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    題名: Mixture inventory model with back orders and lost sales for variable lead time demand with the mixtures of normal distribution
    作者: Wu, Jong-wuu;Tsai, Hui-yin
    貢獻者: 淡江大學統計學系
    日期: 2001-02-01
    上傳時間: 2009-11-30 12:56:43 (UTC+8)
    出版者: Taylor & Francis
    摘要: 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.
    關聯: International Journal of Systems Science 32(2), pp.259-268
    顯示於類別:[統計學系暨研究所] 期刊論文

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