EWMA-type scheme for monitoring location parameter using auxiliary information

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

23 Scopus Citations
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Author(s)

  • Nurudeen A. Adegoke
  • Muhammad Riaz
  • Ridwan A. Sanusi
  • Adam N.H. Smith
  • Matthew D.M. Pawley

Detail(s)

Original languageEnglish
Pages (from-to)114-129
Journal / PublicationComputers and Industrial Engineering
Volume114
Online published14 Oct 2017
Publication statusPublished - Dec 2017

Abstract

Control charts are statistical methods used to detect shifts in the location parameter of a process that is monitored over time. Here, we propose an improvement to the performance of the classical exponentially weighted moving average (EWMA) control charts, by making use of auxiliary information that is correlated with the process variable. We present an EWMAP and its modifications: EWMA-type control charts based on a product estimator where the location parameter of the process is monitored using an auxiliary variable. The charts are developed using different sampling schemes: simple random sampling, ranked set sampling (RSS) and median ranked set sampling (MRSS), and we evaluate their performance using average run length, and other performance measures such as extra quadratic loss and relative average run length. It is observed that the proposed control charts are performing better than the classical EWMA control chart in monitoring shifts in the location parameter of a process, especially when a strong negative correlation exists between the process and the auxiliary variables. They are particularly efficient in detecting small to moderate shifts in the process.

Research Area(s)

  • Auxiliary variable, Location parameter, Ranked set sampling and median ranked set sampling, Simple random sampling

Citation Format(s)

EWMA-type scheme for monitoring location parameter using auxiliary information. / Adegoke, Nurudeen A.; Riaz, Muhammad; Sanusi, Ridwan A.; Smith, Adam N.H.; Pawley, Matthew D.M.

In: Computers and Industrial Engineering, Vol. 114, 12.2017, p. 114-129.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review