第二階段自我相關線性輪廓的監控方法

黃婉瑄

doi:10.6846/TKU.2015.00480

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第二階段自我相關線性輪廓的監控方法

Phase II monitoring schemes for autocorrelated linear profiles

黃婉瑄 , Masters　　Advisor：王藝華　　

繁體中文 DOI： 10.6846/TKU.2015.00480

Abstract │ Reference (41) │ Times Cited (1) │ Altmetrics

Abstract 〈TOP〉

Parallel Abstract 〈TOP〉

When the quality of a process or product can be characterized and represented by a functional relationship, a collection of this kind of data is called a profile. Profile monitoring is to monitor the stability of this relationship. The error term of simple linear profile is often assumed to be independent. However, in some applications, there is autocorrelation between profiles. Therefore, in this article, we consider the simple linear profiles with a first order autocorrelation relationship over time in Phase II. We propose four monitor schemes and compare these schemes with the shemes proposed by Noorossana et al. (2008). From the simulation results, our schemes have better performance than Noorossana et al. (2008)'s. Moreover, we propose a change point estimation method for this profile model. From the simulation results, the proposed change point estimation method has satisfactory performance. Finally, a practical example is used to illustrate how to apply our monitoring and diagnostic method.

Reference ( 41 ) 〈TOP〉

Chuang, S. C., Hung, Y. C., Tsai, W. C., and Yang, S. F. (2013). “A framework for nonparametric profile monitoring”. Computers and Industrial Engineering, 64, pp. 482-491.
連結：
Ghahyazi, M. E., Niaki, S. T. A., and Soleimani, P. (2014). “On the monitoring of linear profiles in multistage processes”. Quality and Reliability Engineering International, 30, pp. 1035-1047.
連結：
Kang, L., and Albin, S. L. (2000). “On-Line Monitoring When the Process Yields a Linear Profile”. Journal of Quality Technology, 32, pp. 418-426.
連結：
Kim, K., Mahmoud, M. A., and Woodall, W. H. (2003). “On the monitoring of linear profiles”. Journal of Quality Technology, 35, pp. 317-328.
連結：
Li, Z. and Wang, Z. (2010). “An exponentially weighted moving average scheme with variable sampling intervals for monitoring linear profiles”. Computers and Industrial
連結：

Times Cited (1) 〈TOP〉

賴韻如(2017)。第二階段自我相關一般線性輪廓的監控方法。淡江大學統計學系應用統計學碩士班學位論文。2017。1-72。

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