Experimental design for product and process design and development

Research output: Contribution to journalArticlepeer-review

110 Scopus citations


The design of new products, or the improvement of existing ones, as well as the design and development of manufacturing processes to produce them, are crucial activities in most industrial organizations. Engineers and scientists play a critical role in these activities, and the efficiency and effectiveness with which the development process is performed are often a key factor in organizational success. Statistically designed experiments are an important component of product and process design and development. The last 20 years have seen many new developments in experimental design, accompanied by a significant growth of applications in engineering. Typical experimental design application areas include process and product characterization, achieving variability reduction, control and stability, process optimization and designing processes and products to achieve robustness. This presentation focuses on these applications, surveying and discussing contemporary methodology. Examples are given that illustrate applying these techniques in practice.

Original languageEnglish (US)
Pages (from-to)159-177
Number of pages19
JournalJournal of the Royal Statistical Society Series D: The Statistician
Issue number2
StatePublished - 1999


  • Combined array designs
  • Multiple-response optimization
  • Response model
  • Response surfaces
  • Robust parameter design

ASJC Scopus subject areas

  • Statistics and Probability


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