A role for "one-factor-at-a-time" experimentation in parameter design
Research in Engineering Design, ISSN: 0934-9839, Vol: 14, Issue: 2, Page: 65-74
2003
- 136Citations
- 226Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
This paper explores the role of one-at-a-time experimentation in parameter design of engineering systems. The focus is on degree of improvement achieved rather than on efficiency in estimating model parameters. The performance of adaptive one-at-a-time plans is compared with the performance of orthogonal arrays through computer simulations based on data from 66 response variables in 27 full factorial experiments described in science and engineering journals and textbooks. From the simulation results, a map of the expected gains in performance is provided as a function of the degree of pure experimental error and the strength of interactions among experimental factors. When experimental error is small (less than a quarter of the factor effects) or the interactions among control factors are large (more than one-quarter of all factor effects), an adaptive one-at-a-time strategy tends to achieve greater gains than those provided by orthogonal arrays.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=0038271644&origin=inward; http://dx.doi.org/10.1007/s00163-002-0026-9; http://link.springer.com/10.1007/s00163-002-0026-9; http://link.springer.com/content/pdf/10.1007/s00163-002-0026-9.pdf; http://link.springer.com/content/pdf/10.1007/s00163-002-0026-9; http://link.springer.com/article/10.1007/s00163-002-0026-9/fulltext.html; https://dx.doi.org/10.1007/s00163-002-0026-9; https://link.springer.com/article/10.1007/s00163-002-0026-9
Springer Science and Business Media LLC
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