Fuzzy mean and range control charts for monitoring fuzzy quality characteristics: a case study in food industries using chicken nugget
Organizations must improve or at least maintain the quality of their products to be competitive in today's market. Thus, developing a new approach which could utilize more information from the production process has become an inevitable quality improvement program for each organization. In curr...
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| Format: | Conference or Workshop Item |
| Language: | English |
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IEEE
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/48078/1/Fuzzy%20mean%20and%20range%20control%20charts%20for%20monitoring%20fuzzy%20quality%20characteristics%20a%20case%20study%20in%20food%20industries%20using%20chicken%20nugget.pdf |
| _version_ | 1796974915215163392 |
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| author | Jahromi, Seyed Mojtaba Zabihinpour Mohd Ariffin, Mohd Khairol Anuar Tang, Sai Hong Ahmad, Siti Azfanizam Hassani, Omid Boyer |
| author_facet | Jahromi, Seyed Mojtaba Zabihinpour Mohd Ariffin, Mohd Khairol Anuar Tang, Sai Hong Ahmad, Siti Azfanizam Hassani, Omid Boyer |
| author_sort | Jahromi, Seyed Mojtaba Zabihinpour |
| collection | UPM |
| description | Organizations must improve or at least maintain the quality of their products to be competitive in today's market. Thus, developing a new approach which could utilize more information from the production process has become an inevitable quality improvement program for each organization. In current study, a fuzzy mean and range control charts were developed to monitor the production process. Fuzzy control charts could handle the uncertainty due to vagueness, ambiguity and/or incomplete information in addition to the inherent uncertainty due to randomness in quality characteristic measurements. The proposed fuzzy control charts were validated through a case study at the chicken nugget production company by collecting data from the factory floor and comparing it to the traditional Shewhart control charts which have been already applied by the factory for monitoring the process. The results reveal that the proposed fuzzy control charts could detect abnormal shifts in the production process more accurately than the traditional Shewhart control charts, as they had used more information from the process. The proposed approach has several benefits for the company by improving the quality and increasing the productivity. |
| first_indexed | 2024-03-06T09:03:58Z |
| format | Conference or Workshop Item |
| id | upm.eprints-48078 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:03:58Z |
| publishDate | 2014 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-480782016-08-03T07:54:46Z http://psasir.upm.edu.my/id/eprint/48078/ Fuzzy mean and range control charts for monitoring fuzzy quality characteristics: a case study in food industries using chicken nugget Jahromi, Seyed Mojtaba Zabihinpour Mohd Ariffin, Mohd Khairol Anuar Tang, Sai Hong Ahmad, Siti Azfanizam Hassani, Omid Boyer Organizations must improve or at least maintain the quality of their products to be competitive in today's market. Thus, developing a new approach which could utilize more information from the production process has become an inevitable quality improvement program for each organization. In current study, a fuzzy mean and range control charts were developed to monitor the production process. Fuzzy control charts could handle the uncertainty due to vagueness, ambiguity and/or incomplete information in addition to the inherent uncertainty due to randomness in quality characteristic measurements. The proposed fuzzy control charts were validated through a case study at the chicken nugget production company by collecting data from the factory floor and comparing it to the traditional Shewhart control charts which have been already applied by the factory for monitoring the process. The results reveal that the proposed fuzzy control charts could detect abnormal shifts in the production process more accurately than the traditional Shewhart control charts, as they had used more information from the process. The proposed approach has several benefits for the company by improving the quality and increasing the productivity. IEEE 2014 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/48078/1/Fuzzy%20mean%20and%20range%20control%20charts%20for%20monitoring%20fuzzy%20quality%20characteristics%20a%20case%20study%20in%20food%20industries%20using%20chicken%20nugget.pdf Jahromi, Seyed Mojtaba Zabihinpour and Mohd Ariffin, Mohd Khairol Anuar and Tang, Sai Hong and Ahmad, Siti Azfanizam and Hassani, Omid Boyer (2014) Fuzzy mean and range control charts for monitoring fuzzy quality characteristics: a case study in food industries using chicken nugget. In: 2014 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2014), 9-12 Dec. 2014, Bandar Sunway, Selangor. (pp. 759-763). 10.1109/IEEM.2014.7058740 |
| spellingShingle | Jahromi, Seyed Mojtaba Zabihinpour Mohd Ariffin, Mohd Khairol Anuar Tang, Sai Hong Ahmad, Siti Azfanizam Hassani, Omid Boyer Fuzzy mean and range control charts for monitoring fuzzy quality characteristics: a case study in food industries using chicken nugget |
| title | Fuzzy mean and range control charts for monitoring fuzzy quality characteristics: a case study in food industries using chicken nugget |
| title_full | Fuzzy mean and range control charts for monitoring fuzzy quality characteristics: a case study in food industries using chicken nugget |
| title_fullStr | Fuzzy mean and range control charts for monitoring fuzzy quality characteristics: a case study in food industries using chicken nugget |
| title_full_unstemmed | Fuzzy mean and range control charts for monitoring fuzzy quality characteristics: a case study in food industries using chicken nugget |
| title_short | Fuzzy mean and range control charts for monitoring fuzzy quality characteristics: a case study in food industries using chicken nugget |
| title_sort | fuzzy mean and range control charts for monitoring fuzzy quality characteristics a case study in food industries using chicken nugget |
| url | http://psasir.upm.edu.my/id/eprint/48078/1/Fuzzy%20mean%20and%20range%20control%20charts%20for%20monitoring%20fuzzy%20quality%20characteristics%20a%20case%20study%20in%20food%20industries%20using%20chicken%20nugget.pdf |
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