Assessment of a Product Range Model concept to support design reuse using rule based systems and case based reasoning |
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| Affiliation: | 1. Research Group on Engineering Design and Manufacturing, Department of Mechanical Engineering, University of Caxias do Sul, Rua Francisco Getúlio Vargas, 1130 Caxias do Sul, RS, Brazil;2. Information System Program/BSI – Universidade Federal do Oeste do Pará, Rua Vera Paz, Campus Tapajós, Santarém, PA, Brazil;3. Wolfson School of Mechanical and Manufacturing Engineering, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK;1. School of Information Engineering, Wuhan University of Technology, Luoshi Road 122, Wuhan 430070, China;2. Key Lab. of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Luoshi Road 122, Wuhan 430070, China;3. School of Mechanical and Electronic Engineering, Wuhan University of Technology, Luoshi Road 122, Wuhan 430070, China;4. Department of Mechanical Engineering, School of Engineering, University of Birmingham, Birmingham B15 2TT, UK;1. Department of Industrial Design, College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, People’s Republic of China;2. College of Mechanical Engineering, Quzhou University, Quzhou, 324000, People''s Republic of China;3. International School of Design, Zhejiang University, Ningbo, 315100, People’s Republic of China;1. Key Laboratory of Intelligent Control and Optimization for Industrial Equipment (Dalian University of Technology), Ministry of Education, China;2. School of Control Sciences and Engineering, Dalian University of Technology, Dalian, China;3. Department of Electrical and Computer Engineering, University of Calgary, Calgary, Canada |
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| Abstract: | Knowledge reuse is recognised as a key element to support agile and effective decision-making processes during product development. The provision of information and knowledge for reuse relies on defined information structures and requires computational techniques that enable the reuse process within an integrated environment. Although, representing, saving, and sharing information is relatively well known for product modelling, it is accepted that effective and agile product development also requires knowledge sharing. For this reason, extensions of the Product Model structure are required to support specific product development process phases. This work argues that a product information model combined with extended knowledge models can provide decision support throughout the product development phases. This paper presents the results of an investigation into a specific extended knowledge model concept, named a Product Range Model (PRM), which combines both rule based systems and case based reasoning to provide product design decision support. Two product development scenarios, injection moulding and friction materials, have been selected in order to evaluate the ideas presented. For both applications the relevance of the models to support the capture and reuse of information and knowledge is stressed. |
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