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A review of non-standard applications of statistical process control (SPC) charts

  • The University of Nottingham

Research output: Contribution to journalReview articlepeer-review

92 Citations (Scopus)

Abstract

The principal application domain for statistical process control (SPC) charts has been for process control and improvement in manufacturing businesses. However, the number of applications reported in domains outside of conventional production systems has been increasing in recent years. Implementing SPC chart approaches in non-standard applications gives rise to many potential complications and poses a number of challenges. This paper reviews non-standard applications of SPC charts reported in the literature from the period 1989 to 2000, inclusive. Non-standard applications are analysed with respect to application domain, data sources used and control chart techniques employed. Applications are classified into five groups according to the types of problem to which control chart techniques have been applied. For each group the nature of the applications is described and analysed. The review does not show a paradigm shift in the types of SPC control chart applications but does show clearly that the application boundaries extend considerably beyond manufacturing and that the range of problems to which SPC control chart techniques can be applied is much wider than commonly assumed. The paper highlights the critical fundamental and technical issues that need to be addressed when applying SPC chart techniques in a range of non-standard applications. Wider managerial issues of importance for successful implementations in non-standard applications of SPC control charts are also discussed.

Original languageEnglish
Pages (from-to)295-320
Number of pages26
JournalInternational Journal of Quality and Reliability Management
Volume19
Issue number3
DOIs
Publication statusPublished - 2002
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Innovation
  • Service industries
  • Statistical process control

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