Journal Article10.1016/J.ESWA.2010.04.027
A multidisciplinary implementation methodology for knowledge based engineering: KNOMAD
94
TL;DR: The main contribution of the paper is to highlight the development of the KNOMAD methodology and to substantiate its individual steps with sufficient detail to support the application of KNOMad in practice.
read more
Abstract: Existing knowledge-based engineering methodologies offer opportunities for improvement, as the multidisciplinary character of engineering design is not well implemented and as the current methodologies are not optimally substantiated. To better address the integration of multidisciplinary engineering knowledge within a knowledge based engineering (KBE) framework, the KNOMAD methodology has been devised. KNOMAD stands for Knowledge Nurture for Optimal Multidisciplinary Analysis and Design and is a methodology for the analytical utilization, development and evolution of multi-disciplinary engineering knowledge within the design and production realms. The KNOMAD acronym can also be used to highlight KNOMAD's formalized process of: (K)nowledge capture; (N)ormalisation; (O)rganisation; (M)odeling; (A)nalysis; and (D)elivery. These implementation steps are taken and repeated as part of the knowledge life cycle and in this context KNOMAD nurtures the whole Knowledge Management across that life cycle. The main contribution of the paper is to highlight the development of the KNOMAD methodology and to substantiate its individual steps with sufficient detail to support the application of KNOMAD in practice. A discipline-specific case study shows the potential of the KNOMAD methodology.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
A critical review of Knowledge-Based Engineering: An identification of research challenges
TL;DR: Key findings include the necessity for improved methodological support and adherence, the need for a quantitative framework to assess the viability and success of KBE development and implementation projects, and the opportunity to move towards mass customization approaches through distributed deployment of K BE in the extended enterprise.
454
Smart product design and production control for effective mass customization in the Industry 4.0 concept
TL;DR: In this article, the authors present various techniques that aid the design process of individualized products and organization of their production in the context of realization of the mass customization strategy, which allows a shortened time of development for a new product.
An ontology-oriented knowledge methodology for process planning in additive layer manufacturing
TL;DR: The differences between geometric and dimensional tolerance fabrication is considered in the generated methodology and the knowledge needed to aid all decisions is expressed utilizing the proposed ontology.
56
•Journal Article
Knowledge Based Engineering: Notion, Approaches and Future Trends
TL;DR: The objective of the review paper is to identify the foundation and research issues of KBE in the light of parametric, function based, web-oriented modeling.
Transforming expertise into Knowledge-Based Engineering tools
TL;DR: There is a need for further research on the knowledge sourcing KBE aspect and the integration of KBE systems and AI implementations as a potential solution to develop the extended KBE development process requested by the industry.
40
References
A Dynamic Theory of Organizational Knowledge Creation
TL;DR: In this paper, the authors propose a paradigm for managing the dynamic aspects of organizational knowledge creating processes, arguing that organizational knowledge is created through a continuous dialogue between tacit and explicit knowledge.
A translation approach to portable ontology specifications
TL;DR: This paper describes a mechanism for defining ontologies that are portable over representation systems, basing Ontolingua itself on an ontology of domain-independent, representational idioms.
14.1K
Review: Knowledge management and knowledge management systems: conceptual foundations and research issues
Maryam Alavi,Dorothy E. Leidner +1 more
TL;DR: The objective of KMS is to support creation, transfer, and application of knowledge in organizations by promoting a class of information systems, referred to as knowledge management systems.
Ontology Development 101: A Guide to Creating Your First Ontology
Natalya F. Noy,Deborah L. McGuinness +1 more
- 01 Jan 2002
TL;DR: An ontology defines a common vocabulary for researchers who need to share information in a domain that includes machine-interpretable definitions of basic concepts in the domain and relations among them.
Ontologies: principles, methods and applications
TL;DR: This paper outlines a methodology for developing and evaluating ontologies, first discussing informal techniques, concerning such issues as scoping, handling ambiguity, reaching agreement and producing definitions, and considers, a more formal approach.