Publications-Periodical Articles
Article View/Open
Publication Export
Google ScholarTM
NCCU Library
Citation Infomation
Related Publications in TAIR
| Title | Multiattribute Bayesian Acceptance Sampling Plans for Screening and Scrapping Rejected Lots |
| Creator | 唐揆 Moskowitz, H.;Plante, R.;Tang, Kwei;Ravindran, A. |
| Contributor | 企管系 |
| Date | 1984 |
| Date Issued | 24-Aug-2016 17:23:59 (UTC+8) |
| Summary | 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. |
| Relation | IIE Transactions, 16(2), 185-192 |
| Type | 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 |