Reduction Of Cost Of Quality By Using Robust Design: A Research Methodology

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dc.contributor.author Khan, Jalal
dc.date.accessioned 2016-08-05T05:36:04Z
dc.date.available 2016-08-05T05:36:04Z
dc.date.issued 2014-10
dc.identifier.citation Khan, J. (2014).Reduction of cost of quality by using robust design: A research methodology. International Journal of Mechanical and Industrial Technology, 122-128. en_US
dc.identifier.issn 2348-7593
dc.identifier.uri http://www.aiktcdspace.org:8080/jspui/handle/123456789/1741
dc.description Keywords: robust design, cost of quality, parameter design, control factors, noise factors, signal to noise ratio, taguchi quality loss function and tolerance limit. en_US
dc.description.abstract CoQ and Taguchi Design are to be integrated together for time and resource savings and determination of important factors affecting operation, performance and cost; and quantitative recommendations for design parameters which achieve lowest cost, high quality solutions. Taguchi’s parameter design method is a powerful tool for optimizing the performance characteristic of a product/process. The aim of a parameter design experiment is to identify and design the settings of the process parameters that optimize the chosen quality characteristic and are least sensitive to noise (uncontrollable) factors. Finally methodology for reducing Cost of Quality by using robust design is to be developed. en_US
dc.language.iso en_US en_US
dc.publisher Research Publish Journals en_US
dc.relation.ispartofseries International Journal of Mechanical and Industrial Technology;Vol.2, Issue 2
dc.subject Staff Publication - SoET en_US
dc.subject Staff Publication - ME
dc.title Reduction Of Cost Of Quality By Using Robust Design: A Research Methodology en_US
dc.type Article en_US


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