The objectives of this research were (1) To study the influence of the after sales service quality which consisted of the dimensions of tangible reliability responsiveness assurance and empathy on customer trust; (2) To study the influence of the aftersales service quality and customer trust on customer satisfaction; (3) To study the influence of customer trust and satisfaction on customer loyalty and (4) To validate the causal relationship model of the influence of aftersales service quality on trust customer satisfaction and customer loyalty of medical’s equipment business with empirical data. The variables in this investigation consisted of the following; aftersales service quality which consisted of the dimensions of (1) tangible; (2) reliability; (3) responsiveness ;(4) assurance and (5) empathy as the independent variable; customer trust and satisfaction as mediating variables and customer loyalty as dependent variable.

This research aims to study strategies required for developing educational game for preschool students and the development processes involved. The sampling groups used in this research included 3 content specialists whose responsibility is to verify the content of the games and 17 specialists on educational game. The sampling groups are selected particularly from the central region of Thailand. The research findings reveal the insights from the majority of specialists on development of educational games for preschool children as follow: games such as picture-matching domino object ordering object categorizing detail observing and number addition & subtraction games are popular for teaching. Moreover the principles for applying educational games with lessons should be incorporated in the development of game strategies. In addition the main objectives and the development process of games should focus primarily on their ability to draw attention from students as well as the fun of playing and allowing students to practice lessons and participate in class activities. The tools used for developing games are computers and devices created by teachers themselves. As for the future of educational game the trend is the more involvement of technology through the use of computer or mobile devices. Problems in game development include limited budget for purchasing hardware and devices. On top of that training on game development is much needed among teachers. The research results can be concluded with the following 5 strategies for preschool students: 1) enhance teachers’ knowledge and skills 2) study details of different kinds of games 3) develop games 4) determine time used for playing game 5) evaluate the process of game development in 4 areas including type of game devices used rules and playing instruction.

Presently the rail transit system plays a major role in the commercial world that they currently use diesel engine not only causing to a lot of fuel consumption but also generating numerously pollution. Therefore this project aims to study the break-even point of investment under comparison of brake specific fuel consumption and pollution of locomotive engines. By experimental works there are 3 types of locomotive engine: Pielstick M.T.U. and Caterpillar which are the difference of the combustion chamber and the fuel injection systems. The simulation load on the static tests (Dynamometer) was used following the regulation characteristic curve which is standard of State Railway of Thailand. As a result of testing the engine using common rail type of fuel injection system M.T.U. was the lowest brake specific fuel consumption at all of engine by the average of all engine speed 206 g/kW-h of brake specific fuel consumption. It is lower than Caterpillar (Semi common rail with direct injection) which is 314 g/kW-h equivalent 34.39 % while Pielstick engine a mechanism fuel injection system is 389 g/kW-h equivalent 47.04 % For pollution area there are Hydrocarbon (HC) Nitrogen Oxide (NOX) and black smut. The engine with direct injection system relieved the previous substance less than the pre-combustion engine. Moreover the compound of carbon monoxide (CO) was found that the pre-combustion engine (Pielstick) discharged carbon monoxide (CO) less than the direct injection engine (Caterpillar) whereas the common rail engine emancipated same substan cenear by with the pre-combustion engine (Pielstick). However the new technology of the engines is high maintenance costs. Therefore a number of applications have to be needed to make a quantitative value for the investment.

This paper discusses the mixed alloy silver pink by spending innocent Alloy capital ratio of 58.00% and check the analysis of color against Silver 925 under the metal content of about 58.40% alloy 41.60% result. According to the study the researchers used to hold above ingredients prototype to develop a mixture of silver to feature pink by analyzing the color (Color Analysis) tested the color of silver mixed pink capital ratio of 116.80 alloy. 83.20 wt.% has a shiny bright color space the L 67.17 a = 9.60 b = 2.04 a compound that can be used to produce silver mixed pink. In the manufacturing industry has for the user.

The 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.