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The Dodge‐Romig double sampling plans based on fuzzy optimization

The Dodge‐Romig double sampling plans based on fuzzy optimization Considers that the problem of determining the Dodge‐Romig lot tolerance per cent defective (LTPD) double sampling plan (DSP) under the fuzzy environment satisfies the consumer’s risk closely and is an extension of Chakraborty’s work. Models the problem as fuzzy mathematical programming (FMP). A linear membership function and the minimum operator are assumed in FMP. The solution of the proposed model has a smaller average total inspection (ATI) than those of the traditional Dodge‐Romig LTPD DSP and Chakraborty’s. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Quality Science Emerald Publishing

The Dodge‐Romig double sampling plans based on fuzzy optimization

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References (15)

Publisher
Emerald Publishing
Copyright
Copyright © 1997 MCB UP Ltd. All rights reserved.
ISSN
1359-8538
DOI
10.1108/13598539710159086
Publisher site
See Article on Publisher Site

Abstract

Considers that the problem of determining the Dodge‐Romig lot tolerance per cent defective (LTPD) double sampling plan (DSP) under the fuzzy environment satisfies the consumer’s risk closely and is an extension of Chakraborty’s work. Models the problem as fuzzy mathematical programming (FMP). A linear membership function and the minimum operator are assumed in FMP. The solution of the proposed model has a smaller average total inspection (ATI) than those of the traditional Dodge‐Romig LTPD DSP and Chakraborty’s.

Journal

International Journal of Quality Science – Emerald Publishing

Published: Mar 1, 1997

Keywords: Mathematical programming; Methods; Quality control

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