The purposes of the research were to create and efficiency validation of computer assisted for the courses of practiced disassembly and assembly fuel injection pump type VE based standard 90 / 90 and analyse the leaning achievement of the student after by using computer assisted instruction. The subjects in the study were 16 first year diploma students enrolled in Mechanical Power Rajamangala University of Technology Phra Nakhon North Bangkok Campus. The Researcher using the experiment by let the students do until test before class And then study by using computer assisted instruction focused on practiced practiced disassembly and assembly fuel injection pump type in-line. After that let students do the unit test again at the class and calculate to find out the efficiency of the computer assisted instruction and analyse the leaning achievement of students after study. The research result revealed that the efficiency of the computer assisted Instruction was efficient in standard 90/90. Moreover after learning achievement at significant level of 0.01

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 study the factors of resource and investment affecting to the number of post graduate students of Rajamangala University of Technology Phra Nakorn. The samples of this research are to survey the group of lecturers from 9 faculties by answering the questionnaires.