An improved control chart for monitoring linear profiles and its application in thermal conductivity

Muhammad Riaz; Usman Saeed; Tahir Mahmood; Nasir Abbas; Saddam Akber Abbasi

doi:10.1109/ACCESS.2020.3006449

An improved control chart for monitoring linear profiles and its application in thermal conductivity

Muhammad Riaz, Usman Saeed, Tahir Mahmood, Nasir Abbas, Saddam Akber Abbasi

Research output: Contribution to journal › Article › peer-review

Abstract

In most of the manufacturing processes, we encounter different quality characteristics of a product and process. These characteristics can be categorized into two kinds; study variables (variable of interest) and the supporting/explanatory variables. Sometime, a linear relationship might exist between the study and supporting variable, which is called simple linear profiles. This study focuses on the simple linear profiles under assorted control charting approach to detect the large, moderate and small disturbances in the process parameters. The evaluation of the proposed assorted method is assessed by using numerous performance measures, for instance, average run length, relative average run length, extra and sequential extra quadratic losses. A comparative analysis of the proposal is also carried out with some existing linear profile methods including Shewhart_3, Hotelling’s T ², EWMA_3, EWMA/R and CUSUM_3 charts. Finally, a real-life application of the proposed assorted chart is presented to monitor thermal management of diamond-copper composite.

Original language	English
Pages (from-to)	120679-120693
Number of pages	15
Journal	IEEE Access
Volume	8
DOIs	https://doi.org/10.1109/ACCESS.2020.3006449
Publication status	Published - 1 Jul 2020

Keywords

control chart
cumulative sum
exponentially weighted moving average chart
Shewhart
thermal conductivity monitoring

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10.1109/ACCESS.2020.3006449Licence: CC BY 4.0

Cite this

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title = "An improved control chart for monitoring linear profiles and its application in thermal conductivity",

abstract = "In most of the manufacturing processes, we encounter different quality characteristics of a product and process. These characteristics can be categorized into two kinds; study variables (variable of interest) and the supporting/explanatory variables. Sometime, a linear relationship might exist between the study and supporting variable, which is called simple linear profiles. This study focuses on the simple linear profiles under assorted control charting approach to detect the large, moderate and small disturbances in the process parameters. The evaluation of the proposed assorted method is assessed by using numerous performance measures, for instance, average run length, relative average run length, extra and sequential extra quadratic losses. A comparative analysis of the proposal is also carried out with some existing linear profile methods including Shewhart_3, Hotelling{\textquoteright}s T 2, EWMA_3, EWMA/R and CUSUM_3 charts. Finally, a real-life application of the proposed assorted chart is presented to monitor thermal management of diamond-copper composite.",

keywords = "control chart, cumulative sum, exponentially weighted moving average chart, Shewhart, thermal conductivity monitoring",

author = "Muhammad Riaz and Usman Saeed and Tahir Mahmood and Nasir Abbas and Abbasi, {Saddam Akber}",

year = "2020",

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doi = "10.1109/ACCESS.2020.3006449",

language = "English",

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journal = "IEEE Access",

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TY - JOUR

T1 - An improved control chart for monitoring linear profiles and its application in thermal conductivity

AU - Riaz, Muhammad

AU - Saeed, Usman

AU - Mahmood, Tahir

AU - Abbas, Nasir

AU - Abbasi, Saddam Akber

PY - 2020/7/1

Y1 - 2020/7/1

N2 - In most of the manufacturing processes, we encounter different quality characteristics of a product and process. These characteristics can be categorized into two kinds; study variables (variable of interest) and the supporting/explanatory variables. Sometime, a linear relationship might exist between the study and supporting variable, which is called simple linear profiles. This study focuses on the simple linear profiles under assorted control charting approach to detect the large, moderate and small disturbances in the process parameters. The evaluation of the proposed assorted method is assessed by using numerous performance measures, for instance, average run length, relative average run length, extra and sequential extra quadratic losses. A comparative analysis of the proposal is also carried out with some existing linear profile methods including Shewhart_3, Hotelling’s T 2, EWMA_3, EWMA/R and CUSUM_3 charts. Finally, a real-life application of the proposed assorted chart is presented to monitor thermal management of diamond-copper composite.

AB - In most of the manufacturing processes, we encounter different quality characteristics of a product and process. These characteristics can be categorized into two kinds; study variables (variable of interest) and the supporting/explanatory variables. Sometime, a linear relationship might exist between the study and supporting variable, which is called simple linear profiles. This study focuses on the simple linear profiles under assorted control charting approach to detect the large, moderate and small disturbances in the process parameters. The evaluation of the proposed assorted method is assessed by using numerous performance measures, for instance, average run length, relative average run length, extra and sequential extra quadratic losses. A comparative analysis of the proposal is also carried out with some existing linear profile methods including Shewhart_3, Hotelling’s T 2, EWMA_3, EWMA/R and CUSUM_3 charts. Finally, a real-life application of the proposed assorted chart is presented to monitor thermal management of diamond-copper composite.

KW - control chart

KW - cumulative sum

KW - exponentially weighted moving average chart

KW - Shewhart

KW - thermal conductivity monitoring

U2 - 10.1109/ACCESS.2020.3006449

DO - 10.1109/ACCESS.2020.3006449

M3 - Article

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VL - 8

SP - 120679

EP - 120693

JO - IEEE Access

JF - IEEE Access

ER -

An improved control chart for monitoring linear profiles and its application in thermal conductivity

Abstract

Keywords

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