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A case based model to assist in the design process in the manufacture of furniture products

A case based model to assist in the design process in the manufacture of furniture products

Woon, Fei Ling, Knight, Brian, Petridis, Miltos and Ward, Graham (2002) A case based model to assist in the design process in the manufacture of furniture products. Expert Update - The Specialist Group on Artificial intelligence, 5 (2). pp. 37-43. ISSN 1465-4091

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Abstract

This paper describes progress on a project to utilise case based reasoning methods in the design and manufacture of furniture products. The novel feature of this research is that cases are represented as structures in a relational database of products, components and materials. The paper proposes a method for extending the usual "weighted sum" over attribute similarities for a ·single table to encompass relational structures over several tables. The capabilities of the system are discussed, particularly with respect to differing user objectives, such as cost estimation, CAD, cutting scheme re-use, and initial design. It is shown that specification of a target case as a relational structure combined with suitable weights can fulfil several user functions. However, it is also shown that some user functions cannot satisfactorily be specified via a single target case. For these functions it is proposed to allow the specification of a set of target cases. A derived similarity measure between individuals and sets of cases is proposed.

Item Type: Article
Uncontrolled Keywords: Case Based Reasoning, CBR, similarity measure, relational structures, design and manufacture
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TJ Mechanical engineering and machinery
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Computer & Computational Science Research Group
School of Computing & Mathematical Sciences > Department of Computer Science
Related URLs:
Last Modified: 14 Oct 2016 09:01
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/577

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