Statistical design of experiments in industrial practice
type: Item
instance of: scholarly article
title: Statistical design of experiments in industrial practice
zbMATH Open document ID: 0818.62087
author: Claus Weihs
author: Manfred Berres
author: Yves L. Grize
published in: Surveys on Mathematics for Industry
publication date: 1995-07-04T00:00:00Z
review text: In chemical industry, statistical design is more and more widely used for the examination of industrial and biological processes and products. This way, the experimenter is supported in trying to develop products with optimal properties and reliable processes to produce such products with minimal effort. This paper demonstrates the practice of statistical experimental design in one big chemical and phamaceutical company, Ciba- Geigy in Basel, Switzerland. All the presented examples arose during consulting activities of the Mathematical Applications Group in Ciba. The plan of the paper is as follows. Section 2 will give an introduction into experimental design and general strategies for design choice. In Section 3 experimental design in both industrial and biological applications at Ciba will be presented. Finally, In Section 4 the designs used in the two fields will be compared. In the companion papers, \textit{M. Abt} and \textit{F. Pukelsheim} [ibid., 27- 33 (1995; see the following entry, Zbl 0818.62088)] and \textit{M. Abt} et al. [ibid., 35-47 (1995; see the entry below, Zbl 0818.62089)] demonstrate the theory and application of Taguchi methods in detail. In Section 3.3 of this paper the corresponding designs are briefly discussed, too.
Mathematics Subject Classification ID: 62N99
Mathematics Subject Classification ID: 62K99
Mathematics Subject Classification ID: 62P99
zbMATH DE Number: 770188
zbMATH Keywords: screening design
zbMATH Keywords: fractional factorial design
zbMATH Keywords: optimal design
zbMATH Keywords: sequential design
zbMATH Keywords: risk analysis
zbMATH Keywords: control factors
zbMATH Keywords: product optimization
zbMATH Keywords: process optimization
zbMATH Keywords: industrial applications
zbMATH Keywords: pharmaceutical applications
zbMATH Keywords: biological applications
zbMATH Keywords: Taguchi methods
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 770188