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A Design for Assembly Application with Dynamic Information Retrieval from Case Database
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. University of Sao Paulo.ORCID iD: 0000-0001-9005-0543
Universidade do Estado de Santa Catarina.ORCID iD: 0000-0002-9691-8750
Universidade do Estado de Santa Catarina.ORCID iD: 0000-0002-9700-0909
2013 (English)In: Intelligent Manufacturing Systems / [ed] Marcos de Sales Guerra Tsuzuki and José Reinaldo Silva, 2013, Vol. 11, 186-191 p.Conference paper (Refereed)
Abstract [en]

Design for Assembly (DFA) is a Concurrent Engineering constituent that gained a lot of attention due to fast and measurable benets. The main principle of DFA is to foresee assembly problems at the design stage based on the experience regarding functionality, materials and machine availability. The work presented in this paper, named RFA - Redesign for Assembly, adds a way to explicitly register and retrieve experiences as part of the design process. It starts from an initial design, then RFA leads the designer through a detailed assessment towards an improved design according to previous experiences. Experience representation was done using a Group Technology classication concept that helps assign a primary-key for a Case Based Teaching underlying system. A supporting system has been implemented in order to try out RFA. DFA scholars have used RFA and proved that experience retrieval is easily and intuitively incorporated in the design process. The paper presents a study about the DFA methodology, reviews existing solutions (methods and software) from the literature and details the RFA architecture, implementation and tests. RFA shows potential for a new design culture based on knowledge sharing, but also, as a repository for a very valuable asset, i.e. problem-oriented assembly-related design experience.

Place, publisher, year, edition, pages
2013. Vol. 11, 186-191 p.
Keyword [en]
Decision Support, Knowledge-Based Systems, Agile Manufacturing
National Category
Computer Systems
Research subject
Computer Science
URN: urn:nbn:se:kau:diva-40672DOI: 10.3182/20130522-3-BR-4036.00054ISBN: 978-3-902823-33-5 (print)OAI: diva2:905710
11th IFAC Workshop on Intelligent Manufacturing Systems 22-24 May 2013, Sao Paulo, Brazil.
Available from: 2016-02-23 Created: 2016-02-23 Last updated: 2016-03-11Bibliographically approved

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Iwaya, L HRosso, R S UHounsell, M S
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