Measure OHS performance using statistical tools
Joint Authors
Bradji, Sabah
al-Jalluli, Fayiz
Source
Journal of Advanced Studies in Finance and Accounting Sciences
Issue
Vol. 5, Issue 2 (31 Dec. 2022), pp.64-88, 25 p.
Publisher
University larbi tebssi Faculty of Economic Sciences Commerce and Management Sciences
Publication Date
2023-12-31
Country of Publication
Algeria
No. of Pages
25
Main Subjects
Topics
Abstract EN
Now quality is being for all firms a new strategic which led to extremely installation of severe control methods; manufacturers are forwarded to increasingly strong and consequently very expensive constraints.
the systematic use of Gaussian distribution in random phenomena modeling has been largely contributed to this overflow and can be unsure whether the matter requirements of capability do not show the way to production capability means.
in the same way manufacture follow-up by control chart generates lose of time and are not justified (duration, frequency, control quality).
when certain conditions are met production monitoring can be brought back to a problem of systematic preventive maintenance.
our research is dealing with resolving matter of capability in the case of no normal distribution and to compare index of capability in both situation normal and no normal for control chart in production problem.
American Psychological Association (APA)
al-Jalluli, Fayiz& Bradji, Sabah. 2023. Measure OHS performance using statistical tools. Journal of Advanced Studies in Finance and Accounting Sciences،Vol. 5, no. 2, pp.64-88.
https://search.emarefa.net/detail/BIM-1511576
Modern Language Association (MLA)
al-Jalluli, Fayiz& Bradji, Sabah. Measure OHS performance using statistical tools. Journal of Advanced Studies in Finance and Accounting Sciences Vol. 5, no. 2 (Dec. 2022), pp.64-88.
https://search.emarefa.net/detail/BIM-1511576
American Medical Association (AMA)
al-Jalluli, Fayiz& Bradji, Sabah. Measure OHS performance using statistical tools. Journal of Advanced Studies in Finance and Accounting Sciences. 2023. Vol. 5, no. 2, pp.64-88.
https://search.emarefa.net/detail/BIM-1511576
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references: p. 86-88
Record ID
BIM-1511576