In the quest for continuous quality improvement for both products and processes, design of experiments based on Shainin’s Variables Search is still playing a pivotal role among engineers and quality control practitioners. Briefly describes the Variables Search Designs formulated and promoted by Dorian Shainin for identifying the most critical variables which influence the process performance. In order to illustrate the potential of this powerful method, a simple paper helicopter experiment was carried out by the author. The results of the study have shown that Shainin’s Variables Search Design is a powerful tool for identifying the key process variables and therefore should be utilised by the engineering fraternity in manufacturing organisations as a problem‐solving tool.
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1 August 1999
This article was originally published in
Logistics Information Management
Research Article|
August 01 1999
Spotting the key variables using Shainin’s Variables Search Design
Jiju Antony
Jiju Antony
Senior Teaching Fellow at Warwick Manufacturing Group, International Manufacturing Centre, University of Warwick, Coventry, UK.
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Publisher: Emerald Publishing
Online ISSN: 1758-7948
Print ISSN: 0957-6053
© MCB UP Limited
1999
Logistics Information Management (1999) 12 (4): 325–331.
Citation
Antony J (1999), "Spotting the key variables using Shainin’s Variables Search Design". Logistics Information Management, Vol. 12 No. 4 pp. 325–331, doi: https://doi.org/10.1108/09576059910284140
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