Barriers faced by engineers when applying design of experiments
Author:
Tanco Martín,Viles Elisabeth,Ilzarbe Laura,Jesus Alvarez Ma
Abstract
PurposeThe purpose of this article is to provide an extensive review of the barriers faced by engineers when applying design of experiments (DoE). The aim is to help new practitioners learn from the past and avoid possible barriers that they may encounter when applying DoE in industry.Design/methodology/approachAn exhaustive literary review was carried out to find articles in which hindrances to the application of DoE were mentioned. The information is organised and grouped into 16 barriers with this end in mind.FindingsThe 16 barriers can be classified into three different groups: business barriers; educational barriers; and technical barriers. It is shown that DoE can be successfully applied without overcoming every barrier, although it is inconvenient to do so.Practical implicationsAlthough DoE is commonly found in statistics and quality literature, it is clearly underused in industry. The paper brings together ideas from those with experience in DoE to detect the reasons behind this anomaly.Originality/valueVery little material has been published regarding the difficulty of applying DoE. Unfortunately, what is available is repetitive, unstructured and incomplete. The paper is intended to encourage discussion between practitioners and experts, in order to find a way to define, categorise and eventually overcome the most problematic barriers.
Subject
Strategy and Management,General Business, Management and Accounting,Business and International Management,General Decision Sciences
Reference51 articles.
1. Amstong, R.P., Box, G.E.P., Godfrey, A.B., Hahn, G.J., Hooper, J.H., Hunter, J.S., Mackay, J., Moore, D.S., Snee, R.D., Tribus, M. and Wangen, L.E. (1990), “Commentary: is there really a communications gap between statisticians and engineers?”, Technometrics, Vol. 32, pp. 249‐74. 2. Anderson, M.J. and Kraber, S.L. (1999), “Eight keys to successful DoE”, Quality Digest, Vol. 19. 3. Anderson‐Cook, C. (2006), “What and when to randomize”, Quality Progress, Vol. 39, pp. 59‐62. 4. Antony, J. (1999), “Ten useful and practical tips for making your industrial experiments successful”, The TQM Magazine, Vol. 11, pp. 252‐6. 5. Antony, J. (2002), “Training for design of experiments using a catapult”, Quality and Reliability Engineering International, Vol. 18, pp. 29‐35.
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