Title :
Research on dynamic process planning system considering decision about machines
Author :
Wang, Zhongbin ; Chen, Yuliu ; Wang, Ningsheng
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
The traditional CAPP systems can generate process plans based on the two assumptions: that the job-shop remains static and there are unlimited resources available. Under these assumptions, when the process plans for the workpieces were finally, sent to the job-shop, process bottlenecks normally arose, making the generated process plans ineffective. In order to improve the validity of the process plans, a kind of dynamic CAPP system integration model was introduced, and machine decision-making was carried out based on BP neural network and relevant algorithm. As a result, the process plans which CAPP system generates can accord with the production situation and the requirements of the job-shop scheduling. Based on an illustrative example, the process of the decision-making for the machines was described in detail by using BP neural network and relevant algorithm.
Keywords :
backpropagation; computer aided production planning; decision making; job shop scheduling; neural nets; BP neural network; CAPP system integration model; dynamic process planning system; job shop scheduling; machine decision making; manufacturing resources; Automation; Computer integrated manufacturing; Decision making; Dynamic scheduling; Feature extraction; Fixtures; Job shop scheduling; Manufacturing processes; Neural networks; Process planning;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1342101
