淡江大學機構典藏:Item 987654321/20691
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    Title: Mixture inventory model with back orders and lost sales for variable lead time demand with the mixtures of normal distribution
    Authors: Wu, Jong-wuu;Tsai, Hui-yin
    Contributors: 淡江大學統計學系
    Date: 2001-02-01
    Issue Date: 2009-11-30 12:56:43 (UTC+8)
    Publisher: Taylor & Francis
    Abstract: In recent papers by Ben-Daya and Raouf and by Ouyang et al. a continuous review inventory model is presented in which they considered both the lead time and the order quantity as decision variables. When the demands of the different customers do not have identical lead times, then we cannot use only a distribution (such as Ouyang et al. who used a normal distribution) to describe the demand of the lead time. Hence, we have extended the model of Ouyang et al. by considering the mixtures of normal distribution (see the book by Everitt and Hand). In addition, we also still assume that shortages are allowed. Moreover, the total amount of stock-out is considered as a mixture of back orders and lost sales during the stock-out period. Moreover, we also develop an algorithmic procedure to find the optimal order quantity and optimal lead time; the effects of parameters are also studied.
    Relation: International Journal of Systems Science 32(2), pp.259-268
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

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