This research aims to reduce waste in the production process to meet the target to find ways to prevent defects occurring in the curing process and to improve preventative measures available today. The waste found in the curing process label the edges are blamed blistering edge under inflated tires cover on low. After brainstorming to find factors that affect the defect by using techniques Six Sigma (Six Sigma).The work five main steps in performing a job defining the problem measuring analyzing problems improved control and severity surveillance and monitoring disorders of the process. It was found that the raw materials are the main parameters that cause much waste as possible. Therefore we have developed an approach to improve the material by adding a preliminary inspection and design documents to determine work procedures. The benefits of this research can reduce the waste that occurs in the curing process of the target by reducing the rate of 8.0 % an average of 7.3% in a survey from January to May 2557 is an average rate of 6.0% In a survey in June 2557 equivalent to saving manufacturing cost 135045 baht per month. The rate of decline is likely to be quite good that make employees feeling and effort to cooperate in the reduction of waste in the production process.

This research aims to 1) set up analysis procedures and define the Information. 2) to Apply DMAIC to the information. 3) to comprehend the number of information models. 4) to Study the acceptance of Information models. And 5) to analyze the acceptance of the Six Sigma Quality indicators . Sample group consisted of 116 people included high-ranking executives middle executives specialistsand operational executives. The simple random sampling from the population of 424 people. The tools used in this research comprise the information models content correctness assessment forms acceptance assessment forms the information models and indicators. The results have shown that 1) the process for analyzing and defining the information consists of four procedures 2) the Information models can be formed with the five steps of DMAIC 3) applying DMAIC has shown that 42 models 4) The number of the populations accepting the models is higher than that of those who do not accept them with statistical significance at .05 level. And 5) The number of the respondents accepting the indicators is higher than that of those who do not accept them with statistical significance at.05 level.