Intelligent Utilization of Digital Manufacturing Data in Modern Product Emergence Processes
The application of digital manufacturing tools has been continuously increasing in order to deal with product and process complexity in shortened product lifecycles.The resulting comprehensive digital documentation of the product emergence process provides an opportunity to support concurrent engineering processes.By identifying correlations and recurrent patterns with the aid of data mining techniques,tacit planning knowledge can be revealed and reintegrated into new process planning workflows in order to enhance planning efficiency and facilitate decision making.Based on the classification and clustering of both product and process data and the determination of their respective linkages,this paper presents a novel approach for the knowledge-based support of product emergence processes.
Digital manufacturing digital process planning data mining concurrent engineering planning support
Regina WALLIS Josip STJEPANDIC Stefan RULHOFF Frank STROMBERGER Jochen DEUSE
Daimler AG, Digital Planning Methods Daimler Trucks, 68299 Mannheim, Germany PROSTEP AG, 3D Product Creation, 64293 Darmstadt, Germany TU Dortmund University, Institute of Production Systems, 44227 Dortmund, Germany
国际会议
The 21st ISPE International Conference on Concurrent Engineering (2014国际并行工程学术会议)
北京
英文
261-270
2014-09-08(万方平台首次上网日期,不代表论文的发表时间)