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Research ArticleTechnology/Application

Effect of Resolution of Measurements in the Behavior of Exponentially Weighted Moving Average Control Charts

Nora Meneces, Silvino A. Olivera, Carlos D. Saccone and Julio Tessore
PDA Journal of Pharmaceutical Science and Technology May 2013, 67 (3) 288-295; DOI: https://doi.org/10.5731/pdajpst.2013.00921
Nora Meneces
University of the Republic of Uruguay, 1Retired Professor, School of Engineering, Industrial Production Department; and
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Silvino A. Olivera
2School of Chemistry, Estrella Campos Department; Montevideo, Uruguay
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  • For correspondence: solivera@fq.edu.uy
Carlos D. Saccone
University of the Republic of Uruguay, 1Retired Professor, School of Engineering, Industrial Production Department; and
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Julio Tessore
University of the Republic of Uruguay, 1Retired Professor, School of Engineering, Industrial Production Department; and
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Abstract

Process behavior is known through measurement. All measurements are discrete and transform a continuous process distribution into a discrete (multinomial) measurement distribution. In this article, properties of exponentially weighted moving average control charts (EWMA charts) of measurements are studied through Monte Carlo simulations. Detection capabilities (average run length curves) are presented as a function of measurement resolution and recommendations for proper design of a measuring system are given. EWMA charts measurement resolution requirements are compared to Shewhart charts, and two examples are presented to illustrate behavior differences.

LAY ABSTRACT: Industry performs quality control activities in order to control raw materials, processes, and finished products with the purpose of delivering products to market complying with quality requirements. Different statistical methods are used in chemical, physical, and biological analysis and nearly all control methods will use measurement devices. Quality control is mandatory for many industries, for example, the pharmaceutical industry, and it is a very costly activity. The selection of suitable methods of control and appropriate measurement devices acquire special relevance for obtaining efficient results. Measurement devices require a certain measurement capability and must be fit for the purpose of controlling the quality of processes and products. The equipment capability includes, among other elements, the resolution, which means the “smallest change in a quantity being measured that causes a perceptible change in the corresponding indication”. Different control charts have been extensively used for statistical process control. Based on cases from the pharmaceutical industry and simulation tools, this paper studies the influence of resolution of measurement devices in exponentially weighted moving average control charts (EWMA charts). In addition, a comparison of EWMA charts and traditional Shewhart charts is presented in order to offer support to the practitioners.

  • Exponentially weighted moving average control chart
  • EWMA
  • Process control
  • Resolution
  • Rounding
  • Discrimination
  • Average run length
  • Control charts
  • Simulation
  • © PDA, Inc. 2013
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PDA Journal of Pharmaceutical Science and Technology: 67 (3)
PDA Journal of Pharmaceutical Science and Technology
Vol. 67, Issue 3
May/June 2013
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Effect of Resolution of Measurements in the Behavior of Exponentially Weighted Moving Average Control Charts
Nora Meneces, Silvino A. Olivera, Carlos D. Saccone, Julio Tessore
PDA Journal of Pharmaceutical Science and Technology May 2013, 67 (3) 288-295; DOI: 10.5731/pdajpst.2013.00921
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Keywords

  • Exponentially weighted moving average control chart
  • EWMA
  • Process control
  • Resolution
  • Rounding
  • Discrimination
  • Average run length
  • Control charts
  • Simulation

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Effect of Resolution of Measurements in the Behavior of Exponentially Weighted Moving Average Control Charts
Nora Meneces, Silvino A. Olivera, Carlos D. Saccone, Julio Tessore
PDA Journal of Pharmaceutical Science and Technology May 2013, 67 (3) 288-295; DOI: 10.5731/pdajpst.2013.00921

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