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Experiments for multi-stage processes
Department of Mathematical Sciences, The Norwegian University of Science and Technology, Trondheim.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0003-4222-9631
2015 (English)In: Quality Technology & Quantitative Management, ISSN 1684-3703, E-ISSN 1811-4857, Vol. 12, no 1, p. 13-28Article in journal (Refereed) 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

Place, publisher, year, edition, pages
2015. Vol. 12, no 1, p. 13-28
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-3388Local ID: 1363a035-3d26-4dd8-8f5e-ef4ed8852b96OAI: oai:DiVA.org:ltu-3388DiVA, id: diva2:976246
Note
Validerad; 2015; Nivå 2; 20150216 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-03-16Bibliographically approved

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Kulahci, Murat

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