
1.Melis Zeybek. Process capability: A New Criterion for Loss Function–Based Quality Improvement. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. [Internet]. 01 Ekim 2018;22:470-7. Erişim adresi: https://izlik.org/JA66WG64HM