จำนวน Repository ( 580 )

The study and development of actions designed to reduce the rate  Of production of odor house of wood charcoal community groups  were Sarapee aranyaprathet province sakaew
The study and development of actions designed to reduce the rate Of production of odor house of wood charcoal community groups were Sarapee aranyaprathet province sakaew

This research study and development of actions designed to reduce the rate of Production of odor House of wood charcoal Community groups Were Sarapee Aranyaprathet Province sakaewPrachantakham Prachinburi. Study materials are made of wood charcoal. And determine the appropriate form furnished house has many of the current medium. Products include standard tests to determine the standard of wood charcoal. in the structure of furniture design. The research study and development of actions designed to reduce the rate of Production of odor House of wood charcoal. vetiver from interviews with experts in the design. Conclusions regarding the manufacture and design of a study to determine specialists as appropriate. Researchers have taken a home furnishing is correct. Then residents of the residential-sized survey about home furnishing 30 who works as follows. Front of the house. The average was 4.6 most of the comforts average was 4.6 most security average is 4.75 most of the design value is 4.7 the overall satisfaction is at its greatest. The test standard furniture. The testing of materials furniture wood charcoal. Static force acting on the basis of a test ride. The static force exerted on the backrest. In the test criteria. The static pressure test on the arm to the side and the force acting on the wing surface at the head. In the test criteria. The static pressure test on the press arm. In the test criteria. Criteria to test the force exerted on the seat and the backrest against the switch. In the test criteria. Force acting on the basis of the test. In passing the test. The impact tests and shock at the surface of the bracket. In the test criteria. Criteria for testing for the one side then drop free In the test criteria.

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Influencing to make decision to buy green label product
Influencing to make decision to buy green label product

The objective of this study was to study about consumers’ knowledge to green label an opinion and an effect to buy green label product. The subjects of this study were choser from the people who care with environment and lived in Bangkok. The instruments were Questionnaire. The data collected was statistically analyzed by percentage mean T-test Independent One Way ANOVA Chi-Square Spearman Rank Order Correlation Coefficient and LSD (Fisher’s Least Significant Different) The findings of this study revealed that : 1. The populations were more female than male. The most populations were 16-25 and the second one were 26-35. The first education level was bachelor degree and the second one was diploma. For an occupation the first was office workers and the second was students. 2. Involving in using green label products. 2.1 Using green label products which solving pollution. (1) Using gasohol. (2) Using non-mercury dry cells and paint. (3) Using non-CFC spray. (4) Using non-CFC refrigerator. 2.2 Using pr oducts which were not destroy water and economy. (1) Using non-phosphate detergent. (2) Using economic sanitary ware. (3) Using economic tap. (4) Using non washing Clothes. 2.3 Using products which reduce rubbish. (1) Using solar disintegrate bags. (2) Using refill products. (3) Using recycle plastic. 2.4 Using reduce destroying forest. (1) Using recycle tissue or paper. (2) Using recycle packages. 2.5 Using non-toxic products. (1) Using Non-toxic plants. (2) Using herbal products. (3) Using bio-fertilizer. 2.6 Using eco-energy. (1) Using eco-light bulb. (2) Using eco-refrigerator. (3) Using eco-air conditioner. (4) Using eco-electric fan. (5) Using eco-electric no. 5. 3. The population’ opinion about green label products’ mean was good. 4. The acknowledging about green label products revealed that the information media hadn’t enough. The first media which gave data the most was TV . The second was internet and newspaper. They wanted the government to fight more. The data which was important was telling about qualification and usefulness of the products and presented more about the products. For the contributing in the project or informing to someone revealed that they kindly to join the project. The populations’ understanding in green label products was moderate. The reason to buy the products was to protect environment and believe in quality and good for health. They wanted the government to pass the environmental law. 5. Hypothesis 5.1 The different sex and age had non-different opinion. 5.2 The different education had different opinion. The Graduate degree population had more knowledge in green label products more than the lower degree. 5.3 The different career had different opinion. The civil servant and the state enterprise employee and more knowledge in green label products more than the others. 5.4 The different type of media had non-different opinion. 5.5 The different type of media had an effect to buy the products. 5.6 The green products’ knowledge hadn’t an effect to buy the products. 5.7 The green label products’ knowledge hadn’t relate to the type of media.

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การตรวจหาเครื่องจักรที่ผลิตสินค้าบกพร่องเพื่อวางแผนป้องกันและบำรุงรักษาโดยใช้ตัวแบบฮิดเดนมาร์คอฟ: กรณีศึกษาโรงงานผลิตเครื่องดื่ม
การตรวจหาเครื่องจักรที่ผลิตสินค้าบกพร่องเพื่อวางแผนป้องกันและบำรุงรักษาโดยใช้ตัวแบบฮิดเดนมาร์คอฟ: กรณีศึกษาโรงงานผลิตเครื่องดื่ม

This research proposes a hidden Markov model for detecting machines with multiple fillers producing soft drink for quality control in order to reduce defective products. The proposed model is compared with a classical generalized estimating equations model (GEE). The monthly data the number of defective products the correctness and the time spending in correction were collected from a machine in a sample factory in Pratumthanee province. The two hidden states of the fillers are workable and unworkable. The states has a logistic distribution. The results show that the correctness of the filler error occurrence does not improve the probability of being in a unworkable state neither the period of time spending on correction. The current state seems to be the same as the previous state

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พัฒนากังหันน้ำผลิตไฟฟ้าเพื่อการผลิตขาย
พัฒนากังหันน้ำผลิตไฟฟ้าเพื่อการผลิตขาย

Research this project invents for design and build the water turbine produce the electricity by set up the equipment produces the electric current from water energy flows from the nature which be new choice for Thailand in using energy pays back. then born the idea in energy water lead flows in the tide comes to use is born the advantage The water turbine has produced the electricity that does designing and establish to compose 3 part importance be the part of water buoy water turbine part is the pin wheel that is made of the iron each have a draught 90 centimeter group part carries round which compose the gearwheel yes carry round and a transmitting belt carry round . From pin wheel test produces the electric current that establishes to induce float in a river already record seek feeling numb fire efficiency reaches to open 12 DC good and use inverter to 220 v. AC

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การวิเคราะห์สาเหตุของการผลิตสินค้าบกพร่องและเสียด้วยตัวแบบการถดถอยโลจิสติกส์แบบเบย์: กรณีศึกษาโรงงานผลิตชิ้นส่วนรถยนต์
การวิเคราะห์สาเหตุของการผลิตสินค้าบกพร่องและเสียด้วยตัวแบบการถดถอยโลจิสติกส์แบบเบย์: กรณีศึกษาโรงงานผลิตชิ้นส่วนรถยนต์

This research proposes a Bayesian logistic regression model which is applied to the data from autoparts manufacturing machines. Factors related to defective and bad products are investigated. The proposed model is compared with the logistic regression using maximum likelihood method for parameter estimation. The data were collected from 132 machines in an autoparts manufacturing factory. The research found that useful life machine type 6 worker group 3 and 4 working step 1 and 2 influence to the risk of producing defective and bad products. When the useful life is increased by 1 month the risk of producing defective and bad products will be increased by 2.2%. The risk that the machine type 6 will produce defective and bad products is 4.078 times greater than the risk that the machine type will do. The risk that the worker group 3 will produce defective and bad products is 61.7% less than the risk that the worker group 12 will do. The risk that the worker group 4 will produce defective and bad products is 61.5% less than the risk that the worker group 12 will do. The risk that the working step 1 will produce defective and bad products is 2.831 times greater than the risk that the working step 4 will do. The risk that the working step 2 will produce defective and bad products is 13.8 % greater than the risk that the working step 4 will do. The parameter estimates from the Bayesian logistic regression are very close to the ones from the logistic regression using maximum likelihood method for parameter estimation

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