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Split-plot designs for multistage experimentation
Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Industriell Ekonomi.ORCID-id: 0000-0003-4222-9631
Department of Mathematical Sciences, The Norwegian University of Science and Technology, Trondheim.
Rekke forfattare: 22017 (engelsk)Inngår i: Journal of Applied Statistics, ISSN 0266-4763, E-ISSN 1360-0532, Vol. 44, nr 3, s. 493-510Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Most of today’s complex systems and processes involve several stages through which input or the raw material has to go before the final product is obtained. Also in many cases factors at different stages interact. Therefore, a holistic approach for experimentation that considers all stages at the same time will be more efficient. However, there have been only a few attempts in the literature to provide an adequate and easy-to-use approach for this problem. In this paper, we present a novel methodology for constructing two-level split-plot and multistage experiments. The methodology is based on the Kronecker product representation of orthogonal designs and can be used for any number of stages, for various numbers of subplots and for different number of subplots for each stage. The procedure is demonstrated on both regular and nonregular designs and provides the maximum number of factors that can be accommodated in each stage. Furthermore, split-plot designs for multistage experiments with good projective properties are also provided.

sted, utgiver, år, opplag, sider
Taylor & Francis, 2017. Vol. 44, nr 3, s. 493-510
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URN: urn:nbn:se:ltu:diva-9499DOI: 10.1080/02664763.2016.1177497ISI: 000395180200008Scopus ID: 2-s2.0-84965070360Lokal ID: 8255ca54-59f8-4d95-aa8b-52e31aa07519OAI: oai:DiVA.org:ltu-9499DiVA, id: diva2:982437
Merknad

Validerad; 2017; Nivå 2; 2017-02-24 (rokbeg)

Tilgjengelig fra: 2016-09-29 Laget: 2016-09-29 Sist oppdatert: 2018-11-15bibliografisk kontrollert

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