Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/63112
DC Field | Value | |
---|---|---|
dc.title | Economical experimentation via 'lean design' | |
dc.contributor.author | Goh, T.N. | |
dc.date.accessioned | 2014-06-17T07:00:19Z | |
dc.date.available | 2014-06-17T07:00:19Z | |
dc.date.issued | 1996 | |
dc.identifier.citation | Goh, T.N. (1996). Economical experimentation via 'lean design'. Quality and Reliability Engineering International 12 (5) : 383-388. ScholarBank@NUS Repository. | |
dc.identifier.issn | 07488017 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/63112 | |
dc.description.abstract | In industrial applications of design of experiments, practical constraints in resources such as budget, time, materials and manpower could lead to difficulties in completing an experiment even of moderate size. This problem can be addressed by an approach referred to as 'lean design', with which no more than a bare minimum number of response values are required, and the results of a lean design experiment can be improved incrementally up to a point identical to what can be obtained from a regular design. A numerical example illustrates both the principles and applications of this cost-effective approach to experimentation. | |
dc.source | Scopus | |
dc.subject | Design of experiments | |
dc.subject | Fractional factorials | |
dc.subject | Lean design | |
dc.subject | Missing data | |
dc.subject | Screening experiments | |
dc.subject | Sequential experimentation | |
dc.subject | Taguchi methods | |
dc.type | Article | |
dc.contributor.department | INDUSTRIAL & SYSTEMS ENGINEERING | |
dc.description.sourcetitle | Quality and Reliability Engineering International | |
dc.description.volume | 12 | |
dc.description.issue | 5 | |
dc.description.page | 383-388 | |
dc.description.coden | QREIE | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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