2009
DOI: 10.1108/01445150910987808
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An expert system for automatic design‐for‐assembly

Abstract: Purpose-A Multi Expert System is presented that can analyse a design and provide designers with suggestions for improvement and changes to designs at an early stage in order to improve assembly later in the manufacturing process. The Multi Expert System can analyse a design and provide designers with suggestions for improvement and changes to designs at an early stage in order to improve assembly later in the manufacturing process. Design/methodology/approach-The whole system consists of four expert systems: C… Show more

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Cited by 50 publications
(31 citation statements)
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“…Much of the recent work focuses on providing computer support by using expert systems and KnowledgeBased Engineering (KBE) [14,[24][25][26][27].…”
Section: Dfa and Dfmmentioning
confidence: 99%
“…Much of the recent work focuses on providing computer support by using expert systems and KnowledgeBased Engineering (KBE) [14,[24][25][26][27].…”
Section: Dfa and Dfmmentioning
confidence: 99%
“…The many different methods of implementing AI each have their own strengths and weaknesses [9][10][11][12][13][14]. Some effort has been made in combining different methods to produce hybrid techniques with more strengths and fewer weaknesses.…”
Section: Proposed Systemmentioning
confidence: 99%
“…The research described in this paper combined ambient intelligence (AmI) (Sanders et al, 2007;Sanders, 2009e) and knowledge management (KM) technologies (Sanders and Gegov, 2006;Snidaro and Foresti, 2007) with AI (Sanders, 2009a, b;Sanders et al, , 2012aSanders and Gegov, 2013) and expert systems (Sanders et al, 2009(Sanders et al, , 2011a. That was to addresses two of the most critical problems in energy management in industrial production technologies: how to efficiently and promptly acquire and provide information online for optimising energy consumption; and how to effectively use such knowledge to support decision making.…”
Section: Introductionmentioning
confidence: 97%