Safety Stock Determination with Serially Correlated Demand in a Periodic-Review Inventory System

1995 ◽  
Vol 46 (8) ◽  
pp. 1006-1013 ◽  
Author(s):  
John M. Charnes ◽  
Howard Marmorstein ◽  
Walter Zinn
2012 ◽  
Vol 29 (06) ◽  
pp. 1250039
Author(s):  
WEI GENG ◽  
JIANYONG LIU ◽  
XIAOBO ZHAO

For a periodic-review inventory system with stochastic and continuous demands and without setup costs, it is known that there exists a base-stock policy to be optimal. For a finite-horizon system with non-stationary parameters, it is essential to find approximate optimal policies because of the computational intractability of finding the optimal policy. This paper provides an approach, by which an analytical bound of the error between the costs of the approximate optimal policy and the optimal policy is given. It is shown that the approximate optimal policy converges to the optimal policy as the size of the computational grid decreases. Numerical results are presented to illustrate the methodology.


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