The purpose of this research was to study the direction of education management in textile and fashion design: education management concepts which effect to labor market (Target Market) with toward industry 4.0 for sustainability which was studied by industrial textile and fashion design faculty Rajamangala Phra-nakhon University of Technology. The sample of this result was used of graduate students manufacturing entrepreneur and lecturer. The research tools were used questionnaires assessment and data analysis by SPSS for window and Microsoft Excel frequency percentage mean and standard deviation were used to analyze the obtained data. The results of the study showed about direction of education management in textile and fashion design: education management concepts which effect to labor market (Target Market) with toward industry 4.0 for sustainability that most of the respondents were graduate students had concerned about the relationship and responsibility as priority which the opinion scored as highest as X ̅ = 4.19 and their Ethics scored as X ̅ = 4.03 The manufacturing and entrepreneur scored high for almost topic; cognitive skills domain scored as( X) ̅ = 4.00 psychomotor domain scored as X ̅= 3.92 knowledge domain scored as( X) ̅ = 3.63 and relationship and responsibility domain scored as X ̅ = 3.59. But the scored of numerical analysis communication and information as medium as X ̅ = 2.83 the lecturer were most concentration about psychomotor domain as scored as X ̅= 4.03 which was the most popular the others domain was high scored; Ethics domain was scored asX ̅ =3.88 knowledge domain was scored as X ̅= 3.80 Relationship and responsibility domain scored as (X ̅ = 3.70) cognitive skills domain scored as (X ̅ = 3.54).

The purpose of this research was to study the relationship between profitability and shareholders wealth creation of food and beverage industry in The Stock Exchange of Thailand during the years 2010 to 2014. The study examined the financial data of twenty companies in the food and beverage industry with the highest market capitalization as of July 11th 2014. The study used descriptive statistics for initial data testing and used stepwise multiple regressions for testing the hypothesis. The results of the profitability study using stepwise multiple regression analysis indicated that the Operating Income Margin (OIM) Net Profit Margin (NPM) Return on Assets (ROA) Investment income (INV) and number of board of directors (BOD) were significantly related to shareholders wealth creation of food and beverage industry at the confidence level of 95%. However Firm size (FSIZE) was not statistically related to Shareholders Wealth creation of food and beverage industry.

The forecasting method is important because it can predict phenomena in the future. The accuracy of the forecast depends on the model and the initial conditions. In addition the predictability measurement method is important can be check the accurate of forecasts. In this research is winter monsoon forecasts in Thailand by the shallow water model. The data from The Bjerknes Centre for Climate Research (BCCR) University of Bergen Norway. The global climate model is Bergen Climate Model (BCM) Version 2.0 (BCCR-BCM2.0) of the Intergovernmental Panel on Climate Change (IPCC) is used. The Lyapunov exponent (LE) is the predictability measurement method for verify the efficiency of model and establish the new predictability measurement method by the time series analysis. The result to show that the new predictability measurement method by the time series analysis can be measure the efficiency of the winter monsoon forecasts in Thailand by the shallow water model for December 2015 to December 2056 are suitable.

The shallow water model is a mathematical model was developed from the shallow water equations. It consists of the continuous flow and the momentum equation of non-linear in the x-axis and y-axis. The boundary conditions of the model is the cyclic continuity from east to west and the open boundary conditions from north to south. The northeast monsoon forecast by the shallow water model can’t be predicted in a long time period because the boundary conditions of the model has a problem. Thus improvement the boundary conditions of shallow water model by using wall boundary condition from north to south. The results of this research to found that the shallow water model can correctly forecast the northeast monsoon period in the long term.

The objective of this study was to investigate Management of Credit Risk for Sustainability of Army Welfare Department Savings and Credit Cooperative Limited. The data were collected through the interviews with executives such as division directors or vice directors who were requested to provide guidelines how to sustainably manage credit risk. The research results revealed the overall credit risk management which was highly focused on the credit monitoring follow-up management borrowers’ qualification inspection borrowers’ financial competence and borrowers’ secured credit. The management of the Army Welfare Saving Cooperative Limited demonstrated decent understanding of how to prevent future credit risk proficiently and effectively considering from their systematic procedures of how to monitor and follow up the loans according to the credit risk management plan. Problems in relation to credit risk was rarely found as the allowance for doubtful accounts had been set which resulted in sustainable credit risk management and fluent administration suitable for the economy in the meantime as well as the future time.