Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Shin‐Li Lu"'
Autor:
Jen-Hsiang Chen, Shin-Li Lu
Publikováno v:
Mathematics, Vol 10, Iss 13, p 2320 (2022)
An auxiliary information-based maximum exponentially weighted moving average chart, namely, the AIB-MaxEWMA chart, is superior to the existing MaxEWMA chart in detecting small process mean and/or variability shifts. To date, AIB-MaxEWMA chart was des
Externí odkaz:
https://doaj.org/article/c7e04b5ddf33431e8699867995aca386
A New Sum of Squares Exponentially Weighted Moving Average Control Chart Using Auxiliary Information
Autor:
Jen-Hsiang Chen, Shin-Li Lu
Publikováno v:
Symmetry, Vol 12, Iss 11, p 1888 (2020)
The concept of control charts is based on mathematics and statistics to process forecast; which applications are widely used in industrial management. The sum of squares exponentially weighted moving average (SSEWMA) chart is a well-known tool for ef
Externí odkaz:
https://doaj.org/article/40ab3e8256054d63b6db01e7d11f07c9
Autor:
Jen‐Hsiang Chen, Shin‐Li Lu
Publikováno v:
Applied Sciences, Vol 10, Iss 7, p 2252 (2020)
The exponentially weighted moving average t chart using auxiliary information (AIB-EWMA-t chart) is an effective approach for monitoring small process mean shifts when the process standard deviation is unstable or poorly estimated. To further enhance
Externí odkaz:
https://doaj.org/article/dbd41409f1254c8385062fd31b228838
Autor:
Chen-Fang Tsai, Shin-Li Lu
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 9, Iss 1 (2016)
This paper proposes a Social Genetic Algorithm (SGA) that includes a transformation function that has ability to improve search efficiency. The SGA is different from the Traditional Genetic Algorithm (TGA) approaches, as it allows refinement of the T
Externí odkaz:
https://doaj.org/article/3e46391b485e44979b4cdf6e54b06eba
Autor:
Shin-li Lu, 盧鑫理
95
Traditionally, using a control chart to monitor a process assumes that process observations are normally and independently distributed. In fact, for many processes, products are either connected or autocorrelated and, consequently, obtained o
Traditionally, using a control chart to monitor a process assumes that process observations are normally and independently distributed. In fact, for many processes, products are either connected or autocorrelated and, consequently, obtained o
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/yd9s7m
Publikováno v:
Journal of Statistical Computation and Simulation. 93:188-208
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8bfb7803216f79889b52684961cdecf
https://doi.org/10.1080/00949655.2022.2098498
https://doi.org/10.1080/00949655.2022.2098498
Autor:
Chen-Fang Tsai, Shin-Li Lu
Publikováno v:
Grey Systems: Theory and Application, 2015, Vol. 5, Issue 3, pp. 354-366.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/GS-05-2015-0026
Publikováno v:
Quality and Reliability Engineering International. 38:1635-1658
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::332e9fd50696e2e64dd3fe5f7e286a7e
https://doi.org/10.1002/qre.3039
https://doi.org/10.1002/qre.3039
Publikováno v:
Quality and Reliability Engineering International. 37:3242-3261
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::020e14c009b80ff7e0c39749b67d1cc2
https://doi.org/10.1002/qre.2906
https://doi.org/10.1002/qre.2906
Autor:
Shin-Li Lu1 shinlilu@mail.au.edu.tw
Publikováno v:
Proceedings of the Multidisciplinary Academic Conference. 2017, p279-286. 8p.