Journal of Statistics Applications & Probability
Abstract
Manufacturing involves three stages: production, inspection and packaging. Production is performed, as follows: (i) Products of each component are inspected by sub-components working in parallel, and (ii) products inspected by each sub-component are packaged by a series of sub-sub-components. Control charts are beneficial for monitoring process statistics over time and detecting special causes which create variations that can be detected and verified. However, if the control chart indicates that the process has shifted, appropriate actions must be taken to regain control. Thus, a control chart indicates the right time or which observation corrective action should be taken. Utilizing of control charts designed for a normal distribution may be ineffective and increases the number of non-conforming products.
Digital Object Identifier (DOI)
http://dx.doi.org/10.18576/jsap/090102
Recommended Citation
Shaka Aunali, Amin; D., Venkatesan; and Gallo, Michele
(2020)
"Control Charts based on Exponentiated Mukherjee-Islam Distribution,"
Journal of Statistics Applications & Probability: Vol. 9:
Iss.
1, Article 2.
DOI: http://dx.doi.org/10.18576/jsap/090102
Available at:
https://digitalcommons.aaru.edu.jo/jsap/vol9/iss1/2