Please use this identifier to cite or link to this item:
https://doi.org/10.1007/s00170-005-0201-z
Title: | A Six-sigma approach for benchmarking of RP&M processes |
Authors: | Mahesh, M. Wong, Y.S. Fuh, J.Y.H. Loh, H.T. |
Keywords: | Benchmarking Decision support Process characterization Process optimization Six-sigma |
Issue Date: | Nov-2006 |
Source: | Mahesh, 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 |
Abstract: | This 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. |
Source Title: | International Journal of Advanced Manufacturing Technology |
URI: | http://scholarbank.nus.edu.sg/handle/10635/59266 |
ISSN: | 02683768 |
DOI: | 10.1007/s00170-005-0201-z |
Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
SCOPUSTM
Citations
29
checked on Apr 2, 2018
WEB OF SCIENCETM
Citations
20
checked on Apr 2, 2018
Page view(s)
43
checked on Mar 11, 2018
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.