A Model of Manufacturing Quality Information Supporting Design

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....

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Bibliographic Details
Published in2007 IEEE International Conference on Industrial Engineering and Engineering Management pp. 184 - 188
Main Authors Xianlong Xu, Shurong Tong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2007
Subjects
Decision making
Design decision-making
IDEF0 diagram
Information analysis
Information representation
Manufacturing processes
manufacturing quality information
Object oriented modeling
Process design
Product design
Pulp manufacturing
Quality management
requirement model
Virtual manufacturing
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Summary: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.
ISBN:1424415284
9781424415281
ISSN:2157-3611
DOI:10.1109/IEEM.2007.4419176