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Applying shainin's variables search methodology in aerospace applications

  • Andrew Thomas
  • , Jiju Antony
  • Cardiff University

Research output: Contribution to specialist publicationArticle

13 Scopus citations

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 languageBritish English
Pages184-191
Number of pages8
Volume24
No2
Specialist publicationAssembly Automation
DOIs
StatePublished - 2004

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Component manufacturing
  • Decision theory
  • Design and development
  • Joining processes
  • Statistical analysis

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