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

Record type: Article

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.

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Citation

Parsons, N.R., Gilmour, S.G. and Edmondson, R.N. (2009) Analysis of robust design experiments with time-dependent ordinal response characteristics: a quality improvement study from the horticulture industry Journal of Applied Statistics, 36, (9), pp. 1037-1054. (doi:10.1080/02664760802566796).

More information

Published date: September 2009
Keywords: joint mean-dispersion model, ordinal scores, proportional odds model, robust product design, two-stage analysis
Organisations: Statistics

Identifiers

Local EPrints ID: 174547
URI: http://eprints.soton.ac.uk/id/eprint/174547
ISSN: 0266-4763
PURE UUID: 5f08aed4-c006-409a-b086-ea59d7639f5c

Catalogue record

Date deposited: 14 Feb 2011 14:27
Last modified: 18 Jul 2017 12:11

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Contributors

Author: N.R. Parsons
Author: S.G. Gilmour
Author: R.N. Edmondson

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