Fuzzy Quality Evaluation and Analysis Model for Improving the Quality of Unleaded Gasoline to Reduce Air Pollution
It is important to estimate the sample data when inspecting the quality of products. Therefore, sampling error and uncertainty in the measurement are inevitable, which may lead to misjudgment in product performance evaluation. Since the important quality characteristics of gasoline belong to one-sid...
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| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/15/2789 |
| _version_ | 1797413049294913536 |
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| author | Chun-Ming Yang Tsun-Hung Huang Kuen-Suan Chen Chi-Han Chen Shiyao Li |
| author_facet | Chun-Ming Yang Tsun-Hung Huang Kuen-Suan Chen Chi-Han Chen Shiyao Li |
| author_sort | Chun-Ming Yang |
| collection | DOAJ |
| description | It is important to estimate the sample data when inspecting the quality of products. Therefore, sampling error and uncertainty in the measurement are inevitable, which may lead to misjudgment in product performance evaluation. Since the important quality characteristics of gasoline belong to one-sided specifications, a one-sided specification capability index was proposed to evaluate whether the process capabilities of various quality characteristics of gasoline reach the required quality levels. The 100(1−<i>α</i>)% upper confidence limits of the index were obtained to ensure low producer’s risk and reduce sampling errors. To deal with fuzzy data and limited sample sizes, a fuzzy testing model based on the 100(1−<i>α</i>)% upper confidence limits of the index was developed. A practice example of 95 unleaded gasoline was used to illustrate the effectiveness and usefulness of the proposed method. The result shows that two quality characteristics—Reid vapor pressure and oxygen content—of the nine quality characteristics of the 95 unleaded gasoline should be considered for improvements. This study provided an evaluation procedure to facilitate quality managers to take the opportunity to improve product quality, promoting the improvement of air quality, and the sustainability of industrial processes or products. |
| first_indexed | 2024-03-09T05:11:55Z |
| format | Article |
| id | doaj.art-5cb1605146bc464dbfe5ddac283eec16 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T05:11:55Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-5cb1605146bc464dbfe5ddac283eec162023-12-03T12:48:38ZengMDPI AGMathematics2227-73902022-08-011015278910.3390/math10152789Fuzzy Quality Evaluation and Analysis Model for Improving the Quality of Unleaded Gasoline to Reduce Air PollutionChun-Ming Yang0Tsun-Hung Huang1Kuen-Suan Chen2Chi-Han Chen3Shiyao Li4School of Economics and Management, Dongguan University of Technology, Dongguan 523808, ChinaDepartment of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 411030, TaiwanDepartment of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 411030, TaiwanDepartment of Industrial Education and Technology, National Changhua University of Education, Changhua 500207, TaiwanSchool of Economics and Management, Dongguan University of Technology, Dongguan 523808, ChinaIt is important to estimate the sample data when inspecting the quality of products. Therefore, sampling error and uncertainty in the measurement are inevitable, which may lead to misjudgment in product performance evaluation. Since the important quality characteristics of gasoline belong to one-sided specifications, a one-sided specification capability index was proposed to evaluate whether the process capabilities of various quality characteristics of gasoline reach the required quality levels. The 100(1−<i>α</i>)% upper confidence limits of the index were obtained to ensure low producer’s risk and reduce sampling errors. To deal with fuzzy data and limited sample sizes, a fuzzy testing model based on the 100(1−<i>α</i>)% upper confidence limits of the index was developed. A practice example of 95 unleaded gasoline was used to illustrate the effectiveness and usefulness of the proposed method. The result shows that two quality characteristics—Reid vapor pressure and oxygen content—of the nine quality characteristics of the 95 unleaded gasoline should be considered for improvements. This study provided an evaluation procedure to facilitate quality managers to take the opportunity to improve product quality, promoting the improvement of air quality, and the sustainability of industrial processes or products.https://www.mdpi.com/2227-7390/10/15/2789product qualityunleaded gasolineconfidence intervalfuzzy evaluation modelair pollution |
| spellingShingle | Chun-Ming Yang Tsun-Hung Huang Kuen-Suan Chen Chi-Han Chen Shiyao Li Fuzzy Quality Evaluation and Analysis Model for Improving the Quality of Unleaded Gasoline to Reduce Air Pollution Mathematics product quality unleaded gasoline confidence interval fuzzy evaluation model air pollution |
| title | Fuzzy Quality Evaluation and Analysis Model for Improving the Quality of Unleaded Gasoline to Reduce Air Pollution |
| title_full | Fuzzy Quality Evaluation and Analysis Model for Improving the Quality of Unleaded Gasoline to Reduce Air Pollution |
| title_fullStr | Fuzzy Quality Evaluation and Analysis Model for Improving the Quality of Unleaded Gasoline to Reduce Air Pollution |
| title_full_unstemmed | Fuzzy Quality Evaluation and Analysis Model for Improving the Quality of Unleaded Gasoline to Reduce Air Pollution |
| title_short | Fuzzy Quality Evaluation and Analysis Model for Improving the Quality of Unleaded Gasoline to Reduce Air Pollution |
| title_sort | fuzzy quality evaluation and analysis model for improving the quality of unleaded gasoline to reduce air pollution |
| topic | product quality unleaded gasoline confidence interval fuzzy evaluation model air pollution |
| url | https://www.mdpi.com/2227-7390/10/15/2789 |
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