Please use this identifier to cite or link to this item: https://doi.org/10.1007/s00170-005-0201-z
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dc.titleA Six-sigma approach for benchmarking of RP&M processes
dc.contributor.authorMahesh, M.
dc.contributor.authorWong, Y.S.
dc.contributor.authorFuh, J.Y.H.
dc.contributor.authorLoh, H.T.
dc.date.accessioned2014-06-17T06:09:27Z
dc.date.available2014-06-17T06:09:27Z
dc.date.issued2006-11
dc.identifier.citationMahesh, M., Wong, Y.S., Fuh, J.Y.H., Loh, H.T. (2006-11). A Six-sigma approach for benchmarking of RP&M processes. International Journal of Advanced Manufacturing Technology 31 (3-4) : 374-387. ScholarBank@NUS Repository. https://doi.org/10.1007/s00170-005-0201-z
dc.identifier.issn02683768
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/59266
dc.description.abstractThis paper presents a methodology of using six-sigma quality tools for benchmarking of rapid prototyping & manufacturing (RP&M) processes. It involves the fabrication of a geometric benchmark part and a methodology to control and identify the best performance of the process to reduce the variablity in the fabricated parts. The approach is demonstrated with a case study based on the direct laser sintering (DLS) process for prototyping using plastic powder. In the case study an identified set of six-sigma/ statistical process control tools is employed to determine and best tune factors affecting the desired outcomes of the built parts. © Springer-Verlag London Limited 2006.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s00170-005-0201-z
dc.sourceScopus
dc.subjectBenchmarking
dc.subjectDecision support
dc.subjectProcess characterization
dc.subjectProcess optimization
dc.subjectSix-sigma
dc.typeArticle
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1007/s00170-005-0201-z
dc.description.sourcetitleInternational Journal of Advanced Manufacturing Technology
dc.description.volume31
dc.description.issue3-4
dc.description.page374-387
dc.description.codenIJATE
dc.identifier.isiut000243103600020
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