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題名 Multiattribute Bayesian Acceptance Sampling Plans for Screening and Scrapping Rejected Lots
作者 唐揆
Moskowitz, H.;Plante, R.;Tang, Kwei;Ravindran, A.
貢獻者 企管系
日期 1984
上傳時間 24-Aug-2016 17:23:59 (UTC+8)
摘要 A general model for multiattribute Bayesian acceptance sampling plans is developed which incorporates the multiattribute utility function of a decision maker in its design. The model accommodates various dispositions of rejected lots such as screening and scrapping. The disposition of rejected lots is shown to have a substantial impact on the solution approach used and on the ease of incorporation of multiattribute utility functions in terms of their measurement complexity, functional form, and parameter estimation. For example, if all attributes are screenable upon rejection, and the prior distributions of lot quality on each attribute are independent, then an optimal multiattribute sampling plan can be obtained simply by solving for an optimal single sampling plan on each attribute independently. A discrete search algorithm, based on pattern search, is also developed and shown to be very effective in obtaining an optimal multiattribute inspection plan when such separability cannot be accomplished.
關聯 IIE Transactions, 16(2), 185-192
資料類型 article
DOI http://dx.doi.org/10.1080/07408178408974684
dc.contributor 企管系
dc.creator (作者) 唐揆zh_TW
dc.creator (作者) Moskowitz, H.;Plante, R.;Tang, Kwei;Ravindran, A.
dc.date (日期) 1984
dc.date.accessioned 24-Aug-2016 17:23:59 (UTC+8)-
dc.date.available 24-Aug-2016 17:23:59 (UTC+8)-
dc.date.issued (上傳時間) 24-Aug-2016 17:23:59 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/100721-
dc.description.abstract (摘要) A general model for multiattribute Bayesian acceptance sampling plans is developed which incorporates the multiattribute utility function of a decision maker in its design. The model accommodates various dispositions of rejected lots such as screening and scrapping. The disposition of rejected lots is shown to have a substantial impact on the solution approach used and on the ease of incorporation of multiattribute utility functions in terms of their measurement complexity, functional form, and parameter estimation. For example, if all attributes are screenable upon rejection, and the prior distributions of lot quality on each attribute are independent, then an optimal multiattribute sampling plan can be obtained simply by solving for an optimal single sampling plan on each attribute independently. A discrete search algorithm, based on pattern search, is also developed and shown to be very effective in obtaining an optimal multiattribute inspection plan when such separability cannot be accomplished.
dc.format.extent 124 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) IIE Transactions, 16(2), 185-192
dc.title (題名) Multiattribute Bayesian Acceptance Sampling Plans for Screening and Scrapping Rejected Lots
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1080/07408178408974684
dc.doi.uri (DOI) http://dx.doi.org/10.1080/07408178408974684