CIRP Encyclopedia of Production Engineering

Living Edition
| Editors: The International Academy for Production Engineering, Sami Chatti, Tullio Tolio

Statistical Process Control

  • Marcello Colledani
Living reference work entry
DOI: https://doi.org/10.1007/978-3-642-35950-7_6573-3

Synonyms

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

  1. Alwan LC (2000) Statistical process analysis. Int edn. Irwin/McGraw-Hill, Boston/SingaporeGoogle Scholar
  2. Colledani M, Tolio T (2006) Impact of quality control on production systems performance. Ann CIRP 55(1):453–456CrossRefGoogle Scholar
  3. Colledani M, Tolio T (2011) Joint design of quality and production control in manufacturing systems. CIRP J Manuf Sci Technol 4(3):281–289CrossRefGoogle Scholar
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  8. Montgomery DC (2013) Introduction to statistical quality control, 7th edn. Wiley, HobokenzbMATHGoogle Scholar
  9. Woodall WH (2000) Controversies and contradictions in statistical process control. J Qual Technol 32(4):341–378CrossRefGoogle Scholar

Copyright information

© CIRP 2018

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringPolitecnico di MilanoMilanItaly

Section editors and affiliations

  • Günther Schuh
    • 1
  1. 1.Forschungsinstitut für Rationalisierung (FIR) e. VRWTH AachenAachenGermany