Aim: To investigate methods that can be used to predict and manage the effects of
manufacturing variability on product quality during the design process.
Methodology: The preliminary investigation is a review and analysis of probabilistic methods and
quality metrics. Based on this analysis, convenient robustification methods are
developed. In addition, the nature of the flow of variability in a system is considered.
This is then used to ascertain the information needed for an input variable when
predicting the quality of a proposed design.
The second, and major, part of the investigation is a case-by-case analysis of a
collection of manufacturing operations and material properties. Each is initially
analysed from first principles. On completion, the fundamental causes of variability of
the key characteristic(s) are identified. Where possible, the expected variability for each
of those characteristics has been determined. Where this determination was not possible,
qualitative conclusions about the variability are made instead. In each case, findings on
the prediction and management of manufacturing variability are made.
| Identifer | oai:union.ndltd.org:ADTP/216595 |
| Date | January 2005 |
| Creators | Steele, Clint, n/a |
| Publisher | Swinburne University of Technology. |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
| Rights | http://www.swin.edu.au/), Copyright Clint Steele |
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