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Using factorial design and multivariate analysis when experimenting in a continuous process
Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Industriell Ekonomi.ORCID-id: 0000-0003-1473-3670
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Matematiska vetenskaper.
2008 (engelsk)Inngår i: Quality and Reliability Engineering International, ISSN 0748-8017, E-ISSN 1099-1638, Vol. 24, nr 8, s. 983-995Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This article discusses the design and analysis of an experiment performed in a continuous process (CP). Three types of iron ore pellets are tested on two levels of a process variable in an experimental blast furnace process, using a full factorial design with replicates. A multivariate approach to the analysis of the experiment in the form of principal component analysis combined with analysis of variance is proposed. The analysis method also considers the split-plot-like structure of the experiment. The article exemplifies how a factorial design combined with multivariate analysis can be used to perform product development experiments in a CP. CPs also demand special considerations when planning, performing and analyzing experiments. The article highlights and discusses such issues and considerations, for example, the dynamic characteristic of CPs, a strategy to handle disturbances during experimentation and the need for process control during experimentation.

sted, utgiver, år, opplag, sider
2008. Vol. 24, nr 8, s. 983-995
HSV kategori
Forskningsprogram
Kvalitetsteknik; Matematisk statistik inriktning industriell statistik
Identifikatorer
URN: urn:nbn:se:ltu:diva-4129DOI: 10.1002/qre.935ISI: 000261809000012Scopus ID: 2-s2.0-61349159893Lokal ID: 20144e60-3eb4-11dd-ab50-000ea68e967bOAI: oai:DiVA.org:ltu-4129DiVA, id: diva2:976993
Merknad
Validerad; 2008; 20080620 (eri_van)Tilgjengelig fra: 2016-09-29 Laget: 2016-09-29 Sist oppdatert: 2018-07-10bibliografisk kontrollert

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