动态CAPP系统及其加工资源决策方法的研究

Research on Dynamic CAPP System and Its Decision about Manufacturing Resource

为提高工艺计划的可执行性 ,提出一种动态CAPP系统集成模型。在工艺计划产生过程中 ,考虑车间加工资源的状态以及能力 ,实现加工资源的合理选择 ,产生具有良好生产指导能力的工艺计划信息。在资源决策过程中 ,基于BP神经网络进行车间加工资源决策 ,利用相关算法计算对应于每一加工特征的加工资源的优先指标 ,按照优先指标排序。结果表明 ,利用该方法产生的工艺计划符合车间资源能力 。

In order to improve validity of process plans, this paper introduced a kind of dynamic CAPP system integration model. In the process of generating the process plans, the manufacturing resources were reasonably selected by considering the states and capabilities of the manufacturing resources in the job-shop, thus the process plans which had the nicer production instruction capability were generated. During resource decision, resource decision was carried out based on BP neural network, and the preference indices of the manufacturing resources which correspond to each of features were calculated by use of the relevant algorithms, the manufacturing resources were sorted according to the preference indices. The results show the process plans which is generated by the CAPP system can accord with the production situations and the requirements of the shop floor scheduling.