Article ID Journal Published Year Pages File Type
1701673 Procedia CIRP 2012 6 Pages PDF
Abstract

Manufacturing industry has been progressively using digital tools for product development and manufacturing control to handle product and process complexity as well as to react to ever-increasing cost and time pressure. This paper presents aims and potentials of the application of knowledge discovery processes in industrial databases for the identification and extraction of new knowledge in order to support planning and decision making processes in product emergence. Therefore, it describes basic approaches for the intelligent utilisation of discovered knowledge on the example of prospective assembly time determination in early phases of product emergence

Related Topics
Physical Sciences and Engineering Engineering Industrial and Manufacturing Engineering