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.

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.

This research aims to study the demand of vocational and high vocational graduates with commercial major by the entrepreneurs under the Industrial Estate Authority of Thailand (IEAT) during 2008-2010. The samples are the 340 entrepreneurs under the IEAT. The data are collected by questionnaire during June-August 2007 and analyzed by frequency and percentage; and it is found that: (1) the entrepreneurs’ demand with high vocational certificates is 61.17% whereas the demand for graduates with vocational certificates is 38.83%. (2) The top 3 fields of studies in vocational education which are in high demand by the entrepreneurs are sale accounting and business computer. High vocational education which are in high demand by the entrepreneurs are marketing accounting and business computer.

This research aims to study the demand of the entrepreneurs under the Industrial Estate of Authority of Thailand (IEAT) on the competencies of those graduating in commercial major from vocational colleges and high vocational college. The sample are the 340 entrepreneurs under the IEAT. The tool is questionnaire the reliability are .89 and .92 for vocational and high vocational level respectively. The data are analyzed by mean and standard deviation statistics and it is found that: (1) The demand of the entrepreneurs on the competencies is at a high levels as overall and by level of education and demographic area and (2) The highest demand on the student’s competencies of the entrepreneurs is affective domain.

The purposes of this research were to study and survey the relationship between personal factor and supportive factor and the demand of entrepreneurs in home economics students from the Faculty of Home Economics Technology Rajamangala University of Technology Phra Nakorn. By giving questionnaires and quizzes to 180 of Home Economics students from the Faculty of Home Economics Technology Rajamangala University of Technology Phra Nakorn. The result were found that the demand for entrepreneur in home economics students is at a high level The personal factor consisted of gender major of study and work experiences during the study period was not significantly related to the demand of entrepreneurs in home economics students. The supportive factor consisted of attitudes towards entrepreneurs and the management of teaching and learning the correlation with the demand for entrepreneurs in home economics students at the 0.05 level. The knowledge about entrepreneurs was not significantly related to the demand of entrepreneurs in home economics students.