2004•International Journal of Production ResearchRequires access

Weighted moving averages: an efficient plan for monitoring specific location shifts

Ross Sparks

Abstract

Exponentially weighted moving averages (EWMA) or Cumulative sum (CUSUM) monitoring plans are used in industry for early detection of deviations from target for process measurements. This paper illustrates the advantage of using weighted moving averages (WMA) in this regard, particular when the size of the shift is known in advance. WMA plans are compared to the conventional CUSUM and the EWMA procedures using a simulation study.

About this research paper

What this paper is about

Why it matters

OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: EWMA chart, CUSUM, Moving average, Process (computing), Statistics, Computer science, Control chart, Mathematics