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Experiments for multi-stage processes
Department of Mathematical Sciences, The Norwegian University of Science and Technology, Trondheim.
Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Industriell Ekonomi.ORCID-id: 0000-0003-4222-9631
2015 (engelsk)Inngår i: Quality Technology & Quantitative Management, ISSN 1684-3703, E-ISSN 1811-4857, Vol. 12, nr 1, s. 13-28Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Multi-stage processes are very common in both process and manufacturing industries. In this article we present a methodology for designing experiments for multi-stage processes. Typically in these situations the design is expected to involve many factors from different stages. To minimize the required number of experimental runs, we suggest using mirror image pairs of experiments at each stage following the first. As the design criterion, we consider their projectivity and mainly focus on projectivity P ≥ 3 designs. We provide the methodology for generating these designs for processes with any number of stages and also show how to identify and estimate the effects. Both regular and non-regular designs are considered as base designs in generating the overall design

sted, utgiver, år, opplag, sider
2015. Vol. 12, nr 1, s. 13-28
HSV kategori
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URN: urn:nbn:se:ltu:diva-3388Lokal ID: 1363a035-3d26-4dd8-8f5e-ef4ed8852b96OAI: oai:DiVA.org:ltu-3388DiVA, id: diva2:976246
Merknad
Validerad; 2015; Nivå 2; 20150216 (andbra)Tilgjengelig fra: 2016-09-29 Laget: 2016-09-29 Sist oppdatert: 2018-03-16bibliografisk kontrollert

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