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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/69225


    Title: Optimal Warranty Length for a Rayleigh Distributed Product With Progressive Censoring
    Authors: Wu, Shuo-Jye;Huang, Syuan-Rong
    Contributors: 淡江大學統計學系
    Keywords: Bayesian analysis;dissatisfaction cost;economic benefit;posterior predictive distribution;warranty cost
    Date: 2010-12
    Issue Date: 2011-10-23 16:39:35 (UTC+8)
    Publisher: Piscataway: Institute of Electrical and Electronics Engineers
    Abstract: In an intensely competitive market, one way by which manufacturers attract consumers to their products is by providing warranties on the products. Consumers are willing to purchase a high-priced product only if they can be assured about the product's reliability. A longer warranty period usually indicates better reliability. However, offering an unlimited warranty is unrealistic because maintaining such a policy needs very high cost. In this article, we investigate a decision problem under the warranty which is a combination of free-replacement, and pro-rata policies. We use a Bayesian approach to determine the optimal warranty lengths. The Rayleigh distribution is employed to describe the product lifetime. An example with real data is presented for illustration.
    Relation: IEEE Transactions on Reliability 59(4), pp.661-666
    DOI: 10.1109/TR.2010.2055950
    Appears in Collections:[統計學系暨研究所] 期刊論文

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