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CIRP Encyclopedia of Production Engineering pp 1607–1615Cite as

Statistical Process Control

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Synonyms

Statistical Process Control (SPC); Statistical Quality Control (SQC)

Definition

An analytical approach developed to continuously improve the quality of the output of manufacturing processes and systems.

Extended Definition

SPC helps in detecting, identifying, and eliminating unpredictable sources of variability in the process. Moreover, it helps monitoring the process by issuing signals whenever deviations from in-control conditions are detected. Statistical control charts are the basic tools to implement SPC in manufacturing processes.

SPC plays a key role in Six Sigma quality control implementations. It has been successfully applied both to continuous manufacturing (e.g., chemical processes) and to discrete part manufacturing (e.g., automotive, semiconductor, mechanical component production). Their applications have now moved far beyond manufacturing into engineering, environmental science, biology, genetics, epidemiology, medicine, and finance.

SPC only deals with the...

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References

  • Alwan LC (2000) Statistical process analysis. Int edn. Irwin/McGraw-Hill, Boston/Singapore

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  • Colledani M, Tolio T (2006) Impact of quality control on production systems performance. Ann CIRP 55(1):453–456

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy

    Marcello Colledani

Authors
  1. Marcello Colledani
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Corresponding author

Correspondence to Marcello Colledani .

Editor information

Editors and Affiliations

  1. National Engineering School of Monastir (ENIM), University of Monastir, Monastir, Tunisia

    Sami Chatti

  2. Mechanical Engineering, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada

    Luc Laperrière

  3. Institute for Machine Tools and Industrial Management (iwb), Technical University of Munich (TUM), Garching, Germany

    Gunther Reinhart

  4. ITIA Institute of Industrial Technologies and Automation, CNR National Research Council, Milan, Italy

    Tullio Tolio

Section Editor information

  1. Forschungsinstitut für Rationalisierung (FIR) e. V, RWTH Aachen, Aachen, Germany

    Günther Schuh

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Cite this entry

Colledani, M. (2019). Statistical Process Control. In: Chatti, S., Laperrière, L., Reinhart, G., Tolio, T. (eds) CIRP Encyclopedia of Production Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53120-4_6573

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