Title :
A model of manufacturing quality information supporting design
Author :
Xu, Xianlong ; Tong, Shurong
Author_Institution :
North-Western Polytech. Univ., Xi´´an
Abstract :
Quality information produced in manufacturing process is tightly related to product and process design decision-making. However, manufacturing quality information is rarely taken into considerations by product and process designers. It is also difficult for designers to capture quality information. Firstly, the demands for manufacturing quality information supporting product and process design decision-making are analyzed in this paper. Then requirement model of manufacturing quality information supporting design decision-making is given. Thirdly, according to the manufacturing quality information three-layer representation framework based on STEP standards mentioned in our previous research, manufacturing quality information representation in application layer is studied. Fourthly, the paper describes model of manufacturing quality information supporting design decisions using IDEFO diagram. Finally, through some investigation of design process of heavy vehicle transmission, a model of manufacturing quality information supporting transmission design decision-making using IDEFO diagram is proposed.
Keywords :
CAD; decision making; information systems; manufacturing processes; process design; product design; quality control; IDEFO diagram; STEP standards; heavy vehicle transmission; manufacturing process; manufacturing quality information supporting design; process design decision-making; product design; Decision making; Information analysis; Information representation; Manufacturing processes; Object oriented modeling; Process design; Product design; Pulp manufacturing; Quality management; Virtual manufacturing; Design decision-making; IDEF0 diagram; manufacturing quality information; requirement model;
Conference_Titel :
Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1529-8
Electronic_ISBN :
978-1-4244-1529-8
DOI :
10.1109/IEEM.2007.4419176
