A framework for the requirements of capturing, storing and reusing information and knowledge in engineering design

  • Authors:

  • B. J. Hicks;S. J. Culley;R. D. Allen;G. Mullineux

  • Affiliations:

  • Department of Mechanical Engineering, Faculty of Engineering & Design, University of Bath, Bath BA2 7AY, UK;Department of Mechanical Engineering, Faculty of Engineering & Design, University of Bath, Bath BA2 7AY, UK;Department of Mechanical Engineering, Faculty of Engineering & Design, University of Bath, Bath BA2 7AY, UK;Department of Mechanical Engineering, Faculty of Engineering & Design, University of Bath, Bath BA2 7AY, UK

  • Venue:
  • International Journal of Information Management: The Journal for Information Professionals
  • Year:
  • 2002

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Abstract

Data, information and knowledge are very important commodities for organisations. The effective utilisation of these 'commodities' is increasingly the only way for organisations to achieve and sustain competitive advantage. In the field of mechanical engineering there are vast numbers of information and knowledge sources that are utilised throughout the design of an artefact or system. These may include documentation, component catalogues, past designs, new technologies, complex methodologies as well as a whole range of informal and formal sources developed through discussions and meetings. The effective utilisation and application of these information and knowledge commodities help enable the generation of feasible design alternatives and assist the decision-making process, which ultimately determines the success of the designed artefact. This paper discusses data, information and knowledge, providing formal definitions and an understanding of the relations and limitations of these resources. This understanding enables the development of better mechanisms and procedures for the capture and reuse of information and knowledge in engineering design. In particular, the approach of this work is to consider the intended reuse and level of application for knowledge in order to determine the requirements for its acquisition. Using this approach, an overall framework for the requirements of capturing, storing and reusing information and knowledge in engineering design is generated.