A Neural Network Approach to Synthetic Control Chart for the Process Mean

QR Code

A Neural Network Approach to Synthetic Control Chart for the Process Mean

In this project, a multivariate synthetic control chart for monitoring the process mean vector of skewed populations using weighted standard deviations has been proposed. The proposed chart incorporates the weighted standard deviation (WSD) method of Chang and Bai (2004) into the standard multivaria...

Full description

Bibliographic Details
Main Authors:	Khoo, Michael Boon Chong, Low, Heng Chin, Ong, Hong Choon
Format:	Monograph
Language:	English
Published:	Universiti Sains Malaysia 2010
Subjects:	QA1 Mathematics (General)
Online Access:	http://eprints.usm.my/26022/ http://eprints.usm.my/26022/1/Pages%20from%20A_Neural_Network_Approach_To_Synthetic_Control_Chart_For_The_Process_Mean.pdf

Similar Items

Univariate And Multivariate Synthetic Control Charts For Monitoring The Process Mean Of Skewed Distributions
by: Ali Atta, Abdu Mohammed
Published: (2010)

Univariate And Multivariate Synthetic Control Charts For Monitoring The Process Mean Of Skewed Distributions
by: Ali Atta, Abdu Mohammed
Published: (2010)

Univariate And Multivariate Synthetic Control Charts For Monitoring The Process Mean Of Skewed Distributions
by: Atta, Abdu Mohammed Ali
Published: (2010)

A study of the median run length (MRL) performance of the EWMA t chart for the mean
by: Chin, W.S., et al.
Published: (2012)

Optimal designs of exponentially weighted moving average (ewma) control chart with runs rules.
by: Khoo , Michael Boon Chong

An EWMA Control Chart for Monitoring the Mean of Skewed Populations Using Weighted Variance.
by: Khoo, Michael B. C., et al.
Published: (2008)

A Study on the Performances of Univariate and Multivariate Synthetic Charts
by: Saranya, Thangarajah
Published: (2017)

A Variable sampling interval EWMA Xbar chart for the mean with auxiliary information
by: Ng, P. S., et al.
Published: (2020)

A Comparison On Neural Network Forecasting.
by: Ong, Hong Choon, et al.
Published: (2011)

New Univariate Synthetic Double Sampling X And Multivariate Synthetic Double Sampling T2 Control Charts
by: Lee, How Chinh
Published: (2017)

Proposed Synthetic And Group Runs Control Charts Based On Runs Rules And Double Sampling Np Methods X
by: Chong , Zhi Lin
Published: (2015)

Optimal variable sample size and sampling interval control chart for the process mean based on expected average time to signal
by: Khaw, K. W., et al.
Published: (2019)

Double moving range control chart
by: Lai, Boon Sing
Published: (2020)

Optimal Designs Of Univariate And Multivariate Synthetic Control Charts Based On Median Run Length
by: Wong, Voon Hee
Published: (2012)

Control Charts With Estimated Process Parameters And A Proposed Coefficient Of Variation Chart
by: You , Huay Woon
Published: (2015)

An Improved Multivariate Short Run Control Chart Based On The CUSUM Statistic
by: Khoo, Michael B. C., et al.
Published: (2005)

Side Sensitive Group Runs Double Sampling Chart For Detecting Mean Shifts
by: Tan, Eng Keng
Published: (2020)

A Comparison Of The Performances Of Various Single Variable Charts.
by: A. Atta, Abdu. M., et al.
Published: (2009)

New Variable Parameters Chart Based On Auxiliary Information And Multivariate Charts For Short Production Runs
by: Chong, Nger Ling
Published: (2019)

New Variable Parameters Chart Based On Auxiliary Information And Multivariate Charts For Short Production Runs
by: Chong, Nger Ling
Published: (2019)

Development Of Robust Memory-Type Charts Under Repetitive Sampling And Triple Sampling Charts For The Gamma Process
by: Mahmood, Yasar
Published: (2024)

A Moving Average Control Chart For The Sample Mean Based On A Robust Estimator Of Scale
by: Jamel, Suffiah
Published: (2009)

Robust individuals control chart for shifts in process mean and variance
by: Ng, Kooi Huat, et al.
Published: (2010)

A Study On The Performances Of Mewma And Mcusum Charts For Skewed Distributions.
by: B., Michael C. Khoo, et al.
Published: (2009)

Development Of Variable Sampling Interval Run Sum T Chart And Triple Sampling X ̅ Chart With Estimated Process Parameters
by: Nahar Mim, Faijun
Published: (2022)

A study on the S2-EWMA chart for monitoring the process variance based on the MRL performance
by: Teh, Sin Yin, et al.
Published: (2015)

A proposed variable parameter control chart for monitoring the multivariate coefficient of variation
by: Chew, X. Y., et al.
Published: (2019)

EXACT RUN LENGTH DISTRIBUTION OF THE DOUBLE SAMPLING X CHART WITH ESTIMATED PROCESS PARAMETERS
by: Teoh, W. L., et al.
Published: (2016)

Development of fuzzy control charts for monitoring manufacturing process with uncertain and vague observations
by: Jahromi, Seyed Mojtaba Zabihinpour
Published: (2015)

SPC charting procedure for monitoring of small and large shifts in process mean
by: Masood, Ibrahim
Published: (2004)

A study on different control charts to monitor students’ academic performance
by: Ong, Jing Ying
Published: (2019)

The variable sampling interval exponentially weighted moving average (EWMA) Xbar chart with estimated process parameters
by: Ong, Lay Vern
Published: (2019)

An EWMA control chart for monitoring the mean of skewed populations using weighted variance
by: Khoo, Michael B. C., et al.
Published: (2008)

A study on the application of control chart in healthcare
by: Seoh, Yee Kam
Published: (2019)

Economic and economic-statistical designs of variable sample size and sampling interval coefficient of variation chart
by: Chew, Y. Y., et al.
Published: (2020)

An Improved Wavelet Neural Network For Classification And Function Approximation
by: Ong , Pauline
Published: (2011)

Use of neural network for modeling of liquid-liquid extraction process in the RDC column
by: Maan, Normah, et al.
Published: (2003)

Double Sampling Auxiliary Information Chart And Exponentially Weighted Moving Average Auxiliary Information Chart, Both Based On Variable Sampling Interval, And Measurement Errors Based Triple Sampling Chart
by: Umar, Adamu Abubakar
Published: (2022)

A neural network-based approach in predicting consumers' intentions of purchasing insurance policies
by: Chang, Wen Teng, et al.
Published: (2021)

Robust multivariate control charts to detect small shifts in mean.
by: Midi, Habshah, et al.
Published: (2011)