The objective of research was to study and analysis the Electric vehicle structure of Rajamangala University of Technology Phra Nakhon. The Electric vehicle designed to save energy protect environment and cognitive development of student by used the computer software help in the design Material selection Finite Element Analysis Appropriability of the Electric Vehicle Structure and di s p l a c e m e n t of the vehicle structure by using the computer program help in the calculation for the Finite Element Method including to the development of engineering skill. The research must to create the Electric vehicle prototype to suitable and the structure have lightweight and strong for the electric vehicle and focuses on energy efficiency and the material of structure used steel pipe. This research can use to other working structure and future vehicle in sustainable. The vehicle has two seats Capable of running speed to 0-80 km/h the weight at the vehicle structure not over 1 0 0 kg. And the material of structure used steel pipe. This researching can use to other working structure and future vehicle in the sustainable.

Freight is major source of income of the State Railway of Thailand (SRT); which had revenues of one billion baht a year. The development of freight by rail system to be fart punctual and safe is important. Knuckle pin serves tension and shear stress in pulling Rolling Stock. Strength testing of Knuckle pin must be done by technical and engineering knowledge. SRT has 6000 Rolling Stocks; that means 6000 Knuckle Pin has been used and it is likely to increase due to the construction of the Double Track Project and the purchase of new Rolling Stocks. The efficient Knuckle Pin prolongs lifespan and SRT would have benefit on saving cost of maintenance and increase safety in the transportation of goods. This research is aimed at creating the understanding about the quality of the Knuckle Pin modeled Nat Mall. The pin would be test by Standard Test Methods for Tension Testing of Metallic Materialsand the Standard Test Method for Analysis of Carbon and Low-Alloy Steel by Spark Atomic Emission Spectrometry and Hardness Testing Machine and Microstructureto determine the cause of pin’s damage. This study will contribute the standardization of the quality of the Knuckle Pin which is used in Rolling Stocks of SRT.

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 proposes reliability analysis in order to find the probability that a machine will work properly the failure rates of a machine and the factors related to the failure rates. The data were collected from 8 types of machines in an autoparts manufacturing factory. They consist of the times measured from the first day of the study until the machine produces defective product workers and production steps. The study duration is 90 days. The results show that the probability that the machine type 4 will work properly more than days is 0.40 machine type 5 more than 68 days is 0.32 machine type 6 more than 72 days is 0.31 machine type 8 more than 85 days is 0.26 machine type 9 more than 109 days is 0.80 machine type 10 at more than 52 days is 0.38 machine type 11 more than 71 days is 0.32 and the probability that the machine type 12 will work properly more than 85 days is 0.26. The failure rate of the machine type 4 at day 51 is 6.61 machine type 5 at day 68 is 1.61 machine type 6 at day 72 is 0.77 machine type 8 at day 85 is 1.26 machine type 9 at day 109 is 1.31 machine type 10 at day 52 is 0.92 machine type 11 at day 71 is 1.24 and the failure rate of the machine type 12 at day 85 is 2.15. The factors influencing on the failure rates are worker group 2 and production step 3 at the significance of 0.05.

Pure water was consumed and insufficient that causes from the population continuous increasing. The water was contaminated with some pollutants. The most of science laboratory produced only the distillation water for experimental learning. In present distillation technology was released a lot of wastewater. Therefore a research group interested in applies to use value engineering for water resource management. This research collected the data analysis of distillation water process and designed of renewable wastewater for cooling process. The results shown that before improve system a distillation water and wastewater were found 3.7 l/h and 140.3 l/h respectively. For after improve system a distillation water was found only 3.82 l/h and without wastewater. Furthermore economical study found that the cost of water and electric were saved 394.23 bath/month when compared with old system. And the payback period was 114.16 month (9 years 6 months 3 days). Hence the applied value engineering for water resource management could be saved wastewater 100 percent.