Use Genetic Algorithm apply in dynamic scheduling–for Traditional Windows Factory

• Main Authors: Ming-Wei Chen, 陳明偉
• Other Authors: Chia-Hsuan Yeh
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/98998421831679441982

碩士 === 元智大學 === 資訊管理學系 === 95 === The artificial intelligence has been fully utilized in the field of productions, which includes the Genetic Algorithms, Genetic Programming, Fuzzy Theory and Neural Network etc. However, the scale of tight window production and the changes of infrastructure makes productions of tradition industry having the problems of NP-hard step by step, therefore, how to build up the effective process of production has become a major issue which encountered by the tight window industry. Owing to the factor that currently most of the documents are discussing how to improve the passive manner of production process, therefore, this research is mainly based on the current production process, building up the active business model with Heuristic to find out the first solution, then make the best use of the interval of production process with Genetic Algorithms to find out if any better solution, so as to uplift quality of production process.