Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/87339
DC FieldValue
dc.titleManaging quality & reliability with less information
dc.contributor.authorGanesh, N.
dc.contributor.authorLu, Y.
dc.contributor.authorDen Ouden, E.
dc.contributor.authorBrombacher, A.C.
dc.date.accessioned2014-10-07T10:26:59Z
dc.date.available2014-10-07T10:26:59Z
dc.date.issued2005
dc.identifier.citationGanesh, N.,Lu, Y.,Den Ouden, E.,Brombacher, A.C. (2005). Managing quality & reliability with less information. Proceedings - Annual Reliability and Maintainability Symposium : 379-384. ScholarBank@NUS Repository.
dc.identifier.issn0149144X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/87339
dc.description.abstractProduct development is becoming increasingly complex, especially so in the fast paced and innovative consumer electronics industry. The conflicting trends of innovation, time pressure, complex business processes and increasing customer implies the need for different types of Product Development Processes (PDPs). Hence different quality tools are needed throughout the lifecycle. Currently the most common quality tools used in product development are QFD, FMEA and Design Rules. They require very detailed and thorough information as well as precise customer specifications. Whether the tools are usable in current product development (highly dynamic) lifecycles is still questionable. In consumer electronics industry the fundamental factors that are usually assumed to be fixed such as socio-economic, choice of technology and industrial process can vary as much as the typical product development and manufacturing process. Hence these factors must be considered up front when making decisions as they can and will impact the product reliability. This paper demonstrates that the Reliability and Quality Matrix (RQM), which was proposed by some of the authors, was able to address the reduction of uncertainty in the sub-areas of product technology (parts reliability) and industrial process (process reliability). However as it did not address the socio-economic factors and other sub-factors, the effectiveness was limited. More then 90% of the risks in first-of-kind products are due to these factors. To improve the effectiveness of RQM, the logical step would be to increase the uncertainty coverage. But doing this with the same level of precise information would increase the time required which is the main constraining factor in innovative PDP. This paper shows that the loss in precision is more compensated by the increase in accuracy. RQM is redesigned as RQM Lite in this paper. A comparison study is performed by applying RQM and RQM Lite on the same projects and it was found that a "quick and dirty" approach is preferred to having nothing at all. © 2005 IEEE.
dc.sourceScopus
dc.subjectIterative PDF
dc.subjectProduct Lifecycle
dc.subjectQuality & Reliability Model
dc.typeConference Paper
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.sourcetitleProceedings - Annual Reliability and Maintainability Symposium
dc.description.page379-384
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Page view(s)

74
checked on Aug 17, 2019

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.