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On an adaptive product development system: a hybrid database approach

On an adaptive product development system: a hybrid database approach Getting the right information at the right time is one of the success factors of product development. However, there exist a great variety of data formats which make the bi‐directional data interchange among various development groups inefficient and costly. Due to the lack of adequate product and engineering data, design practitioners may find it difficult to transform the customer’s requirements to a value‐added product. This paper attempts to propose a hybrid database approach (HDA) to support effective data exchange among a case based reasoning knowledge repository and a corporate relational database model, presenting an integrated view of a company’s knowledge sources so as to enable better decision‐making by providing immediate access to key business information. To introduce machine learning capability to the whole system, case based reasoning (CBR) is embraced to capture past experience and knowledge for case matching in terms of product development issues. The significance of this research is the provision of a cross‐platform data exchange system, which is able to facilitate the creation of a conducive product development environment. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Integrated Manufacturing Systems Emerald Publishing

On an adaptive product development system: a hybrid database approach

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Publisher
Emerald Publishing
Copyright
Copyright © 2003 MCB UP Ltd. All rights reserved.
ISSN
0957-6061
DOI
10.1108/09576060310453353
Publisher site
See Article on Publisher Site

Abstract

Getting the right information at the right time is one of the success factors of product development. However, there exist a great variety of data formats which make the bi‐directional data interchange among various development groups inefficient and costly. Due to the lack of adequate product and engineering data, design practitioners may find it difficult to transform the customer’s requirements to a value‐added product. This paper attempts to propose a hybrid database approach (HDA) to support effective data exchange among a case based reasoning knowledge repository and a corporate relational database model, presenting an integrated view of a company’s knowledge sources so as to enable better decision‐making by providing immediate access to key business information. To introduce machine learning capability to the whole system, case based reasoning (CBR) is embraced to capture past experience and knowledge for case matching in terms of product development issues. The significance of this research is the provision of a cross‐platform data exchange system, which is able to facilitate the creation of a conducive product development environment.

Journal

Integrated Manufacturing SystemsEmerald Publishing

Published: Feb 1, 2003

Keywords: Product development; Relational database; Data administration

References