Design of Experiments for non-manufacturing processes: Benefits, challenges and some examples

J. Antony, S. Coleman, Douglas Montgomery, M. J. Anderson, R. T. Silvestrini

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

Design of Experiments (DoE) is a powerful technique for process optimization that has been widely deployed in almost all types of manufacturing processes and is used extensively in product and process design and development. There have not been as many efforts to apply powerful quality improvement techniques such as DoE to improve non-manufacturing processes. Factor levels often involve changing the way people work and so have to be handled carefully. It is even more important to get everyone working as a team. This paper explores the benefits and challenges in the application of DoE in non-manufacturing contexts. The viewpoints regarding the benefits and challenges of DoE in the non-manufacturing arena are gathered from a number of leading academics and practitioners in the field. The paper also makes an attempt to demystify the fact that DoE is not just applicable to manufacturing industries; rather it is equally applicable to non-manufacturing processes within manufacturing companies. The last part of the paper illustrates some case examples showing the power of the technique in non-manufacturing environments.

Original languageEnglish (US)
Pages (from-to)2078-2087
Number of pages10
JournalProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Volume225
Issue number11
DOIs
StatePublished - Nov 1 2011

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Keywords

  • Design of Experiments (DoE)
  • Non-manufacturing processes
  • Process optimization
  • Product and process design and development

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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