A three level joint location-inventory problem with correlated demand, shortages and periodic review system: Robust meta-heuristics

2017 ◽  
Vol 109 ◽  
pp. 113-129 ◽  
Author(s):  
Behnam Vahdani ◽  
M. Soltani ◽  
M. Yazdani ◽  
S. Meysam Mousavi
2001 ◽  
Vol 5 (1) ◽  
pp. 47-59
Author(s):  
Omar Ben-Ayed

Operations Research techniques are usually presented as distinct models. Difficult as it may often be, achieving linkage between these models could reveal their interdependency and make them easier for the user to understand. In this article three different models, namely Markov Chain, Dynamic Programming, and Markov Sequential Decision Processes, are used to solve an inventory problem based on the periodic review system. We show how the three models converge to the same (s,S) policy and we provide a numerical example to illustrate such a convergence.


2006 ◽  
Author(s):  
James R. Freeland ◽  
Robert Landel ◽  
Elliott N. Weiss

OPSI ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 120
Author(s):  
Annisa Indah Pratiwi ◽  
Amelia Nur Fariza ◽  
Ramdani Awaludin Yusup

1978 ◽  
Vol 10 (04) ◽  
pp. 867-885
Author(s):  
B. D. Sivazlian ◽  
J. F. Mahoney

The stationary characteristics of an n-component periodic review system which is subject to stochastic deterioration (but not to failure) are investigated. When the n-component vector which expresses the state of deterioration of the system pierces a certain surface the entire multicomponent system is replaced by items of identical cost structure at the time of the next review. In the absence of this situation nothing is replaced. It is assumed that there is a fixed cost associated with each replacement and that the operating cost of each item is a strictly increasing function of its state of deterioration. The conditions for minimizing the long-term cost of maintaining a system which operates under the stated policy were found through solution of a problem in variational calculus. Two examples are worked. A useful graph which aids in the solution of such problems is provided.


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