Title: A new control chart based on the loess smooth applied to information system quality performance

Authors: Zhi Tao; Fengkun Liu; Fanglin Shen; Michael Suh; David Booth

Addresses: Department of Management and Information Systems, Graduate School of Management, College of Business Administration, Kent State University, Kent, OH 44242, USA ' Department of Management and Information Systems, Graduate School of Management, College of Business Administration, Kent State University, Kent, OH 44242, USA ' Department of Finance, Graduate School of Management, College of Business Administration, Kent State University, Kent, OH 44242, USA ' Department of Management and Information Systems, Graduate School of Management, College of Business Administration, Kent State University, Kent, OH 44242, USA ' Department of Management and Information Systems, Graduate School of Management, College of Business Administration, Kent State University, Kent, OH 44242, USA

Abstract: Sometimes to measure the performance of an information system, unusually long response times of database operation need to be identified. Compared with Lloyd's (1995) statistical process control chart, we propose an outlier resistant robust locally weighted scatterplot smooth (loess) based control chart that identifies effectively all the out of control points of operation in Lloyd's (1995) data. Our findings provide guidance to management in information system quality control and more generally to all control chart users in cases where outliers occur in the charted data.

Keywords: loess smooth; locally weighted scatterplot smooth; statistical process control; SPC; outliers; information systems; control charts; operational research; quality control.

DOI: 10.1504/IJOR.2012.048293

International Journal of Operational Research, 2012 Vol.15 No.1, pp.74 - 93

Published online: 11 Jan 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article