We study inventory systems with two demand classes (critical and non-critical), Poisson demand and backordering. We analyze dynamic rationing strategies where the number of items reserved for critical demand depends on the remaining time until the next order arrives. Different from results in the literature, we do not discretize demand but derive a set of formulae that determine the optimal rationing level for any possible value of the remaining time. Moreover, we show that the cost parameters can be captured in a single relevant dimension, which allows us to present the optimal rationing levels in charts and lookup tables that are easy to implement. Numerical examples illustrate that the optimal dynamic rationing strategy outperforms all static strategies with fixed rationing levels. (C) 2007 Elsevier B.V. All rights reserved.
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Hangzhou Dianzi Univ, Dept Ind Engn, Sch Management, Hangzhou, Zhejiang, Peoples R ChinaHangzhou Dianzi Univ, Dept Ind Engn, Sch Management, Hangzhou, Zhejiang, Peoples R China
Wang, Yi
Zhang, Sheng Hao
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Xi An Jiao Tong Univ, Dept Ind Engn, Sch Management, Key Lab Proc Control & Efficiency Engn,Minist Edu, Xian, Shaanxi, Peoples R ChinaHangzhou Dianzi Univ, Dept Ind Engn, Sch Management, Hangzhou, Zhejiang, Peoples R China
Zhang, Sheng Hao
Zhou, Sean X.
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Chinese Univ Hong Kong, CUHK Business Sch, Hong Kong, Peoples R ChinaHangzhou Dianzi Univ, Dept Ind Engn, Sch Management, Hangzhou, Zhejiang, Peoples R China
Zhou, Sean X.
Zhang, Yong
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Xi An Jiao Tong Univ, Dept Ind Engn, Sch Management, Key Lab Proc Control & Efficiency Engn,Minist Edu, Xian, Shaanxi, Peoples R ChinaHangzhou Dianzi Univ, Dept Ind Engn, Sch Management, Hangzhou, Zhejiang, Peoples R China
机构:
Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R ChinaCity Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R China
Chen, Zhiyuan
Liang, Xiaoying
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City Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R China
Liang, Xiaoying
Wang, Haifeng
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IBM China Res Lab, Beijing 100193, Peoples R ChinaCity Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R China
Wang, Haifeng
Yan, Houmin
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City Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R China