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

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

    Research output: Contribution to journalArticlepeer-review

    24 Scopus citations


    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 languageBritish English
    Pages (from-to)2078-2087
    Number of pages10
    JournalProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
    Issue number11
    StatePublished - Nov 2011


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


    Dive into the research topics of 'Design of Experiments for non-manufacturing processes: Benefits, challenges and some examples'. Together they form a unique fingerprint.

    Cite this