The objective of this research is to improve for material procurement decision support making process by using Lean Concept. The research methodology studied purchasing procurement and whole of production in local country of case study by making Value Streaming Mapping (VSM) calculated of production standard time set buffer time kept inventory and suitable supplier’s capacity. Finally used all data for design and develop computer program into support analyze and follow up delivery goods system to customer. Result of research found this new development program could increase delivery goods to customer efficiency by response with material preparation can improved average On Time Delivery rate at 94.55% and increased productivity from 966 to 1125 pcs/day; therefore case study had well increased local purchasing procurement efficiency reduced purchasing cost to 2.27 million Baht/month reduce Fuel cost at 46225.08 Baht/year on average and reduce greenhouse gas at 4.117 TonCo2e per year on average. They can support highly competitive and rapidly changing of electrical and electronics industrial to sustainable in the further.

This research aimed to establish the power transformer fault management system by applying Sustainable Industrial Management Engineering (SIME.) method. The research tools were electrical and chemical testing. As power transformer is usually huge when it is damaged the possible way to manage such damage is to send such power transformer to the manufacturer’s plant for repair which requires long period of time and high costs of repair. As a result the researcher therefore establish the power transformer fault management system as a tool for assessing damage to decide whether power transformer repair should be instead done at the power station or not in order to decrease the number of power transformer returned to the manufacturing plant for repair. This would eventually help reduce costs and time for repairing power transformer and allows faster period of reuse of power transformer concomitantly. According to the result it would found that the power transformer fault management system by applying Sustainable Industrial Management Engineering (SIME) method could be used as guidance for decision making to have power transformers repaired at the power station as much as possible. This could help reduce average time spent for repair by 84.44 percent with the cost reduction by 68.62 percent when comparing to returning power transformers to the manufacturing plant. This could also be applied in planning for power transformer maintenance prior to the occurrence of any damage to power transformers further.

This research aimed to determine the optimal sand mold mixture’s ratio by using return sand bentonite water content and new sand component. Then the properties of the mixture according to the standards of American Foundrymen’s Society include the ability of compactability moisture content permeability and green compressive strength. This study applied mixture experiments and response surface methodology to determine an optimal sand mold mixture components condition. After the experiment and linear programming it indicated that the condition was at return sand (95.5387 %) bentonite (1.130102 %) water content (2.331196 %) and new sand (1 %). The green sand mold has compactability (58.37923 %) permeability (73.80148 %) moisture 6.5 % and green compressive strength (0.53 Kg/cm2). At this condition the cost is 11.31579 baths per kilogram.

This research aimed to study the awareness of impacts on global warming that is relevant to Home Economics knowledge base of Home Economics students Suan Dusit Rajabhat University and compare their awareness of impacts on global warming relevant to the Home Economics knowledge base considering their gender and year of study. The sample was 254 undergraduate students from Home Economics of Suan Dusit Rajabhat University. The research tool was questionnaire. The study revealed that the majority of the sample had been aware of impacts on the global warming relevant to Home Economics knowledge base in a high level. Most of them agreed with the awareness point that students wore the clothes that were appropriate with climate; for example they chose to wear light and thin clothes to reduce workload of air conditioners the students chose food containers made from natural materials instead of Styrofoam containers to reduce waste that took long time to decompose and they planted trees at their residences to reduce home temperature respectively. Comparing the awareness categorized by gender and year of study it was found that the students of Suan Dusit Rajabhat University of different genders had different levels of awareness of the impacts on the global warming relevant to Home Economics knowledge base. The awareness of female students was higher than that of male students and as for year of study the students of Suan Dusit Rajabhat University had different levels of the awareness of the impacts on the global warming relevant to Home Economics knowledge base. The second year students had higher awareness than the first third and fourth year students.

The objectives of this research is to study (1) The factor of decision making in Bangkok high school students affected to study in bachelor of Mass Communication (English Program) (2) The factor that is correlated in decision making in Bangkok high school students affected to study in bachelor of Mass Communication (English Program). The sample population consisted of four hundreds high school students in Bangkok. The instrument of research was a questionnaire. The Statistical Package for the Social Sciences (SPSS) for Windows computer program was applied for analyzing formulating and tabulating the data collected. The techniques of descriptive statistics used were percentage mean and standard deviation. Techniques of inferential statistics utilized were t-test one-way analysis of variance (ANOVA) in order to analyze differences between variables taken as a group. If there is a statistically significant differences found between pairs in a group Scheff?’s pair testing were deployed. Multiple Regression Analysis were applied in order to analyze the factors of decision making in Bangkok high school students affected to study in bachelor of Mass Communication (English Program). If there is a statistically significant found in Multiple Regression Coefficient of Correlation under paired testing will be used to identify the correlation between factors. The results were as following: 1. The factors of student program in high school affected the decision making to study in bachelor of Mass Communication (English Program) were high school program. 2. The marketing factor of Mass Communication Technology affected to Bangkok high school students decision making to study in Bachelor of Mass Communication (English Program) is product price place promotion.