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 journalArticle

12 Citations (Scopus)

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.
LanguageEnglish
Pages2078-2087
Number of pages10
JournalProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Volume225
Issue number11
DOIs
Publication statusPublished - Nov 2011

Fingerprint

Design of experiments
Product design
Process design
Industry

Keywords

  • product and process design and development
  • Design of Experiments (DoE)
  • non-manufacturing processes
  • process optimization

Cite this

Antony, J. ; Coleman, S. ; Montgomery, D. C. ; Anderson, M. J. ; Silvestrini, R. T. / Design of experiments for non-manufacturing processes : benefits, challenges and some examples. In: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 2011 ; Vol. 225, No. 11. pp. 2078-2087.
@article{04ab56b4d4a048d5aa27c21edf7e1f55,
title = "Design of experiments for non-manufacturing processes: benefits, challenges and some examples",
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.",
keywords = "product and process design and development, Design of Experiments (DoE), non-manufacturing processes, process optimization",
author = "J. Antony and S. Coleman and Montgomery, {D. C.} and Anderson, {M. J.} and Silvestrini, {R. T.}",
year = "2011",
month = "11",
doi = "10.1177/0954405411395857",
language = "English",
volume = "225",
pages = "2078--2087",
journal = "Proceedings for Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture",
issn = "0954-4054",
number = "11",

}

Design of experiments for non-manufacturing processes : benefits, challenges and some examples. / Antony, J.; Coleman, S.; Montgomery, D. C.; Anderson, M. J.; Silvestrini, R. T.

In: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 225, No. 11, 11.2011, p. 2078-2087.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Design of experiments for non-manufacturing processes

T2 - Proceedings for Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

AU - Antony, J.

AU - Coleman, S.

AU - Montgomery, D. C.

AU - Anderson, M. J.

AU - Silvestrini, R. T.

PY - 2011/11

Y1 - 2011/11

N2 - 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.

AB - 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.

KW - product and process design and development

KW - Design of Experiments (DoE)

KW - non-manufacturing processes

KW - process optimization

UR - http://www.scopus.com/inward/record.url?scp=84855953278&partnerID=8YFLogxK

U2 - 10.1177/0954405411395857

DO - 10.1177/0954405411395857

M3 - Article

VL - 225

SP - 2078

EP - 2087

JO - Proceedings for Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

JF - Proceedings for Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

SN - 0954-4054

IS - 11

ER -