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Designing a Repetitive Group Sampling Plan for Weibull Distributed Processes
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-18
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Acceptance sampling plans are useful tools to determine whether the submitted lots should be accepted or rejected.
An efficient and economic sampling plan is very desirable for the high quality levels required by the production processes.
The process capability index C L is an important quality parameter to measure the product quality.
Utilizing the relationship between the C L index and the nonconforming rate, a repetitive group sampling (RGS) plan based on C L index is developed in this paper when the quality characteristic follows the Weibull distribution.
The optimal plan parameters of the proposed RGS plan are determined by satisfying the commonly used producer’s risk and consumer’s risk at the same time by minimizing the average sample number (ASN) and then tabulated for different combinations of acceptance quality level (AQL) and limiting quality level (LQL).
The results show that the proposed plan has better performance than the single sampling plan in terms of ASN.
Finally, the proposed RGS plan is illustrated with an industrial example.
American Psychological Association (APA)
Yan, Aijun& Liu, Sanyang. 2016. Designing a Repetitive Group Sampling Plan for Weibull Distributed Processes. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112368
Modern Language Association (MLA)
Yan, Aijun& Liu, Sanyang. Designing a Repetitive Group Sampling Plan for Weibull Distributed Processes. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1112368
American Medical Association (AMA)
Yan, Aijun& Liu, Sanyang. Designing a Repetitive Group Sampling Plan for Weibull Distributed Processes. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112368
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112368