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
Link To Document :
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