Determination of the control chart CUSUM-ln(S2)’s parameters: Using a computational tool to support statistical control

José Gomes Requeijo, Ricardo Costa Afonso, Ricardo Barros Cardoso, José Pedro Borrego

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The increasing attention devoted to the control of process variance has stimulated the development of a set of control charts, which includes the CUSUMln(S2) control chart that is considered one of the most effective tools to control the variance and consequently one of the most used whenever a SPC is implemented. However, a common problem which arises with the application of CUSUM-ln(S2) control charts is the limited set of tables of results for consultation. In general, only the most common situations are available. Therefore, these resources become ineffective when one need to cover other less common cases, but equally important and considered target of interest. On the other hand, there are not available the abacuses correspondent to the numerical tables. This paper intends to present a new approach (methodology), based on a computational tool (FCSCE), which provides us, not only with the abacuses, but also with the respective tables. This software tool, implemented inMATLAB environment, is a key instrument to deal with generic SPC case studies involving the CUSUM-ln(S2) control chart, responding effectively to the previously listed impairments.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Management Science and Engineering Management - Focused on Computing and Engineering Management
EditorsVirgílio António Cruz-Machado, Benjamin Lev, Jiuping Xu, Stefan Nickel
PublisherSpringer Verlag
Pages905-914
Number of pages10
ISBN (Electronic)978-3-642-55122-2
ISBN (Print)978-3-642-55121-5
DOIs
Publication statusPublished - 1 Jan 2014
Event8th International Conference on Management Science and Engineering Management, ICMSEM 2014 - Lisbon, Portugal
Duration: 25 Jul 201427 Jul 2014

Publication series

NameAdvances in Intelligent Systems and Computing
Volume281
ISSN (Print)2194-5357

Conference

Conference8th International Conference on Management Science and Engineering Management, ICMSEM 2014
CountryPortugal
CityLisbon
Period25/07/1427/07/14

Keywords

  • Abacuses
  • Computational tool to support statistical control (FCSCE)
  • Control chart CUSUM-ln(S)
  • Statistical process control (SPC)
  • Tables of results

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