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Convergence of Estimated Optimal Inventory Levels in Models With Probabilistic Demands
Yugoslav journal of operations research, Tome 13 (2003) no. 2, p. 217 Cet article a éte moissonné depuis la source eLibrary of Mathematical Institute of the Serbian Academy of Sciences and Arts

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The behavior of estimations of the optimal inventory level is analyzed. Two models are studied. The demands follow unknown probability distribution function. The included density functions are estimated and a plug-in rule is suggested for computing estimates of the optimal levels. Two search algorithms are proposed and compared using Monte Carlo experiments.
Keywords: Backorders, simulated annealing, density function estimation. 
@article{YJOR_2003_13_2_a7,
     author = {Carlos N. Bouza},
     title = {Convergence of {Estimated} {Optimal} {Inventory} {Levels} in {Models} {With} {Probabilistic} {Demands}},
     journal = {Yugoslav journal of operations research},
     pages = {217 },
     year = {2003},
     volume = {13},
     number = {2},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/YJOR_2003_13_2_a7/}
}
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Carlos N. Bouza. Convergence of Estimated Optimal Inventory Levels in Models With Probabilistic Demands. Yugoslav journal of operations research, Tome 13 (2003) no. 2, p. 217 . http://geodesic.mathdoc.fr/item/YJOR_2003_13_2_a7/