This is an independent study on greenhouse gas emissions and ways to reduce them. A five-star resort in Koh Samui Surat Thani province has been used as a case study. The study used digital tools to gather information on activities that cause greenhouse gases and energy consumption at the resort. The calculation of carbon footprint is in line with the guidelines of the Thailand Greenhouse Gas Management Organization. Digital systems help data collection and carbon footprint analysis and this is best done at set intervals. For example digital systems can monitor power consumption every 15 minutes measured in real time. The carbon footprint maximum emission each day occurs between 2.00 and 4.00 pm the peak time of energy consumption. Use of electricity is the activity that produces the highest amount of greenhouse gases at a total volume of 4215.1 tonCO2-e per year or 88.12% of the total activity. LPG gas consumption produces the second largest volume of greenhouse gas emissions at 412.8 tonCO2-e per year or 8.63% of the total activity. From January to December 2017 the carbon footprint emission is 4783.5 tonCO2-e and the average emission per room night is 4.2 tonCO2-e. The study found that a 10% reduction in energy Consumption could reduce greenhouse gas emissions by 421.52 tonCO2-e per year or 0.4 tonCO2-e per room night.

The objective of this research improve the taxation process service KhunKaew Subdistrict Municipality Office. Quality Function Deployment: QFD is found that the standard of period operating time should be resolved by applying the principle of improving ECRS that reduce the working time of Property tax collection process. There are 6 steps of the testing process and finding the standard time with the 10-cycle times to find out about appropriate number of cycles using the Maytag table at 95% reliability and ±5% precision. The results are found that the appropriate of 13 sub-tasks number cycles times and no more than 10 cycles. Then use the average time to find out determining allowances time for determine standard time. The results after applying the ECRS principle to improve and solve problems in sub-work are found that it can reduce the number of sub-work from 13 works to 11 works and also can reduce the cycle time from 1168.88 seconds down to 633.68 seconds or 45.74%. There are reduce wasting of working process waiting times duplication of work. The result could be applied with another tax collection the similar methods and could be responses the customer requirements.

This paper aim to be improvement the installation methods for Sliding Aluminium Door and Glass in order to be the good quality product by applying the motion and time study design the new model of the receiver lock set for the sliding door. The step of study process started from studied the sliding door installation processes gathering the works process and reducing unnecessary and duplicate of work process on site elimination establishing standardized time for modifying the installation process. From the result before applied new method we founded that the installation process before installation process improvement we were spent the time of installation process at 45.38 minute per set and after we used the new method we founded that the installation process time was 35.36 minute per set it can be decreased the installation time was 10.02 minute and the efficiency of work process operation was increased 22.08 percent and the line balancing performance before improvement was 56.73 percent and after improvement was 88.40 percent and the line balancing performance was increased 31.67 percent. Unless there are the improvement installation methods it makes the company in case study will be do the work to be delay and cannot be hand over the works just in time by the schedule planning.

The purpose of the study on decision making to buy Arowana fish online was to investigate the customers’ purchasing behavior on Arowana fish through online selling channels. This is a survey research study and the tools used in the study were the online surves generated from the review of relevant research papers. The data were analyzed from 311 customers using frequency mean standard deviation K-Mean clustering grouping. The research result revealed that most of the customers were males between 31-40 years old with buying reasons for the beauty of the fish called Malaysian Golden Arowana with the price between 5000 - 10000 baht. According to the study on the factors affecting the decision to buy Arowana fish via the online channel the respondents had a high level of decisionmaking on marketing mix in all aspects including the product physical environment price distribution channel process marketing promotion and person. It was found that male behavior was different from the female in terms of the price to purchase which was less than 5000 baht. It was also found that they were from all ages with the same reasons to buy fish for its beauty. However the fish species purchased and prices varied according to the age range. The respondents who were less than 20 years old bought high back Arowana fish for the price of lower than 5000 baht as well as those from 20 to 30 years old. The customers who were 31 - 40 41-50 51-60 and over 60 years old bought golden Malaysian Arowana on the price ranges from lower than 5000-10000 baht 20000 baht or more 5000 baht and lower and 10000 - 20000 baht respectively. By segmenting customers by means of K-Mean Clustering it was found that in Group 1 the majority were males aged 41- to 50 years old with the reasons to buy for the beauty of golden Malaysian Arowana fish with the price of 5000 - 10000 baht. Group 2 was mainly males 21 - 30 years old with the reasons to buy for the beauty of golden Malaysian Arowana fish with the price of lower than 5000 baht. Group 3 was mainly males who were 21 to 30 years old with the reasons to buy for the beauty of golden Malaysian Arowana fish with the price of less than 5000 baht. The fourth group was all males aged from 31 to 40 years old with the reasons to buy for the beauty of golden Malaysian Arowana fish with the price of 5000 - 10000

The objectives of this study were to 1) study the satisfaction of users of the Treasury Division Rajamangala University of Technology Phra Nakhon and 2) to compare the satisfaction of users of Rajamangala University of Technology Phra Nakhon according to their personal classification. Thedata were collected from a sample of 214 people. The tool used for collecting data was a questionnaire and the data analysis was performed using frequency percentage mean standard deviation and One-Way ANOV). Scheffe was applied to test the differences of each pair. The results of this research revealed all four aspects of the satisfaction of users of the Treasury Department of Rajamangala University of Technology Phra Nakhon which included the: staff service process of service process facilities and service quality at a moderate level.