Currently the automotive industry plays an important role on the economic growth in Thailand. As the same time the waste of automotive parts has increased as well. As a results the automotive parts made from three different natural fiber parts was studied consisting of hyacinths sugarcane and pineapple leaf fiber. By of 50 x 250 x 20 mm of mold dimension the specimens were produced under 700 W of heating stick and measured temperature by a K type of thermometer. There were 3 same proportion specimens made from: 1) sugar cane fiber: husk: latex adhesive 2) water hyacinth fiber: husk: latex adhesive 3) pineapple fiber: husk: latex adhesive in the ratio of 25:25:50 by weight which were formed under temperature between 100GC and 105°C at 5 MPa of pressure and leading to find out the bending moment ability. The test results show that the specimen made from sugar cane fiber has the highest value 5482.5 Nand 4061.11 N/mm2 of bending moment and bending stress respectively. It was more than specimen made of water hyacinth 29.84 % and pineapple fiber 65.01 %.

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.