Taguchi’s Loss Function Approach to Economic Design of Rectifying Single Sampling Plan by Variable with Asymmetric Quality Cost

dc.contributor.authorBanjoko, A. W.
dc.contributor.authorOyeyemi, G. M.
dc.date.accessioned2023-07-19T09:20:36Z
dc.date.available2023-07-19T09:20:36Z
dc.date.issued2013
dc.description.abstractThe quadratic Taguchi (quality) loss function has been given wide attention in the application of statistical (Economic) process control, which in most cases is always aimed at obtaining optimal setting for a process. This article is an extension of Chung-ho Chen (2005) and focuses on the use of Taguchi loss function with truncated normal probability density function in designing optimal inspection policy and economic specification limits for rectifying single sampling plan by variable with unequal costs (Cs ≠ Cw = C)en_US
dc.description.sponsorshipSelf-sponsoreden_US
dc.identifier.citationCenterpoint Journal (Science Edition)en_US
dc.identifier.issn2141-3819
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11555
dc.language.isoenen_US
dc.publisherUniversity of Ilorin, Nigeriaen_US
dc.relation.ispartofseries19(2);7 - 16
dc.subjectRectifying Single Sampling Plan (RSSP), Taguchi’s Loss function, Target value, Specification limits, Cost of scrap, Cost of rework, Cost of Inspectionen_US
dc.titleTaguchi’s Loss Function Approach to Economic Design of Rectifying Single Sampling Plan by Variable with Asymmetric Quality Costen_US
dc.typeArticleen_US

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