Abstract
Shainin's variables search methodology (SVSM) is a powerful tool for spotting the key or critical process parameters or variables (such as Red X, Pink X and Pale Pink X) from a large list of process parameters. It has been argued that the variables search methodology developed by Dorian Shainin provides a powerful, yet simple approach that lends itself to easier implementation in an industrial environment. This paper illustrates how SVSM has been employed in identifying the influencing variables that control the joint strength of honeycomb composite tongue and slot joints within an aerospace company. The results of the study have provided the stimulus for the wider application of this approach in other business processes within the company.
| Original language | British English |
|---|---|
| Pages | 184-191 |
| Number of pages | 8 |
| Volume | 24 |
| No | 2 |
| Specialist publication | Assembly Automation |
| DOIs | |
| State | Published - 2004 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Component manufacturing
- Decision theory
- Design and development
- Joining processes
- Statistical analysis
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