Optimization of Microneedle Manufacturing Process using Genetic Alogorithm and Grey Theory

• Main Authors: Wei-Hung Yeh, 葉偉弘
• Other Authors: Chui-Yu Chiu
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/70838971625761271028

碩士 === 國立臺北科技大學 === 工業工程與管理系碩士班 === 101 === The surgical therapy or drug treatment commonly uses on the suffering disease. In recent years, in order to avoid side effects of drug infusion and inhibition of excess production, the development of a new drug delivery system for the transdermal drug delivery approach, which is constituted by a microneedle array patch on the skin, the direct use of microneedle through the skin, the epidermis, allowing penetration of drugs through the skin after delivery through the blood circulation to the body, in order to achieve the effects of treatment, with a considerable number of traditional treatment methods cannot reach advantages. Microneedle in length micron rating, as a acicular structure, madethrough the micro-electromechanical systems. How low cost, fast and high-quality products manufactured rate way, is a common problem. In this study, a gray relational analysis with genetic algorithm with both experiments, the product optimization process to do a study in the hope of soft computing method in the product optimization process can quickly and effectively get optimal results. Research shows that both experiments, gray relational analysis and genetic algorithm to get the most important process parameters are the embossing temperature; gray relational analysis and calculation time required for the same case is less than the genetic algorithm, but the calculation results show that genetic algorithms closer with existing experimental results, so soft computing method of different algorithms in optimization process has its advantages and disadvantages.