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Please use this identifier to cite or link to this item: https://doi.org/10.1109/COASE.2005.1506739
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dc.titleBenchmarking for decision making in rapid prototyping systems
dc.contributor.authorMahesh, M.
dc.contributor.authorFuh, J.Y.H.
dc.contributor.authorWong, Y.S.
dc.contributor.authorLoh, H.T.
dc.date.accessioned2014-06-19T05:32:35Z
dc.date.available2014-06-19T05:32:35Z
dc.date.issued2005
dc.identifier.citationMahesh, M., Fuh, J.Y.H., Wong, Y.S., Loh, H.T. (2005). Benchmarking for decision making in rapid prototyping systems. Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005 2005 : 19-24. ScholarBank@NUS Repository. https://doi.org/10.1109/COASE.2005.1506739
dc.identifier.isbn0780394267
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/73222
dc.description.abstractThis paper addresses an integrated rapid prototyping decision-making system (IRPDMS) based on fuzzy decision and benchmarking for selecting appropriate rapid prototyping and manufacturing (RP&M) processes. Data sets captured from benchmarking different RP&M processes are used in decision-making. The proposed IRPDMS provides decision support while interacting with an earlier developed benchmark database. Issues on standardizations and the purpose of using such standardized information datasets for offering decision support are discussed. Selection of five RP&M processes namely stereolithography (SLA), selective laser sintering (SLS), fused deposition modeling (FDM), laminated object manufacturing (LOM) and direct laser sintering (DLS) using the proposed IRPDMS is presented for the purpose of demonstration. © 2005 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/COASE.2005.1506739
dc.sourceScopus
dc.subjectBenchmarked database
dc.subjectBenchmarking
dc.subjectDecision support
dc.subjectFuzzy
dc.subjectRapid prototyping
dc.typeConference Paper
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1109/COASE.2005.1506739
dc.description.sourcetitleProceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005
dc.description.volume2005
dc.description.page19-24
dc.identifier.isiut000233686000004
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