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dc.contributor.authorTongkhow, Pitsanuen_US
dc.contributor.authorSammatat, Suneeen_US
dc.contributor.authorพิษณุ ทองขาวen_US
dc.contributor.authorสุนีย์ สัมมาทัตen_US
dc.date.accessioned2016-09-28T08:26:30Z
dc.date.available2016-09-28T08:26:30Z
dc.date.issued2016-09-28
dc.identifier.urihttp://repository.rmutp.ac.th/handle/123456789/2075
dc.descriptionรายงานวิจัย -- มหาวิทยาลัยเทคโนโลยีราชมงคลพระนคร, 2558en_US
dc.description.abstractThe objectives of this research are to propose a proper model for defective products in an autoparts manufacturing industry, to apply the proposed model to the defective products data, to investigate the factors related to the machines producing defective products, and to compare the proposed model with the generalized estimating equations model (GEE). The proposed model is a generalized linear mixed model (GLMM) in which the dependent variables have a Poisson distribution. The parameter are estimated using a Bayesian method. The data were collected from 12 machines, 15 days for each machine, from an autoparts manufacturing factory. The data collection dates vary depending on the working steps and the product types. The results show that the proposed model fits the data. The factors related to the machines producing defective products are working steps, workers, and product types. According to the estimates of the factors effects, the working step producing the largest number of defective products is the working step 2 followed by the working steps 3, 1 and 4, respectively. The worker producing the largest of defective products is the worker 4, followed by the workers 10, 5, 8, 6, 2, 3, 1, 7 and 9, respectively. The product type 3 has the largest number of defective products, followed by the product types 2 and 1, respectively. If the population-averaged effects are focused, the GEE is applied. However, the subject-specific is focused, the GLMM is applied.en_US
dc.description.sponsorshipRajamangala University of Technology Phra Nakhonen_US
dc.language.isothen_US
dc.subjectcar Industryen_US
dc.subjectอุตสาหกรรมรถยนต์en_US
dc.subjectAuto parts industryen_US
dc.subjectอุตสาหกรรมชิ้นส่วนรถยนต์en_US
dc.subjectGeneralized linear mixed model (GLMM)en_US
dc.subjectตัวแบบผสมเชิงเส้นวางนัยทั่วไป (GLMM)en_US
dc.subjectBayesian estimationen_US
dc.subjectการประมาณค่าแบบเบย์en_US
dc.titleAn Analysis of Defective Products in Auto Parts Factories with Generalized Linear Mixed Modelsen_US
dc.title.alternativeการวิเคราะห์สินค้าบกพร่องในโรงงานผลิตชิ้นส่วนรถยนต์โดยใช้ ตัวแบบผสมเชิงเส้นวางนัยทั่วไปen_US
dc.typeResearch Reporten_US
dc.contributor.emailauthorarit@rmutp.ac.then_US


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