Tertiary education of Rajamangala Phranakon University of Technology focuses on capital-based professional scientific and technological quality. Industrial Education Faculty is aware of the learning process to achieve the transfer of learning in the teaching industry. Learners to awareness the value in learning to fully develop their own development and to adjust to the pace of social and economic changes. From this text said. Need to conduct research on “competency based teacher education Act the full year 1999 demand of labor market” to find the necessary information and basic competency of teachers as technicians and labor market needs of the Act. Education change. The research found that respondents are male and 31.20 per cent of respondents are female 68.80 percent were aged between 20 to 35 years accounted for 92.40 percent of respondents state a year students. 70.70 per cent secondary graduates. a teacher / teacher is found that 26.4 percent of the level of demand for targeted education most needs at most – in the most. 1. Competency in the professional industry. Gradate student position in B.Sc. in industrial management system in the state teacher / teacher relationships in the work of human industry. 2. Competency in teaching. Knowledgeable. In management learning. (Same comments) about the skills. Ability to analyze and design media. In psychology for teachers. About the ability to understand the nature of nature of the study. In research. About the research process applied to learning. 3. Competency in practice. (A similar comment) in the development of potential learners in the professional satisfaction. Discuss who has the majority of respondents want to improve their educational development. The study focused on the professional personnel to be knowledgeable. More specific. Proposal to produce graduates with the development of competency. Management learning. For professional psychology. Human relationships in the work of research and competency using appropriate technology in the professional industry practices. Learning of teachers technicians industrial industries.

The research of the factors influencing people’s purchase of the book about sufficiency economy in Bangkok was aimed at studying 1) attitudes towards sufficiency economy 2) marketing factors and book purchasing behavior about sufficiency economy 3) sociological effects upon sufficient economy and 4) factors influencing people’s purchase of the book about sufficiency economy in Bangkok. The questionnaires were constructed as a tool for collecting data from 400 samples of the people in Bangkok who used to purchase the book about sufficiency economy. The results of hypotheses tests at the statistical significance of 0.05 showed that 1) awareness knowledge liking and preference in attitudes towards sufficiency economy had no influence upon a purchase of the book about sufficient economy 2) marketing factors including product price promotion and place had influence upon purchase of the book about sufficiency economy 3) sufficiency economy book purchasing behavior the number of the books about sufficiency economy had influence upon book purchasing behavior 4) morality and sufficiency aspect in sociological effects had influence on sufficiency economy book purchasing behaviors.

The problem of this research is automotive part companies do not have order because of the world economic crisis and effect to automotive industry. Automotive and automotive parts demand in the world decrease. Automotive Industry of Thailand received affect. Automotive part companies cannot export to foreign markets. The companies in Thailand need the forecasting of automotive part quantity demanded by foreign markets by selecting the most accurate model. This paper presents the modeling for forecasting demand for automotive part of foreign markets to Thailand with time series forecasting techniques. In this study the automotive part are wheels and including parts and accessories because Thailand exported the most in group of automotive parts. These five countries have consistently demanded the largest number of wheels and including parts and accessories are Japan China South Korea Germany and Indonesia. The research involves historical collecting data for the period of 1997 to 2008. The evaluation function of forecast error is used with MAPE. The results reveal that each country suits for each model in term of the chosen dimension. The government can use the forecasting demand for effective production planning by informing manufactures.

This research aimed to design and construct a forecasting support system on demand of fresh durian of Thailand by applying 2 mathematical models which were Time Series model and Artificial Neural Network model in order to find an accurate model of forecasting support system on demand of durian yield to forecast durian yield quantity of Thailand in advance and use the forecast results to plan and determine quantity of fresh durian and durian product conforming with domestic consumption and export in order not to be over demand and cheap durian sold price. The forecast models were applied with Time Series model by using Moving Average Weighted Moving Average Single Exponential Smoothing and Holt’s Linear Exponential Smoothing techniques and Back Propagation of Artificial Neural Network model which used 4 input variables relating to durian yield. All of the forecast models were used to forecast total durian yield quantity in 26 provinces of durian cultivated area all around Thailand. Durian yield quantity data used was from 1996 to 2008. After that the forecast results were used to find the errors of MAE MSE RMSE and MAPE. Then the errors of each forecast model were compared. The forecast model which had the least error was the most accurate forecast model. The research result is following. Back Propagation with 4-8-1 structure of Artificial Neural Network model had the least error so that it was the most accurate forecast model to forecast fresh durian yield quantity in advance.

The objective of this research is to design forecasting support models on demand of durian for domestic markets and export markets for durian gardeners durian entrepreneurs of domestic markets and export markets and the Office of Agricultural Economics to plan durian demand conforming with domestic markets and export markets because of Production and marketing main problems (The Agricultural Information Center The office of Agricultural Economics: 2008) such as over - much durian production during production capital increased farmers durian sold price tended to be lower and lower inefficient domestic market management and more export but cheaper price therefore after that to design forecasting for the purpose in order that durian would not be over demand which is containing factors of the demand of durian fresh durian frozen durian paste and durian chips for domestic markets and export markets exported to Asia America Australia and Africa. The research involves historical collection data in the period of 2002 to 2008. The basic of forecast models are the designed and improved models using an intelligent knowledge-based approach beginning Moving average Deseasonalized Exponential smoothing Double exponential smoothing and Artificial neural network (ANNs) program within the model of new value Creation and comparative accuracy models. The evaluation result of forecasting durian demand showed that lowest MAPE of Deseasonlized models at 3 month was durian fresh durian frozen and durian paste but durian chips showed that lowest MAPE of ANNs at 4 input 10 hidden layers and 1 output was high accurate forecasting and optimal models. The analysis recommendations and error forecast of durian demand are also presented.