A Genetic Algorithm for Integration of Process Planning and Scheduling Problem

作者：Li, Xinyu^*; Gao, Liang; Zhang, Guohui; Zhang, Chaoyong; Shao, Xinyu

来源：1st International Conference Intelligent Robotics and Applications, Wuhan, PEOPLES R CHINA, 2008-10-15 To 2008-10-17.

• Integration of process planning and scheduling
• Process planning
• Scheduling
• Genetic algorithm

Traditionally, process planning and scheduling for parts are carried Out in a sequential way, where scheduling is done after process plans have been generated. Considering the two functions are usually complementary, there is a great potential to integrate them more tightly so that greater performance and higher productivity of a manufacturing system can be achieved. In this paper, a genetic algorithm-based approach has been developed to facilitate the integration and optimization of these two functions. To improve the optimized performance of the genetic algorithm-based approach, efficient genetic representations and operator schemes have been developed. Experiment Studies have been conducted. The experimental results show that the proposed approach is a promising and very effective method for the integration of process planning and scheduling.

• 出版日期2008
• 单位数字制造装备与技术国家重点实验室; 华中科技大学