This article presents the energy conservation of the wood furniture factory in Samutprakarn province by using engineering management technique. The electrical energy of 7408000 kWh per year or 25988055 Bath per year is mainly used in the processes including a heating energy system that is derived from wood scrap. After detailed audit it was found that 8 measures have a potential to improve energy efficiency. 7 measures for electrical energy can reduce the energy of 479837.60 kWh per year and the rest decreases heating energy of 120297.15 MJ/Year or saving the scrap of 9.4 tons per year. In order to assess economic possibility all measure also were considered. The result showed that it was worth to investment. In addition specific energy consumption (SEC) can be improved from 0.57 kWh/ft3 to 0.54 kWh/ft3 or diminishing of 5.26 %

The purpose of this research was to study and compare the reliability of Allen’s method (ΩW) and McDonald’s method (ωMD) using a NEO Five – Factor Inventory Scale and three different extractions with three different sample sizes. The sample was freshmen of Rajamangala University of Technology in Bangkok area. The results of the research were as the reliability of multidimensional scale from different extractions within the different sample sizes when using ΩW and ωMD were different with statistical significance at the level of .05. The estimation of reliability of multidimensional scale was most appropriate when using 3000 pseudo populations as the representative of large sample. The extraction of generalized least squares or principal factors with ΩW should be used with the sample sizes of 100 and 200 while the extraction of principal factors with ΩW should be used with the sample size of 500.