IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v36y2009i9p1037-1054.html
   My bibliography  Save this article

Analysis of robust design experiments with time-dependent ordinal response characteristics: a quality improvement study from the horticulture industry

Author

Listed:
  • N. R. Parsons
  • S. G. Gilmour
  • R. N. Edmondson

Abstract

An approach to the analysis of time-dependent ordinal quality score data from robust design experiments is developed and applied to an experiment from commercial horticultural research, using concepts of product robustness and longevity that are familiar to analysts in engineering research. A two-stage analysis is used to develop models describing the effects of a number of experimental treatments on the rate of post-sales product quality decline. The first stage uses a polynomial function on a transformed scale to approximate the quality decline for an individual experimental unit using derived coefficients and the second stage uses a joint mean and dispersion model to investigate the effects of the experimental treatments on these derived coefficients. The approach, developed specifically for an application in horticulture, is exemplified with data from a trial testing ornamental plants that are subjected to a range of treatments during production and home-life. The results of the analysis show how a number of control and noise factors affect the rate of post-production quality decline. Although the model is used to analyse quality data from a trial on ornamental plants, the approach developed is expected to be more generally applicable to a wide range of other complex production systems.

Suggested Citation

  • N. R. Parsons & S. G. Gilmour & R. N. Edmondson, 2009. "Analysis of robust design experiments with time-dependent ordinal response characteristics: a quality improvement study from the horticulture industry," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(9), pages 1037-1054.
    • Handle: RePEc:taf:japsta:v:36:y:2009:i:9:p:1037-1054
    DOI: 10.1080/02664760802566796
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/02664760802566796
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02664760802566796?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. J. A. Nelder & Y. Lee, 1991. "Generalized linear models for the analysis of taguchi‐type experiments," Applied Stochastic Models and Data Analysis, John Wiley & Sons, vol. 7(1), pages 107-120, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stella Cheung, 1996. "Provincial Credit Rating in Canada: An Ordered Probit Analysis," Staff Working Papers 96-6, Bank of Canada.
    2. Rossella Berni & Lorenzo Piattoli & Christine Michaela Anderson-Cook & Lu Lu, 2021. "Split-plot designs and multi-response process optimization: a comparison between two approaches," Econometrics Working Papers Archive 2021_17, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    3. Afrânio M.C. Vieira & Roseli A. Leandro & Clarice G.B. Dem�trio & Geert Molenberghs, 2011. "Double generalized linear model for tissue culture proportion data: a Bayesian perspective," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(8), pages 1717-1731, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:japsta:v:36:y:2009:i:9:p:1037-1054. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJAS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.