Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/100722
DC FieldValueLanguage
dc.contributor企管系
dc.creator唐揆zh_TW
dc.creatorMoskowitz, H.;Plante, R.;Tang, Kwei
dc.date1986
dc.date.accessioned2016-08-24T09:42:17Z-
dc.date.available2016-08-24T09:42:17Z-
dc.date.issued2016-08-24T09:42:17Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/100722-
dc.description.abstractA multistage Bayesian acceptance sampling model for a serial production process, which incorporates multiple-type defects that may occur in each stage of the process is proposed. A subproblem heuristic to solve for near optimal multistage multiattribute acceptance sampling plans is also developed. The performance and sampling characteristics of the multistage model and the solution heuristic are illustrated and compared to a set of independent single stage plans and a final stage composite plan, showing considerable differences.
dc.format.extent124 bytes-
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dc.relationIIE Transactions, 18(2), 130-137
dc.titleMultistage Multiattribute Acceptance Sampling in Serial Production Systems
dc.typearticle
dc.identifier.doi10.1080/07408178608975340
dc.doi.urihttp://dx.doi.org/10.1080/07408178608975340
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.openairetypearticle-
item.grantfulltextrestricted-
item.cerifentitytypePublications-
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