This research aims for 1) study reassess marketing plan that related to industrial analysis factors of local wisdom in Thai SMEs herbal cosmetics in elderly market 2) study reassess marketing plan that related to factors of strategic planning in Thai SMEs local- wisdom herbal cosmetics in elderly market 3) analyzed reassess marketing plan that effect to factors of marketing analysis and Thai SMEs local- wisdom herbal cosmetics in elderly market. Samples were drawn from population within Bangkok calculated followed Taro Yamane (1967) steps with results of 402 samplings out of 10014705 elderly population data gathering using survey technique. The research tools are questionnaires; data collected and analyzed using SPSS the results are in frequency percentage mean standard deviation distribution and perform analyzing by SPSS using MANOVA method. The results are: Independence variables that effect to dependence variables are the relationship of industrial analysis has related to competitive analysis in high range industrial analysis has related to strategic planning in high range industrial analysis has related to reassess marketing plan in high range competitive analysis has related to company analysis in very low range company analysis has related to reassess marketing plan in low range company analysis has related to strategic plan in low moderate range and company analysis has related to reassess marketing plan in low range.

This research aims for 1) study SMEs Thai local wisdom herbal cosmetics consumer in elderly market that related to Thai local wisdom herbal cosmetics market 2) study SMEs Thai local wisdom herbal cosmetics competitors in elderly market that related to Thai herbal cosmetics market 3) analyzed elderly consumers and competitors in SMEs Thai local wisdom herbal cosmetics that related to SME Thai herbal cosmetics product. Samples were drawn from population within Bangkok calculated followed Taro Yamane (1967) steps with results of 402 samplings out of 10014705 elderly population data gathering using survey technique. The research tools are questionnaires; data collected and analyzed using SPSS the results are in frequency percentage mean standard deviation distribution and perform analyzing by Canonical correlation. The results are: 1) Thai herbal cosmetics customers in elderly market have related to SME Thai local wisdom herbal cosmetics in high range 2) SME Thai herbal cosmetics competitors in elderly market has related to SME Thai herbal cosmetics customer in moderate level 3) The relationship between elderly customer and its competitor have related SME Thai herbal cosmetics in moderate level.

The objectives of this research are to develop the structure to create the knowledge of construction technology to test the properties to construction the prototype building and to transfer the technology of hemisphere pre-engineered building with easy assembly steel structure type. The load and resistance factor design (LRFD) method was used to design the structure by regarding the strength material type construction and deconstruction step and cost. From the design the prototype of hemisphere pre-engineered building (only the frame structure) was construction with 5 meters of diameter 3.5 meters of height 19.635 square meters of useful space 200000 Baht of material cost (10186 Baht per square meter for all materials) 27 hours or 3 days of construction period. According to the modular coordination system this hemisphere pre-engineered building cans construction and deconstruction fast especially when apply to help disaster victims. After tested the structure that the calculation value of safety factor (S.F.) is 1.76. Moreover these results can register the copyright and draft the research paper to transfer the technology for target group.

This research aims to produce scrap page kaolin of brick construction. The kaolin clay ratio of 100: 0 80:20 60:40 50:50 40:60 20:80 and 0: 100 by volume Add mixed with rice husk and rice 15 percent by weight A total of seven ratios. According to standard tests or TIS. 77-2545 ordinary story brick building. The moisture content and water absorption is increasing. While density Thermal conductivity resistance flexural and compressive strength tends to decrease. The best ratio of 80:20 by volume with compressive strength 43.16 kg / cm 2 and 24.93 percent water absorption. Criteria standard of TIS. 77-2545 requiring compressive strength not less than 35 kg / cm2 and water absorption must not be higher than 25 percent. Can be used in the manufacture of brick construction including building decorative wall can be developed into products. Because skin color and beautiful

The objectives of this research are to propose a linear mixed model (LMM) for spatial time series with a seasonal component to apply the proposed model to monthly rubber yields in southern provinces of Thailand to forecast rubber yields in southern provinces of Thailand and to compare the performance of the proposed model to the Holt-Winters Additive Exponential smoothing model (Holt-Winters ES) and the seasonal autoregressive integrated moving average model (SARIMA). The proposed model is a linear mixed model (LMM) with spatial effects following a conditional autoregressive model (CAR model). Seasonal dummy variables and Fourier terms are two methods used to account for the seasonal effects. A Bayesian method is used for parameter estimation. The estimated monthly yields are used to forecast the monthly rubber yields. The dependent variables are the monthly rubber yields in each province. The effects considered are spatial effects heterogeneity effects and seasonal effects. The data are secondary data at a provincial level. The results show that the effects influencing on the amount of rubber yields are spatial heterogeneity and seasonal effects. The proposed model with sesonal dummy variables is the most appropriate model copared to the LMM with Fourier sesonal effects Holt-Withers ES and SARIMA. The mean absolute errors (MAE) are smallest in both model fitting and model validating parts. The proposed model with sesaonal dummy variables should be the first consideration for forecasting spatial time series with a seasonal component.