Road map to the statistical process control

José Gomes Requeijo, Rogério Puga-Leal, Ana Sofia Matos

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

Abstract

Since 1920s, when Walter Shewhart first introduced the foundations for control charts, that several developments regarding new implementations of the statistical process control (SPC) have been presented in order to suit different situations that can be found in several processes. It is noted, among others, the Short Run SPC, data non-normality, the presence of auto-correlation in process data, detection of small and moderate shifts in process parameters and the simultaneous control of various quality characteristics. This great diversity of situations is crucial for academic researchers and quality managers in making decisions regarding the choice of the best technique to implement the statistical processes control. For answering this diversity of situations in production systems, this paper presents a road map that allows the decision maker choosing the best technique for implementation. Various techniques are shown, such as the traditional Shewhart control charts, cumulative sums (CUSUM) charts, exponential weighted moving average (EWMA) charts, dimensionless Z/W and Q charts, residuals/forecast errors charts to processes with a significant autocorrelation and multivariate control charts.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Management Science and Engineering Management - Focused on Computing and Engineering Management
PublisherSpringer-Verlag
Pages949-957
Number of pages9
Volume281
ISBN (Electronic)9783642551215
DOIs
Publication statusPublished - 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)21945357

Conference

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

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Keywords

  • Auto-correlation
  • Process capability
  • Short runs
  • Statistical process control (SPC)

Cite this

Requeijo, J. G., Puga-Leal, R., & Matos, A. S. (2014). Road map to the statistical process control. In Proceedings of the 8th International Conference on Management Science and Engineering Management - Focused on Computing and Engineering Management (Vol. 281, pp. 949-957). (Advances in Intelligent Systems and Computing; Vol. 281). Springer-Verlag. https://doi.org/10.1007/978-3-642-55122-2_82