The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Advances in Engineering Software
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
Domain-Specific Modeling
An embedded system for knowledge-based cost evaluation of molded parts
Knowledge-Based Systems
Application of MOKA methodology in generative model creation using CATIA
Engineering Applications of Artificial Intelligence
A paradigmatic and methodological examination of knowledge management research: 2000 to 2004
Decision Support Systems
Advanced Engineering Informatics
Supporting management and maintenance of manufacturing knowledge in design automation systems
Advanced Engineering Informatics
Expert Systems with Applications: An International Journal
Advanced Engineering Informatics
A multidisciplinary implementation methodology for knowledge based engineering: KNOMAD
Expert Systems with Applications: An International Journal
Distributed product design and manufacturing based on KBE
CSCWD'05 Proceedings of the 9th international conference on Computer Supported Cooperative Work in Design II
Advanced Engineering Informatics
Flexible and robust CAD models for design automation
Advanced Engineering Informatics
Knowledge-based support in Non-Destructive Testing for health monitoring of aircraft structures
Advanced Engineering Informatics
Technical note: A part affordance-based approach for capturing detailed design knowledge
Computer-Aided Design
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Knowledge-Based Engineering (KBE) is a research field that studies methodologies and technologies for capture and re-use of product and process engineering knowledge. The objective of KBE is to reduce time and cost of product development, which is primarily achieved through automation of repetitive design tasks while capturing, retaining and re-using design knowledge. Published research on KBE is not very extensive and also quite dispersed; this paper is an effort to collect and review existing literature on KBE. A total of 50 research contributions have been analysed. The main objectives of this analysis are to identify the theoretical foundations of KBE and to identify research issues within KBE, pointing out the challenges and pitfalls that currently prohibit a wider adoption of KBE while suggesting avenues for further research. Key findings include (a) the necessity for improved methodological support and adherence, (b) better transparency and traceability of knowledge, (c) the necessity for a quantitative framework to assess the viability and success of KBE development and implementation projects, and (d) the opportunity to move towards mass customization approaches through distributed deployment of KBE in the extended enterprise.