Statistical methods for management of process quality

A state-of-the-art review

Research output: Contribution to journalArticle

Abstract

Companies use the Malcolm Baldridge Award criteria to provide a formal guide for self assessment. In most of the seven categories, statistical techniques play important roles. A basic tenet of Total Quality Management is that company business practices should evolve and improve over time. This philosophy of continuous improvement also applies to the development and refinement of appropriate statistical methods. This paper reviews recent developments in statistical methods for Total Quality Management, with a focus on applications to Category 5 of the Baldridge Award criteria: Management of Process Quality.

Original languageEnglish (US)
Pages (from-to)167-183
Number of pages17
JournalInternational Journal of Reliability, Quality and Safety Engineering
Volume3
Issue number2
DOIs
StatePublished - Jan 1 1996

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Total quality management
Statistical methods
Industry

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Nuclear Energy and Engineering
  • Safety, Risk, Reliability and Quality
  • Aerospace Engineering
  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Cite this

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abstract = "Companies use the Malcolm Baldridge Award criteria to provide a formal guide for self assessment. In most of the seven categories, statistical techniques play important roles. A basic tenet of Total Quality Management is that company business practices should evolve and improve over time. This philosophy of continuous improvement also applies to the development and refinement of appropriate statistical methods. This paper reviews recent developments in statistical methods for Total Quality Management, with a focus on applications to Category 5 of the Baldridge Award criteria: Management of Process Quality.",
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