The research on the factors influencing the creation of competitiveness for exporting Halal food using Thailand - ASEAN logistics route was aimed (1) to study the factors that influenced the ability to compete for exporting Halal food using Thailand - ASEAN logistics route including economic environment resources and operational capabilities financial administration legal administration and logistics and (2) to examine the consistency of the causal model with the empirical data. The variables used in this study were the independent variables including the economic organization organization resources financial administration legal administration and logistics. The independent variable was the ability to compete for exporting Halal food using Thailand - ASEAN logistics route. The researchers used a mixed method of qualitative and quantitative study. Questionnaires were used to collect empirical data from 445 exporter samples. The statistical methods used to analyze data were the frequency percentage mean standard deviation and the analysis on the structural equation model. The results revealed that the model was well consistent with the empirical data. The Chi – Square (2) value was 417.295 at the degrees of freedom (df) of 569 with the probability (p-value) equal to 1.000. The chi - square relative (2/df) was 1.368 with the index of harmony (GFI) equal to the probability p-value equal to 0.960. The modified harmony index measuring (AGFI) was equal to 0.930 and the index error in estimation parameters (RMSEA) was equal to 0.015. Moreover it was found that the variables were economic organization organization resources financial administration legal administration logistics and Halal food quality had positive effect on the ability to compete for exporting Halal food using Thailand - ASEAN logistics route. The research results suggested the entrepreneurs focus on environmental variables economic organization organization resources financial administration legal administration logistics and Halal food quality which could lead to advantageous for the competition exporting Halal food using Thailand - ASEAN logistics route.

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

The implementation process and the supply chain transporting products used in construction. This is the process involves moving and storage distribution production planning and delivery. It is activities related to the management of the interaction processes and strategies for working effectively together to deliver the product as possible. The survey questionnaire to a sample of 100 projects and the 100 series for study sample. This is assumption that the information is credible information that has been 95 %. The results showed that the current project and the construction of a transport and supply chain principles attributed to the operation of many businesses but some of the data slightly different. Because of the way the business has different stages of implementation. Conclusions the study are to measure the reliability of the data using the program (SPSS) analysis showed that the reliability of the project is 98.7% and small and medium-sized enterprises was 98.9 %.information must be confidence according to hypothesis.

The objectives of this research are: to study the characteristics of students in the Faculty of Engineering at Rajamangala University of Technology Pra Nakorn North Bangkok Campus that influence to the risk of withdrawal from Calculus 2 for Engineers; to predict the risk of withdrawal from Calculus 2 for Engineers; and to use the results of the study for planning and solving the problems of withdrawal from Calculus 2 for Engineers. The sample is 226 students in the Faculty of Engineering at Rajamangala University of Technology who enrolled the Calculus 2 for engineers in the second semester of the academic year 2009. The data are from the questionnaire. The factors considered are grad point average the number of enrollments for the Calculus 1 for engineers Calculus 1 for Engineers grade the number of courses that emphasize on calculation that were enrolled in the second semester of the academic year 2009 the sacrifices of students for the Calculus 2 for Engineers course and the need to withdraw from Calculus 2 for Engineers course before other courses. The logistic regression model in which the parameters are estimated by using Bayesian methods is used for analyzing the data. The study shows that the factors that influence to the risk of withdrawal from the Calculus 2 for Engineers are grade point average Calculus 1 for Engineers grade the number of courses that emphasize on calculation that were enrolled in the second semester of the academic year 2009 and the sacrifices of students for the Calculus 2 for Engineers and the need to withdraw from Calculus 2 for Engineers before other courses. The factor that does not influence to the risk of withdrawal from the Calculus 2 for Engineers is the number of enrollments for the Calculus 1 for Engineers.