ดาวน์โหลด All Proceeding - AS Nida

ดาวน์โหลด All Proceeding - AS Nida ดาวน์โหลด All Proceeding - AS Nida

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Part 3: To Measure the success of the improvement and adjustment process based on the principle of regression analysis and correlation analysis. Figure 1 Analysis of the causes of stain problem Part 1: To find the main factors that affected the quality of the initial distribution based on analysis technique of the defects and their effects (Failure Mode and Effect Analysis: FMEA) Table 1 Analysis of the defect and its impact on the cloth (water color). Description B1 = the amount of chemicals and dyes Auxiliary (Dispersing Agent) the amount of water in water color. 236 B2 = practice the steps to dissolve the paint. B3 = repetition of the formula, the percentage of colors to suit a lot of raw materials. B4 = ranking order hues, dyeing and ironing Final setting. B5 = quantity of chemicals and solvents, the Auxiliary (leveling) as compared to the amount of water used in dyeing and shades of color. Equation RPN = S x O x D By S = Severity, O =Occurrence, D = Detection Then set the priority level by the RPN scores, the risk of a defect should be updated from large to small number. The analyzing team find the solution by the risk index priority number (RPN) at least 100 points and address the problems. The results are as the tables. Part 2: To analyze the problems and solution without bias in each analysis is based on principles of the Analytic Hierarchy Process (AHP). The factors contributed to the success of the implementation of quality control. The indices measure the success of the operation is structural analysis by hierarchical structures that can be divided into 3 levels. Level 0: Success in controlling water quality fabric paint. Level 1: criteria: an indicator of the success of the operation to control the quality as follows: B1 = the amount of chemicals and dyes Auxiliary (Dispersing Agent) the amount of water in water color. B2 = practice the steps to dissolve the paint. B3 = the percentage of repeating a recipe to suit the material. B4 = ranking by percentage of colors before dyeing, and the rolled towel under the Final set of colors. B5 = chemical and dye Auxiliary (leveling) as compared to the amount of water used in dyeing and percentage of shade color. Level 2: How to fix the problems that affect quality Factor 1 = Segmentation of fabric dye that reacts with chemicals and dyes (Dispersing Agent) in a ratio that is ideal in the percentage of each dissolving colors. Factor 2 = Training / Standards Working Manual (Standard

Part 3: To Measure the success of the improvement and<br />

adjustment process based on the principle of regression analysis and<br />

correlation analysis.<br />

Figure 1 Analysis of the causes of stain problem<br />

Part 1: To find the main factors that affected the quality of<br />

the initial distribution based on analysis technique of the defects and<br />

their effects (Failure Mode and Effect Analysis: FMEA)<br />

Table 1 Analysis of the defect and its impact on the cloth (water color).<br />

Description<br />

B1 = the amount of chemicals and dyes Auxiliary<br />

(Dispersing Agent) the amount of water in water color.<br />

236<br />

B2 = practice the steps to dissolve the paint.<br />

B3 = repetition of the formula, the percentage of colors to<br />

suit a lot of raw materials.<br />

B4 = ranking order hues, dyeing and ironing Final setting.<br />

B5 = quantity of chemicals and solvents, the Auxiliary<br />

(leveling) as compared to the amount of water used in dyeing and<br />

shades of color.<br />

Equation<br />

RPN = S x O x D<br />

By<br />

S = Severity, O =Occurrence, D = Detection<br />

Then set the priority level by the RPN scores, the risk of a<br />

defect should be updated from large to small number. The analyzing<br />

team find the solution by the risk index priority number (RPN) at least<br />

100 points and address the problems. The results are as the tables.<br />

Part 2: To analyze the problems and solution without bias in<br />

each analysis is based on principles of the Analytic Hierarchy Process<br />

(AHP).<br />

The factors contributed to the success of the implementation<br />

of quality control. The indices measure the success of the operation is<br />

structural analysis by hierarchical structures that can be divided into 3<br />

levels.<br />

Level 0: Success in controlling water quality fabric paint.<br />

Level 1: criteria: an indicator of the success of the operation<br />

to control the quality as follows:<br />

B1 = the amount of chemicals and dyes Auxiliary<br />

(Dispersing Agent) the amount of water in water color.<br />

B2 = practice the steps to dissolve the paint.<br />

B3 = the percentage of repeating a recipe to suit the<br />

material.<br />

B4 = ranking by percentage of colors before dyeing, and<br />

the rolled towel under the Final set of colors.<br />

B5 = chemical and dye Auxiliary (leveling) as compared<br />

to the amount of water used in dyeing and percentage of shade color.<br />

Level 2: How to fix the problems that affect quality<br />

Factor 1 = Segmentation of fabric dye that reacts with<br />

chemicals and dyes (Dispersing Agent) in a ratio that is ideal in the<br />

percentage of each dissolving colors.<br />

Factor 2 = Training / Standards Working Manual (Standard

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