The objectives of this research are to study factors affecting the sustainable success and define the key performance indicators. The research instruments used for data-gathering were semi-structured interview. The results of the interviews were created by using independent variables in questionnaire. The populations of this research are the 54 fast dining business entrepreneurs within 500 metres around the Thawes Area. The information collected by 54 questionnaires with a 100% response rate and analyzed and processed by computer. The results were as follows : There are three main factors affecting the sustainable success of the fast dining business in Thawes area which are internal operation social responsibility and environmental responsibility. Internal operation composed of reasonal pricing fast services constant tasty great hospitality and always keep a good standard. Social responsibility consisted of fresh ingredients cooking process with heath concerns clean kitchen pricing display and following the law of minimum wage employment hiring. Environmental reposibility are include using uncontaminated seasoning reliable source of food ingredients non-toxic cooking material unexpired seasoning and safe tableware and food container. The result can lead to 10 key performance indicators. It’s include customer satisfaction towards services customer satisfaction on the constant taste customer satisfaction on resonable pricing customer confidence in food standard customer confidence in freshness of food ingredients customer confidence in the cleanliness of food customer confidence in the cleanliness of cooking material and kitchen customer confidence in clear pricing display employees satisfaction on their wage and customer confidence on the safety of food. The suggestions were that the entrepreneurs should improve their business to earn more profit and train their employee for a successful service. Related educational Institution and government sectors must be coordinated to develop entrepreneurs in fast dining business to maximize ability for a sustainable success.

The objective of this research is to study the readiness and procedure of the personnel in coping with the entering Asean community from example group of 126 people which classified by sex ages position educational degree field of work salary and working life. This study uses questionnaire as a tool in collecting data that could be categorized in three aspects knowledge skills and attitudes. The questionnaire is five rating scales that analyze the result by frequency percent average the average of standard deviation and T-test independent by using one way ANOVA. The results were as follows : From one hundred percent of the personnel of faculty of Engineering Rajamangala university of technology phra nakhon which 58.25% classified by the educational field and 31.75% support line are ready to enter into Asean community which could be seen average in whole picture. After considering in three aspects it appeared that knowledge and skills of personnel are also average. However the attitude of personnel was considered in a high level. Hypothetic test result was found that there was no difference among the personnel with difference sex ages position educational degree field of work salary and working life in their readiness in entering Asean Community.

The objectives of this research is to study the current competencies assess competency requirement of community enterprise (OTOP) entrepreneurs in the central region of Thailand and provide them guidelines toward ASEAN Economic Community. The research instruments used for data-gathering were semi-structured interview. The results of the interviews were created by using independent variables in questionnaire. The samplers of this research are the 189 community enterprise (OTOP) entrepreneurs with a 82.54% response rate. The results were as follows : Attributes and skills indicated by current competencies were at high level while knowledge was medium level. The competency requirement attributes skills and knowledge were at high level respectively. The fundamental preparation for competency of community enterprise (OTOP) entrepreneurs in the central region of Thailand toward ASEAN Economic Community should develop competencies in knowledge attributes and skills especially in the international trading regulation international language information technology and management. The community enterprise (OTOP) entrepreneurs should increase skills in the continuous expertise in product development and organization as well as seeking for new markets and creating continuous business networking including organizational innovation acceleration. The community enterprise (OTOP) entrepreneurs should develop attributes to seek for business opportunities widen continuous knowledge and innovation and increase potential organizational development. The suggestions were that the community enterprise (OTOP) entrepreneurs should develop competencies and seek for source of information and ask for government support to get into ASEAN Economic Community. The government sector should support knowledge skills attributes and cooperate with school financial and other to develop potential of community enterprise (OTOP) entrepreneurs in a long term.

This research proposes a Bayesian logistic regression model which is applied to the data from autoparts manufacturing machines. Factors related to defective and bad products are investigated. The proposed model is compared with the logistic regression using maximum likelihood method for parameter estimation. The data were collected from 132 machines in an autoparts manufacturing factory. The research found that useful life machine type 6 worker group 3 and 4 working step 1 and 2 influence to the risk of producing defective and bad products. When the useful life is increased by 1 month the risk of producing defective and bad products will be increased by 2.2%. The risk that the machine type 6 will produce defective and bad products is 4.078 times greater than the risk that the machine type will do. The risk that the worker group 3 will produce defective and bad products is 61.7% less than the risk that the worker group 12 will do. The risk that the worker group 4 will produce defective and bad products is 61.5% less than the risk that the worker group 12 will do. The risk that the working step 1 will produce defective and bad products is 2.831 times greater than the risk that the working step 4 will do. The risk that the working step 2 will produce defective and bad products is 13.8 % greater than the risk that the working step 4 will do. The parameter estimates from the Bayesian logistic regression are very close to the ones from the logistic regression using maximum likelihood method for parameter estimation

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.