DocumentCode
176638
Title
An inventory control model for perishable items with stochastic replenishment interval and stock-dependent selling rate
Author
Guang-fan Xu ; Xiao-jia Wang ; Yan-yan Wu ; Shan-Lin Yang
Author_Institution
Sch. of Manage., Hefei Univ. of Technol., Hefei, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
3573
Lastpage
3579
Abstract
Periodic replenishment inventory models are widely used in practice, especially for inventory systems in which many different goods are purchased from the same supplier. However, most of periodic replenishment inventory models have assumed a fixed length of the replenishment periods. In practice, it is possible that the replenishment periods are of a stochastic length. This paper presents an inventory control model for deteriorating items in the case of random replenishment intervals and stock-dependent selling rate. The replenishment interval is assumed to obey from two different distributions, namely, exponential and uniform distributions. Also, shortages are allowed in the term of partial backordering. For this model, we provide the necessary and sufficient conditions of the existence and uniqueness of the optimal solutions and a procedure is also developed to determine the optimal solution for the proposed models. At last, numerical example is shown to illuminate the presented model.
Keywords
exponential distribution; stochastic processes; stock control; deteriorating items; exponential distributions; inventory control model; necessary and sufficient conditions; partial backordering; periodic replenishment inventory models; perishable items; random replenishment intervals; stochastic replenishment interval; stock-dependent selling rate; uniform distributions; Art; Production; deteriorating items; inventory control; partial backlogging; stochastic replenishment interval; stock-dependent selling rate;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852799
Filename
6852799
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