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    政大機構典藏 > 商學院 > 企業管理學系 > 期刊論文 >  Item 140.119/100764
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/100764


    Title: Optimal Inspection Policy in Sequential Screening
    Authors: 唐揆
    Park, J.S.;Peters, M.H.;Tang, Kwei
    Contributors: 企管系
    Keywords: Mathematical models;Inspections;Dynamic programming;Bayesian analysis;Algorithms
    Date: 1991-08
    Issue Date: 2016-08-25 15:53:06 (UTC+8)
    Abstract: Under sequential screening, a production lot is inspected item by item, and the decision is made after inspecting each item whether to inspect another item or to reject the remainder of the lot. Thus, uninspected items are never accepted. This screening process is a special case of the sequential sampling considered in Wortham and Wilson (1971). The process is formulated as an optimal stopping problem using a Bayesian approach. Based on an analysis of the structural properties of the optimal policy, a backward-recursive optimal algorithm that is more efficient than the existing algorithm for optimal sequential sampling is developed. The optimal policy will call for an early termination of the screening process on a lot with a high defective rate.
    Relation: Management Science, 37(8), 1058-1061
    Data Type: article
    Appears in Collections:[企業管理學系] 期刊論文

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