liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Lean optimization using supersaturated experimental design
Linköping University, The Institute of Technology. Linköping University, Department of Science and Technology.
Volvo Technology Corporation, SE-412 88 Göteborg, Sweden.
2008 (English)In: Applied Numerical Mathematics, ISSN 0168-9274, Vol. 58, no 1Article in journal (Refereed) Published
Abstract [en]

In practice, product development implies studying numerous factors that affect the final product quality and define its cost. The selection of factors to study has been left to engineers. This work is an attempt for an opposite approach which does not require selecting a small subset of factors explicitly but allows us to briefly investigate most of the parameters using a limited number of experiments. Even more, we assume that the number of experiments can be smaller than the number of parameters. The paper focuses on statistical optimization using supersaturated experimental design. The authors present a new algorithm for exploring a multi-parameter system and performing a lean optimization procedure without spending a lot of efforts. The algorithm aims at making the industrial experimental process more efficient both from the resource consumption and the economic point of view. This is especially important in first stages of system analysis and has therefore practical application in industry where each experiment is very expensive and time-consuming. Numerical results demonstrate efficiency of the algorithm which has been tested for both theoretical and realistic models. © 2006 IMACS.

Place, publisher, year, edition, pages
2008. Vol. 58, no 1
Keyword [en]
Constrained underdetermined problem, Design of experiments, Lean optimization, Supersaturated design
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-47766DOI: 10.1016/j.apnum.2006.10.007OAI: diva2:268662
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2011-01-11

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Siomina, Iana
By organisation
The Institute of TechnologyDepartment of Science and Technology
In the same journal
Applied Numerical Mathematics
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 44 hits
ReferencesLink to record
Permanent link

Direct link