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Integrated product and process data for business to business collaboration

Published online by Cambridge University Press:  12 February 2004

BOONSERM KULVATUNYOU ,
NENAD IVEZIC ,
RICHARD A. WYSK  and
ALBERT JONES
BOONSERM KULVATUNYOU
Affiliation:
Manufacturing Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA
NENAD IVEZIC
Affiliation:
Manufacturing Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA
RICHARD A. WYSK
Affiliation:
Department of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, Pennsylvania USA
ALBERT JONES
Affiliation:
Department of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, Pennsylvania USA
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Abstract

Collaborative development of engineered products in a business to business (B2B) environment requires more than the selection of components from an on-line catalogue. It involves the electronic exchange of product, process, and production engineering information during both design and manufacturing. Although the state of the practice does include a variety of ways to exchange product data electronically, it does not extend to the exchange of manufacturing process data. The reason is simple: process data are usually tied to specific manufacturing resources. These resources are not known typically at product development time. This paper proposes an approach called integrated product and process data, in which manufacturing process data are considered during product development. This approach replaces traditional process plans, which are resource specific, with a resource-independent process representation. Such a representation will allow a much wider collaboration among business partners and provide the necessary base for collaborative product development.

Keywords

Collaborative ManufacturingCollaborative Product DevelopmentIntegrated Product and Process DataProcess Planning DecompositionProcess Planning EvolutionVirtual Enterprise
Type
Research Article
Information
AI EDAM , Volume 17 , Issue 3 , August 2003 , pp. 253 - 270
Copyright
© 2003 Cambridge University Press

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