A framework for the requirements of capturing, storing and reusing information and knowledge in engineering design (original) (raw)
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Mario Štorga∗,a, Mansur Darlington†, Steve Culley‡ and Dorian Marjanović∗,b ∗Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Zagreb, Croatia, Tel: +385 1 6168 432, Fax: +385 1 6168 284. E-mail: amario.storga@fsb.hr, bdorian@fsb.hr †Innovative Design and Manufacturing Research Centre, University of Bath, Bath, United Kingdom, Tel: + 44 (0)1225 38 6131, Fax: +44 (0)1225 38 6928 E-mail: M.J.Darlington@bath.ac.uk ‡Faculty of Engineering and Design, University of Bath, Bath, Bath, United Kingdom, Tel: + 44 (0)1225 38 6456, Fax: +44 (0)1225 38 6928. E-mail: S.J.Culley@bath.ac.uk
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is Research Officer within the IdMRC, University of Bath. His education background includes B.Eng and M.Sc in chemical machinery and equipment, and a Ph.D in chemical engineering in China. He has research experience in the data model development for STEP (ISO10303) and ISO15926 for process industry during his PhD studentship. He started his research career in 2001 in the University of Manchester, UK and focused on the engineering information retrieval, information flow analysis and modeling, knowledge representation, document control, and specially the validation process for industry. He is now working on developing measures of information value and approaches to the support of decision-making on information retention. Llewellyn CM Tang is Research Associate in the Department of Civil and Engineering at Loughborough University working for the KIM project-Immortal Information and Through-life Knowledge Management with special interest to the information evaluation in construction and aerospace sectors. He has researched and lectured in the field of decision science since he obtained a first-class honors degree in Construction Engineering and Management and a PhD in Knowledge and Innovation Management in Hong Kong. As a scholar, he has obtained several scholarships and fellowships from a number of prestigious institutions. His research interests are artificial intelligence, cash flow forecasting, computational decision support, operational research, information processing and knowledge management. Mansur Darlington is a Research Officer in the Design Information & Knowledge Group of the Engineering IdMRC at the University of Bath. He joined the University of Bath from industry in 1997, and has a degree in Cognitive Science from the University of Exeter and a PhD in Engineering Cognition from the University of Bath. For the last ten years he has been involved in research associated with the capture and codification of engineers' design knowledge and the development of methods for supporting engineers' information needs, first in the University of Bath's Engineering Design Centre latterly in the Innovative Design & Manufacturing Research Centre. He is currently research task coordinator for Work Package 2 'Learning from Use' in the KIM Grand Challenge research project.
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