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Joint X- and S2 Control Charts Optimal Design Using Genetic Algorithm
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-12
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A simple and flexible model for economic statistical design of joint X- and S2 control charts was proposed.
The design problem was approached by constrained fuzzy multiobjective modeling for three objectives: joint power, joint Type I error, and joint total control cost.
Fuzzy membership functions were created to measure the satisfaction levels of the objectives, and the overall satisfaction level of the design was calculated using a weighted-average method.
A genetic algorithm was designed to solve this model.
The strength of this model lies in its effectiveness in detecting the assignable causes through the joint design and in its simplicity and flexibility in dealing with uncertainties in the design.
American Psychological Association (APA)
Ramadan, Saleem Z.. 2018. Joint X- and S2 Control Charts Optimal Design Using Genetic Algorithm. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1208458
Modern Language Association (MLA)
Ramadan, Saleem Z.. Joint X- and S2 Control Charts Optimal Design Using Genetic Algorithm. Mathematical Problems in Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1208458
American Medical Association (AMA)
Ramadan, Saleem Z.. Joint X- and S2 Control Charts Optimal Design Using Genetic Algorithm. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1208458
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208458