Complex Control Chart Interpretation | Zendy

Darja Noskievičová | Zendy

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Complex Control Chart Interpretation

Author(s) -

Darja Noskievičová

Publication year - 2013

Publication title -

international journal of engineering business management

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.352

H-Index - 22

ISSN - 1847-9790

DOI - 10.5772/56441

Subject(s) - control chart , statistical process control , identification (biology) , process (computing) , computer science , data mining , set (abstract data type) , interpretation (philosophy) , control (management) , shewhart individuals control chart , chart , operations research , engineering , artificial intelligence , statistics , mathematics , ewma chart , botany , biology , programming language , operating system

Identification of the assignable causes of processvariability and the restriction and elimination of theirinfluence are the main goals of statistical process control(SPC). Identification of these causes is associated with socalled tests for special causes or runs tests. From the timeof the formulation of the first set of such rules (WesternElectric rules) several different sets have been created (Nelson rules, Boeing AQS rules, Trietsch rules). This paper deals with the comparison analysis of these sets of rules, their basic statistical properties and the mistakes accompanying their application using SW support. At the end of this paper some recommendations for the correct application of the runs tests are formulated

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