The research is to study the success factors in small and medium-sized enterprises in Nakhon Pathom. There are 2 points in objective: 1) to study characteristic of operation characteristic of entrepreneur characteristic of doing business and the success in an operation of small and medium-sized entrepreneurs. 2) to study the operation factor influencing the success of small and medium-sized enterprises. The sample size is 400 small and medium-sized entrepreneurs in Nakhon Pathom. In this research there are 3 independent variables including financial and accounting management production management and marketing mix. While dependent variable in the research is the success in doing business. Furthermore basic statistics and pearson correlation were applied in order to analyse all data. The results of this research are indicated that financial and accounting management have relation with the success at a significance level of 0.01. However when considering in each point of financial and accounting management it find out that financial planning is the factor that is more influential than accounting record at a significance level of 0.01. Meanwhile production management has relation with the success at a significance level of 0.01. Whereas it appears that the standardization is an influencing factor rather than quality and cost reduction respectively at a significance level of 0.01. In terms of marketing mix it presents that marketing mix also has relation with the success at significance level of 0.01. And when examining in each point of marketing mix product is more influential than promotion price and place at significance level of 0.01.

The purposes of this survey research were to study (1) personal factors (2) student’s breakfast consumption behavior (3) the relationship between student’s personal factors and breakfast consumption behavior (4) ) relationship between knowledge of breakfast consumption to breakfast consumption behavior of student’s who were studying at College of Hotel and Tourism Rajamangala University of Technology Srivijaya Trang campus.Sample group was undergraduate Students studying in the 1st semester 2015 academic Year total 250 persons instrument were questionnaires. Percentage Mean Standard Deviation and Chi Square were used in data analysis. Research result found that Students had medium knowledge of breakfast consumption. Students breakfast consumption behavior was medium. When each question was examined fair medium and good were found. Students personal factors which are sex age year of study person who student stayed with had no relationship with students breakfast consumption behavior. Students knowledge of breakfast consumption had positive relationship with students breakfast consumption behavior at statistically difference of .05 significance.

The objective of this research is to reduce waste in the production ceramics of Dadear Ceramics Factory in Lampang Province. The 7 quality control tools (7 QC Tools) were implemented including Check sheet Graph Pareto diagram and Fishbone diagram were used in analyze problem and solve the problems. It was found that most of the wastes come from burning ceramics process. The kilns and wheelbarrow has been used for a long time furthermore the equipment and parts were damaged from lack of maintenance. The non-standard of product arrangement method into the furnace were the cause of waste. Thus the researcher were improve wheelbarrow into the kilns and design a fixture to help worker to product arrangement. The results of the research which geathering data from quality inspection department. Then comparing data before the improvement (between September to December 2013) and after the improvement (between November 2014 to February 2015) the wastes are reduced from 8.97% to 0.29%. The result of improving is very efficiency because it can reduce the wastes to 8.68%.

This research aims to study the factors that influence the decision to study a Bachelor of Fashion Technology. Faculty of Home Economics Technology Rajamangala University of Technology Phra Nakhon Consisting of eight sides The expectations of the future. Curriculum and teaching activities in the environment and to the reputation and image quality. The features and benefits. Media and Public Relations The need to develop their own The family and the people around me. The population is Student Technology Management Fashion Floors 1-4 of the academic year 2557 73 people used the questionnaire prepared an assessment of the five levels. The results showed that Factors that influence the decision to study undergraduate Economics Faculty at the statistical level of significance. 01 are three factors in descending order of the factors affecting the descending. 1) the individual family and peers. 2) Media Relations and 3) the quality reputation and image of the three factors could explain the variability of the Faculty of Economics of Technology has 78.30 percent.

The objectives of this research to investigate 1) the level of elderly acceptance of technology and support. 2) Individual factors influence the elderly learning. The quantitative approach was applied by using questionnaire in data collection. Data was collected from 320 elderly people. Descriptive and inference statistics were used: percentage mean standard deviation Pearson correlation and multiply regression analysis. The findings indicates that there is the highest level of elderly acceptance of technology and support. The elderly people also use the Internet mainly to communicate with others followed by watching movies and listening to music. The most important technology support for the elderly is the Internet and computer use in a public place such as library hospital and elderly center with an expert encouragement. Provide knowledge and skills for the elderly using technology is the second most important technology support. Factors influencing the elderly learning in technology media are as follows: 1) Individual factors: the level of education occupation current salary and computer experience. This factor can explain the influence is 24.6 percent. 2) The elderly acceptance of technology 3) Technological support for the elderly. These two factors can explain the influence is 39.7 percent.