Acceptance sampling plan for multiple manufacturing lines using EWMA process capability index
The problem of developing a product acceptance determination procedure for multiple characteristics has attracted the quality assurance practitioners. Due to sufficient demands of consumers, it may not be possible to deliver the quantity ordered on time using the process based on one manufacturing l...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Japan Society of Mechanical Engineers
2017-01-01
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| Series: | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/jamdsm/11/1/11_2017jamdsm0004/_pdf/-char/en |
| _version_ | 1811225643396890624 |
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| author | Osama H. ARIF. Muhammad ASLAM Chi-Hyuck JUN |
| author_facet | Osama H. ARIF. Muhammad ASLAM Chi-Hyuck JUN |
| author_sort | Osama H. ARIF. |
| collection | DOAJ |
| description | The problem of developing a product acceptance determination procedure for multiple characteristics has attracted the quality assurance practitioners. Due to sufficient demands of consumers, it may not be possible to deliver the quantity ordered on time using the process based on one manufacturing line. So, in factories, product is manufactured using multiple manufacturing lines and combine it. In this manuscript, we present the designing of an acceptance sampling plan for products from multiple independent manufacturing lines using exponentially weighted moving average (EWMA) statistic of the process capability index. The plan parameters such as the sample size and the acceptance number will be determined by satisfying both the producer's and the consumer's risks. The efficiency of the proposed plan will be discussed over the existing sampling plan. The tables are given for industrial use and explained with the help of industrial examples. We conclude that the use of the proposed plan in these industries minimizes the cost and time of inspection. Smaller the sample size means low inspection cost. The proposed plan for some non-normal distributions can be extended as a future research. The determination of sampling plan using cost model is also interested area for the future research. |
| first_indexed | 2024-04-12T09:10:48Z |
| format | Article |
| id | doaj.art-c65e018f173140a1a68889454bd02a9a |
| institution | Directory Open Access Journal |
| issn | 1881-3054 |
| language | English |
| last_indexed | 2024-04-12T09:10:48Z |
| publishDate | 2017-01-01 |
| publisher | The Japan Society of Mechanical Engineers |
| record_format | Article |
| series | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| spelling | doaj.art-c65e018f173140a1a68889454bd02a9a2022-12-22T03:38:58ZengThe Japan Society of Mechanical EngineersJournal of Advanced Mechanical Design, Systems, and Manufacturing1881-30542017-01-01111JAMDSM0004JAMDSM000410.1299/jamdsm.2017jamdsm0004jamdsmAcceptance sampling plan for multiple manufacturing lines using EWMA process capability indexOsama H. ARIF.0Muhammad ASLAM1Chi-Hyuck JUN2Department of Statistics, Faculty of Science, King Abdulaziz UniversityDepartment of Statistics, Faculty of Science, King Abdulaziz UniversityDepartment of Industrial and Management EngineeringThe problem of developing a product acceptance determination procedure for multiple characteristics has attracted the quality assurance practitioners. Due to sufficient demands of consumers, it may not be possible to deliver the quantity ordered on time using the process based on one manufacturing line. So, in factories, product is manufactured using multiple manufacturing lines and combine it. In this manuscript, we present the designing of an acceptance sampling plan for products from multiple independent manufacturing lines using exponentially weighted moving average (EWMA) statistic of the process capability index. The plan parameters such as the sample size and the acceptance number will be determined by satisfying both the producer's and the consumer's risks. The efficiency of the proposed plan will be discussed over the existing sampling plan. The tables are given for industrial use and explained with the help of industrial examples. We conclude that the use of the proposed plan in these industries minimizes the cost and time of inspection. Smaller the sample size means low inspection cost. The proposed plan for some non-normal distributions can be extended as a future research. The determination of sampling plan using cost model is also interested area for the future research.https://www.jstage.jst.go.jp/article/jamdsm/11/1/11_2017jamdsm0004/_pdf/-char/ensampling plancritical acceptance numberproducer's risknormal distributionconsumer's risk |
| spellingShingle | Osama H. ARIF. Muhammad ASLAM Chi-Hyuck JUN Acceptance sampling plan for multiple manufacturing lines using EWMA process capability index Journal of Advanced Mechanical Design, Systems, and Manufacturing sampling plan critical acceptance number producer's risk normal distribution consumer's risk |
| title | Acceptance sampling plan for multiple manufacturing lines using EWMA process capability index |
| title_full | Acceptance sampling plan for multiple manufacturing lines using EWMA process capability index |
| title_fullStr | Acceptance sampling plan for multiple manufacturing lines using EWMA process capability index |
| title_full_unstemmed | Acceptance sampling plan for multiple manufacturing lines using EWMA process capability index |
| title_short | Acceptance sampling plan for multiple manufacturing lines using EWMA process capability index |
| title_sort | acceptance sampling plan for multiple manufacturing lines using ewma process capability index |
| topic | sampling plan critical acceptance number producer's risk normal distribution consumer's risk |
| url | https://www.jstage.jst.go.jp/article/jamdsm/11/1/11_2017jamdsm0004/_pdf/-char/en |
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