New Shewhart-type synthetic $$\bar{X}$$ X ¯ control schemes for non-normal data

Autor: Jean-Claude Malela-Majika, Marien Alet Graham
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Journal of Industrial Engineering International, Vol 15, Iss 3, Pp 449-478 (2019)
Druh dokumentu: article
ISSN: 1735-5702
2251-712X
DOI: 10.1007/s40092-019-0304-z
Popis: Abstract In this paper, Burr-type XII $$\bar{X}$$ X ¯ synthetic schemes are proposed as an alternative to the classical $$\bar{X}$$ X ¯ synthetic schemes when the assumption of normality fails to hold. First, the basic design of the Burr-type XII $$\bar{X}$$ X ¯ synthetic scheme is developed and its performance investigated using exact formulae. Secondly, the non-side-sensitive and side-sensitive Burr-type XII $$\bar{X}$$ X ¯ synthetic schemes are introduced and their zero-state and steady-state performances, in terms of the average run-length and expected extra quadratic loss values, are investigated using a Markov chain approach. Thirdly, the proposed schemes are compared to the existing classical runs-rules and synthetic $$\bar{X}$$ X ¯ schemes. It is observed that the proposed schemes have very interesting properties and outperform the competing schemes in many cases under symmetric and skewed underlying process distributions. Finally, an illustrative real-life example is given to demonstrate the design and implementation of the proposed Burr-type XII $$\bar{X}$$ X ¯ synthetic schemes.
Databáze: Directory of Open Access Journals
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