Model-based self-optimization for manufacturing systems
Model-based self-optimization for manufacturing systems
复制标题
基于模型的制造系统自优化
DOI：
--
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
F. Klocke
中科院分区：
文献类型：
--
作者：
U. Thombansen;Jens Schüttler;Thomas Auerbach;Marion Beckers;G. Buchholz;U. Eppelt;Y. Gloy;Peter Fritz;Stephan Kratz;J. Lose;T. Molitor;A. Reßmann;Andreas Schreiber;D. Veselovac;K. Willms;Thomas Gries;Walter Michaeli;D. Petring;R. Poprawe;U. Reisgen;R. Schmitt;Wolfgang Schulz;F. Klocke
本文描述了一种制造系统的自优化方法，它解决了高工资国家生产的多元引理的计划价值取向。工作范围包括对技术系统认知的研究，以及将工艺知识转化为面向产品质量的机器可读形式。基于元模型方法，来自多个信息源的数据的专门处理允许考虑操作域来确定操作点和优化潜力。因此，实现了信息处理传感器致动器系统，其适应于优化的内部目标和当前过程状态，以确保满足预定义的外部目标。
This paper describes an approach to self-optimization for manufacturing systems that addresses the plan - value orientation of the polylemma of production for high wage countries. The scope of the work comprises research on cognition for technical systems as well as transfer of process knowledge into machine readable form oriented towards product quality. Based on a meta-model approach, specialized processing of data from several information sources allows determination of the operating point and optimization potential considering the operating domain. Consequently, information-processing sensor actuator systems are implemented that adapt to optimized internal objectives and the current process status to ensure meeting of predefined external objectives.