1999
DOI: 10.1007/978-1-4612-1398-7
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Graphical Methods for the Design of Experiments

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Cited by 23 publications
(21 citation statements)
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“…In this regard, the inherence of early-stage design knowledge leads to a general multiple-criteria approach by examining the association under multiple, potentially conflicting requirements and creative resolutions. However, the desired methods for design behavior tend to share such characteristics as decomposable, discrete, deterministic, disembodied and linear, while the real world is convoluted in nonlinear, physically-constrained and messy situations [4]. This may fully or partially be resolved by using such technique as design heuristics for qualitative and/or quantitative reasoning.…”
Section: Related Workmentioning
confidence: 98%
“…In this regard, the inherence of early-stage design knowledge leads to a general multiple-criteria approach by examining the association under multiple, potentially conflicting requirements and creative resolutions. However, the desired methods for design behavior tend to share such characteristics as decomposable, discrete, deterministic, disembodied and linear, while the real world is convoluted in nonlinear, physically-constrained and messy situations [4]. This may fully or partially be resolved by using such technique as design heuristics for qualitative and/or quantitative reasoning.…”
Section: Related Workmentioning
confidence: 98%
“…Detailed reviews about the theory of a design of experiments can be found in Ref. [17]. Results of the DOE showed that a variation in the contact pressure by varying the clamping force had no influence for the given values and thus was neglected.…”
Section: Measurementmentioning
confidence: 99%
“…The desired methods for design behavior tend to share characteristics that are decomposable, discrete, deterministic, disembodied, and linear. However, in reality they are convoluted in nonlinear, physically constrained, and messy situations (Barton, 1999). This may be fully or partially resolved with techniques such as design heuristics for qualitative and/or quantitative reasoning.…”
Section: Repertory Gridsmentioning
confidence: 99%