Data · dataset · 2015
Constructing General Orthogonal Fractional Factorial Split-Plot Designs
Listed in DataCite
While the orthogonal design of split-plot fractional factorial experiments has received much attention already, there are still major voids in the literature.
Description
First, designs with one or more factors acting at more than two levels have not yet been considered. Second, published work on nonregular fractional factorial split-plot designs was either based only on Plackett–Burman designs, or on small nonregular designs with limited numbers of factors.
In this article, we present a novel approach to designing general orthogonal fractional factorial split-plot designs. One key feature of our approach is that it can be used to construct two-level designs as well as designs involving one or more factors with more than two levels. Moreover, the approach can be used to create two-level designs that match or outperform alternative designs in the literature, and to create two-level designs that cannot be constructed using existing methodology.
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Our new approach involves the use of integer linear programming and mixed integer linear programming, and, for large design problems, it combines integer linear programming with variable neighborhood search. We demonstrate the usefulness of our approach by constructing two-level split-plot designs of 16–96 runs, an 81-run three-level split-plot design, and a 48-run mixed-level split-plot design. Supplementary materials for this article are available online.
Links
Where it is published
- Repository landing page tandf.figshare.com/articles/dataset/Constructing_General_Orthogonal_Fractional_Fa… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.1606305 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
license · from DataCite
- IsSupplementTo 10.1080/00401706.2014.958198 doi.org/10.1080/00401706.2014.958198 ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.1606305 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.1606305 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Biological sciences · Health sciences · Mathematics
- From keywords
- Chemistry · Life Sciences · Mathematics & Statistics
Provenance · 1 source records, 14 field assertions
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|---|---|---|---|
| DataCite | 10.6084/m9.figshare.1606305 | 15 d ago | JSON v1 |
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| concepts[field].fos:mathematics | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Chemistry'] |
| concepts[field].local:field:life-sciences | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Biological Sciences'] |
| concepts[field].local:field:mathematics-statistics | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Mathematics'] |
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