A regression spline control chart for monitoring characteristics exhibiting nonlinear profile over time
ISSN: 1754-2731
Article publication date: 10 April 2019
Issue publication date: 24 April 2019
Abstract
Purpose
The purpose of this paper is to demonstrate the application of the control chart procedure to monitor the characteristics whose profile over time resembles a set of connected line segments.
Design/methodology/approach
Fit a regression spline model by taking the subgroup average of the characteristic as response variable and time as the explanatory variable. Then monitor the response variable using the regression spline control chart with the fitted model as center line and upper and lower control limits at three standard deviation units of the response variable above and below the center line.
Findings
The proposed chart is successfully deployed to monitor the daily response time profile of a client server of an application support process. The chart ensured the stability of the process as well as detected the assignable cause leading to the slowing down of the server performance.
Practical implications
The methodology can be used to monitor any characteristics whose performance profile over time resembles a set of connected line segments. Some of the examples are the consumption profile of utility providers like power distribution companies, usage profiles of telecom networks, loading profile of airline check-in process, e-commerce websites, etc.
Originality/value
To the best of the author’s knowledge, construction of control charts using regression spline is new. The usage of the control chart to monitor the performance characteristics which exhibits a nonlinear profile over time is also rare.
Keywords
Acknowledgements
The authors sincerely thank the editor and reviewers for their valuable suggestions to enhance the quality of the paper. The reviewer has even helped the authors to identify a future research area of this field.
Citation
John, B. and Agarwal, V. (2019), "A regression spline control chart for monitoring characteristics exhibiting nonlinear profile over time", The TQM Journal, Vol. 31 No. 3, pp. 507-522. https://doi.org/10.1108/TQM-08-2018-0105
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited