Top 50 Cited Paper in the Assembly Automation Journal

Prize: Prize (including medals and awards)

Professor David Sanders (Recipient), Yong Chai Tan (Recipient), Ian Rogers (Recipient) & Dr Giles Tewkesbury (Recipient)

School of Mechanical & Design Engineering

Gems Sensors and Controls
Universiti Tunku Abdul Rahman (UTAR)

Award for an entry in the 'Top 50 Cited Paper in the Assembly Automation Journal'

Awarded date	2020
Degree of recognition	International
Granting Organisations	Emerald Publishing Limited

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An expert system for automatic design-for-assembly By:Sanders, D (Sanders, David)[ 1 ] ; Tan, YC (Tan, Yong Chai)[ 2 ] ; Rogers, I (Rogers, Ian)[ 3 ] ; Tewkesbury, GE (Tewkesbury, Giles E.) View Web of Science ResearcherID and ORCID ASSEMBLY AUTOMATION Volume: 29 Issue: 4 Pages: 378-388 DOI: 10.1108/01445150910987808 Published: 2009 Document Type:Article View Journal Impact Abstract Purpose - The purpose of this paper is to present a multi-expert system that can provide designers with suggestions for improvement. The multi-expert system can analyse a design and provide designers with ideas for 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: computer-aided design (CAD) expert, automated assembly expert, manual assembly expert and design analysis expert. The design analysis expert includes a sub-system to collate the information from the assembly experts and to provide costs and advice. Findings - The paper finds that the approach and the systems can reduce manufacturing costs and lead times. Research limitations/implications - A knowledge-based reckoning approach to design-for-assembly automation is used. The approach and systems can reduce manufacturing costs and lead times. The system can estimate assembly time and cost for manual or automatic assembly and select suitable assembly techniques. Practical implications - The system can estimate assembly time and cost for manual or automatic assembly and select a suitable assembly technique. Originality/value - The new system models assembly, product and process design using a natural approach for capturing intelligence. The new approach categorised automated assembly and manual assembly into separate individual experts. Intelligence and knowledge from each is captured and embedded within the individual expert that represented the process. This approach enabled greater flexibility and made the sub-systems easier to modify upgrade, extend and reuse. Keywords Author Keywords:Assembly; Automation; Design for assembly KeyWords Plus:KNOWLEDGE-BASED APPROACH; RECIRCULATION AIRLIFT REACTORS; CONCURRENT PRODUCT DEVELOPMENT; ROBOT COMMAND LIBRARY; ORIENTED DESIGN; WHEELCHAIR SYSTEMS; NEURAL-NETWORKS; USERS; SIMULATION; ALGORITHM Author Information Reprint Address: University of Portsmouth Univ Portsmouth, Syst Engn Res Grp, Portsmouth, Hants, England. Corresponding Address: Sanders, D (corresponding author) Show more Univ Portsmouth, Syst Engn Res Grp, Portsmouth, Hants, England. Addresses: Show more [ 1 ]‎ Univ Portsmouth, Syst Engn Res Grp, Portsmouth, Hants, England Show more [ 2 ]‎ Univ Tunku Abdul Rahman, Fac Sci & Engn, Kuala Lumpur, Malaysia [ 3 ]‎ MotionTouch Ltd, Cranleigh, England E-mail Addresses:david.sanders@port.ac.uk Publisher EMERALD GROUP PUBLISHING LIMITED, HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND

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Top 50 Cited Paper in the Assembly Automation Journal

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