Applications of UML and Genetic Algorithms to the Scheduling-Monitor-Control System for Flow-Shop Production

• Main Authors: Shin-Shen Chang, 張世賢
• Other Authors: Tung-Kuan Liu
• Format: Others
• Language: en_US
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/94572397951931403650

碩士 === 國立高雄第一科技大學 === 機械與自動化工程所 === 92 === The procedural production is widely used in the traditional chemical industry where the manufacturing processes are fixed, because the products are seldom substituted or improved with new recipes. But the situations become different for paint production in chemical industry. Paint factories must be capable of producing a variety of paints in small volumes. Therefore, we design the scheduling-monitor-control system for the paint factory to manage the production processes more efficiently. To obtain an optimal production schedule, we propose a genetic algorithm with the new type of the chromosome representation, which is compared with other representations to illustrate its effectiveness. Unified Modeling Language (UML) is used to design the monitor and control system. We transform UML to Petri Nets to analyze the dynamic processes of the system in the paint factory. Therefore, the production efficiency of the paint factory can be best improved by the proposed monitor-control-scheduling system in the thesis.