The study of Research and Development of Model for Building Strong Community on Marketing of Samutsongkram Community Enterprises. It was aimed to investigate factors affecting effectiveness of running this enterprise for further improvement and to figure out possible path for enhance productivity of small community enterprises. The subject of this study consisted producers Community Enterprises entrepreneurs who participating seminar in improving management and product designs. The participants included 149 community enterprises group 200 participants in total. The result stated that 1) Producing management ranked high level while each aspect yielded different results. Finance and accounting ranked the highest producing and cooperatingranked respectively lower. The administrative was estimated as following; 2) Considering factors affecting effectiveness of Community on Marketing of Samutsongkram Community Enterprises ranked the high level in overall. Looking at each aspect budgets and learning improvement ranked the highest while participants ‘knowledge and gathering budgets and resources ranked the lowest. 3) Factors influencing effectiveness of community enterprise included planning controlling cooperating marketing producing administrating accounting organization managing affected the overall efficiency of Samutsongkram Community Enterprises predicted at 97.60%. 4) Focus group analysis was done by SWOT Analysis presented strength weakness opportunity and threat of community enterprise planning from preparation implementation and application as following;Preparation step: Arranging seminar in designing and product design. Having financial support field trip for figuring out uniqueness of Samutsongkram Community Enterprises Implementation step: Supporting distribution channels enhancing production by increase machine capacity setting up standard guarantee center and encouraging new group of small and minor community enterprise Application step: Promoting products of Samutsongkram Community Enterprises by different channels of advertisement improving brand of the group and also information technology to support Samutsongkram Community Enterprises.

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.

The objectives of this research are to study the production to find the proper ratio to test the physical mechanical properties and thermal conductivity to suggest the implementation and to transfer the technology of light-weight precast concrete wall panel products mixed with container foam wastes. Design the ratios of Portland cement type1: coarse sand: lime stone: water equal to 1: 2: 4: 0.7 by weight and adding the container foam wastes equal to 0 0.025 0.050 0.075 and 0.1 by weight. Casting the light-weight precast concrete wall panel products by pouring the concrete into the mold which installed the steels. Test the properties follow TIS.2226-2548 and TIS.878-2537. From the results the proper ratio of adding container foam wastes was 0.075 by weight which had perfect general characteristic 16.48 MPa of compressive strength no bending when installed in common behavior 8.86% of water absorption passed type1 of hardness test passed type 2 of impact test 2014.54 kg/m3 of density 4.30 MPa of bending strength and 0.228 watt/m.K of thermal insulation. This light-weight precast concrete wall panel product can use as the thermal insulation wall in building. Moreover the developing product can apply to register the petty patent.

This research aims to predict the thickness loss of parabolic forming by using hydromechanical deep drawing (HMD) process. The methodology used is the finite element method on the uncertainty of the mechanical properties for 1 mm thickness SPCC sheet metals. The properties consisted of three aspects: strength coefficient (K) strain hardening exponent (n-value) and plastic strain ratio for all three axis (r0 r45 and r90). Multiple simulations were completed by randomly selecting K n r0 r45 and r90 values following the distribution obtained from the uniaxial tensile test. The results would be analyzed by using the regression equation to create the equation to predict the thickness loss of the test pieces obtained from the formation process using the K n r0 r45 and r90 variables without the use of finite element method. This would results in a decrease in the simulation time. Based on 30 experiments of uniaxial tensile test it shows that the sheet metal properties are normally distributed. After that 60 cases of the five variables were randomly selected to simulate the formation by using the finite element method. Finally the results obtained from the aforementioned simulation is analyzed and generated into a regression equation. From the comparison between the value predicted from the regression equation and the result obtained from the formation process it can be seen that the regression equation can effectively predict the thickness loss when the five variables are under the same distribution properties. However the efficiency will decrease when the values of the five variables are beyond the distribution properties obtained from the experiment. In addition the uncertainty of mechanical properties of sheet metal in the simulation displays the chances of discovering test pieces with over 40% thickness loss. The simulation resulted in 5 damaged test pieces accounting for 8.33% of the total process.