Browsing by Author "Case, K."

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    A framework to integrate design knowledge reuse and requirements management in engineering design
    (Elsevier Science B.V., Amsterdam., 2008-08-13T00:00:00Z) Baxter, David; Gao, James X.; Case, K.; Harding, J.; Young, R.; Cochrane, Sean; Dani, S.
    This paper presents a framework to integrate requirements management and design knowledge reuse. The research approach begins with a literature review in design reuse and requirements management to identify appropriate methods within each domain. A framework is proposed based on the identified requirements. The framework is then demonstrated using a case study example: vacuum pump design. Requirements are presented as a component of the integrated design knowledge framework. The proposed framework enables the application of requirements management as a dynamic process, including capture, analysis and recording of requirements. It takes account of the evolving requirements and the dynamic nature of the interaction between requirements and product structure through the various stages of product development. (C) 2007 Elsevier Ltd. All rights reserved.
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    Manufacturing knowledge verification in design support systems
    (Taylor & Francis, 2009-12-01T00:00:00Z) Cochrane, Sean; Young, R.; Case, K.; Harding, J.; Gao, James X.; Dani, S.; Baxter, David
    This paper identifies the need for a verification methodology for manufacturing knowledge in design support systems; and proposes a suitable methodology based on the concept of ontological commitment and the PSL ontology (ISO/CD18629). The use of the verification procedures within an overall system development methodology is examined, and an understanding of how various categories of manufacturing knowledge (typical to design support systems) map onto the PSL ontology is developed. This work is also supported by case study material from industrial situations, including: the casting and machining of metallic components. The PSL ontology was found to support the verification of most categories of manufacturing knowledge, and was shown to be particularly suited to process planning representations. Additional concepts and verification procedures were however needed to verify relationships between products and manufacturing processes. Suitable representational concepts and verification procedures were therefore developed, and integrated into the proposed knowledge verification methodology.