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    政大機構典藏 > 商學院 > 企業管理學系 > 期刊論文 >  Item 140.119/100721


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    题名: Multiattribute Bayesian Acceptance Sampling Plans for Screening and Scrapping Rejected Lots
    作者: 唐揆
    Moskowitz, H.;Plante, R.;Tang, Kwei;Ravindran, A.
    贡献者: 企管系
    日期: 1984
    上传时间: 2016-08-24 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
    数据类型: article
    DOI 連結: http://dx.doi.org/10.1080/07408178408974684
    DOI: 10.1080/07408178408974684
    显示于类别:[企業管理學系] 期刊論文

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