انجمن سیستم های فازی ایران سیستم های فازی و کاربردها 2717-4409 4 2 2022 02 20 Application of trapezoidal fuzzy quality in the automobile manufacturing industry کاربرد کیفیت فازی ذوزنقه ای در صنعت خودروسازی 21 42 146077 10.22034/jfsa.2022.310751.1095 FA حمیده ایرانمنش ﮔﺮوه آﻣﺎر، داﻧﺸﮑﺪه ﻋﻠﻮم رﯾﺎﺿﯽ، داﻧﺸﮕﺎه ﻓﺮدوﺳﯽ ﻣﺸﻬﺪ، ﻣﺸﻬﺪ، اﯾﺮان 0000-0002-2178-8461 عباس پرچمی ﮔﺮوه آﻣﺎر، داﻧﺸﮑﺪه رﯾﺎﺿﯽ و راﯾﺎﻧﻪ، داﻧﺸﮕﺎه ﺷﻬﯿﺪ ﺑﺎﻫﻨﺮ ﮐﺮﻣﺎن، ﮐﺮﻣﺎن، اﯾﺮان 0000-0002-0593-7324 مهدی جباری نوقابی ﮔﺮوه آﻣﺎر، داﻧﺸﮑﺪه ﻋﻠﻮم رﯾﺎﺿﯽ، داﻧﺸﮕﺎه ﻓﺮدوﺳﯽ ﻣﺸﻬﺪ، ﻣﺸﻬﺪ، اﯾﺮان 0000-0002-5636-2209 Journal Article 2021 10 17 Hypotheses testing is an effective technique for decision making on the manufacturing process capability. Considering fuzzy quality rather than precise specification limits, we can make more reliable decisions for investigating the manufacturing process capability. In this paper, an applied study on the basis of fuzzy quality using the Yongting’s index is presented. The proposed approach which is used in this applied study is a technique for testing the capability of a normal process in producing products within the preset fuzzy specification limits. The adversity to test process capability indices is complexity in the distribution of its natural estimator, even under the Normal distribution. Also, there is the challenge in testing process capability based on fuzzy quality. The non-parametric approach which is used to test the performance of a product based on fuzzy quality and random sampling techniques which is presented based on the Monte Carlo simulation method and can be generalized for various fuzzy qualities. This study is presented to investigate the quality of paint thickness in the automobile polishing process based on trapezoidal fuzzy quality. The numerical computations are presented to show the performance of the Monte Carlo simulation method for making reliable decisions in testing the Yongting’s index. آزﻣﻮن ﻓﺮﺿﯿﻪ آﻣﺎری ﯾﮏ روش ﻣﻮﺛﺮ ﺑﺮای ﺗﺼﻤﯿﻢﮔﯿﺮی در ﻣﻮرد ﮐﺎراﯾﯽ ﯾﮏ ﻓﺮاﯾﻨﺪ ﺗﻮﻟﯿﺪی ﻣﯽﺑﺎﺷﺪ. ﺑﺎ در ﻧﻈﺮ ﮔﺮﻓﺘﻦ ﮐﯿﻔﯿﺖ ﻓﺎزی ﺑﻪ ﺟﺎی ﺣﺪود ﻣﺸﺨﺼﺎت ﻓﻨﯽ دﻗﯿﻖ، ﻣﯽﺗﻮاﻧﯿﻢ ﺗﺼﻤﯿﻤﺎت ﻣﻄﻤﺌﻦﺗﺮی ﺑﺮای ﺑﺮرﺳﯽ ﺗﻮاﻧﺎﯾﯽ ﮐﺎراﯾﯽ ﻓﺮاﯾﻨﺪﻫﺎی ﺗﻮﻟﯿﺪی ﺑﮕﯿﺮﯾﻢ. در اﯾﻦ ﻣﻘﺎﻟﻪ ﯾﮏ ﻣﻄﺎﻟﻌﻪ ﮐﺎرﺑﺮدی ﺑﺮ اﺳﺎس ﮐﯿﻔﯿﺖ ﻓﺎزی ﺑﺎ اﺳﺘﻔﺎده از ﺷﺎﺧﺺ ﯾﺎﻧﮕﺘﯿﻨﮓ اراﺋﻪ ﺷﺪه اﺳﺖ. روﯾﮑﺮد ﭘﯿﺸﻨﻬﺎدی ﺑﻪ ﮐﺎر ﺑﺮدهﺷﺪه در اﯾﻦ ﻣﻄﺎﻟﻌﮥ ﮐﺎرﺑﺮدی، ﯾﮏ ﺗﮑﻨﯿﮏ ﺑﺮای آزﻣﻮدن ﺗﻮاﻧﺎﯾﯽ ﯾﮏ ﻓﺮاﯾﻨﺪ ﻧﺮﻣﺎل در ﺗﻮﻟﯿﺪ ﻣﺤﺼﻮﻻت در ﺣﺪود ﻣﺸﺨﺼﺎت ﻓﺎزی از ﭘﯿﺶﺗﻌﯿﯿﻦﺷﺪه ﻣﯽﺑﺎﺷﺪ. ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ ﭘﯿﭽﯿﺪﮔﯽ ﻓﺮﻣﻮلﻫﺎی ﺷﺎﺧﺺﻫﺎی ﮐﺎراﯾﯽ ﺣﺘﯽ ﺗﺤﺖ ﺷﺮاﯾﻂ ﻧﺮﻣﺎل ﺑﻮدن دادهﻫﺎ، ﻣﻤﮑﻦ اﺳﺖ ﺑﺎ ﭼﺎﻟﺶ ﻋﺪم ﺗﻮاﻧﺎﯾﯽ ﭘﯿﺪا ﮐﺮدن ﺗﻮزﯾﻊ آﻣﺎری ﺑﺮآوردﮔﺮ ﮐﺎراﯾﯽ ﻓﺮاﯾﻨﺪ روﺑﺮو ﺷﻮﯾﻢ. ﻫﻤﭽﻨﯿﻦ اﯾﻦ ﭼﺎﻟﺶ ﻧﯿﺰ ﺑﺮای آزﻣﻮن ﮐﺎراﯾﯽ ﻓﺮاﯾﻨﺪ ﺑﺮ اﺳﺎس ﮐﯿﻔﯿﺖ ﻓﺎزی دﯾﺪه ﻣﯽﺷﻮد. https://jfsa.fuzzy.ir/article_146077_2ed67ae59bb1fc81da3b05f78960c0c5.pdf