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Using system simulation to search for the optimal multi-ordering policy for perishable goods

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Using system simulation to search for the optimal multi-ordering policy for perishable goods

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Huang, Y.; Chang, X.; Ding, Y. (2019). Using system simulation to search for the optimal multi-ordering policy for perishable goods. International Journal of Production Management and Engineering. 7(1):49-62. https://doi.org/10.4995/ijpme.2019.10745

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Título: Using system simulation to search for the optimal multi-ordering policy for perishable goods
Autor: Huang, Y.C. Chang, X.Y. Ding, Y.A.
Fecha difusión:
Resumen:
[EN] This paper explores the possibility that perishable goods can be ordered several times in a single period after considering the cost of Marginal contribution, Marginal loss, Shortage, and Purchasing under stochastic ...[+]
Palabras clave: Perishable goods , Single-period , Multi-ordering , Newsvendor model , Monte Carlo method
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
International Journal of Production Management and Engineering. (issn: 2340-5317 ) (eissn: 2340-4876 )
DOI: 10.4995/ijpme.2019.10745
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/ijpme.2019.10745
Tipo: Artículo

References

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Azoury, K.S., Miller, B.L. (1984). A comparison of the optimal ordering levels of bayesian and non-bayesian inventory models, Management Science, 30(8), 993-1003. https://doi.org/10.1287/mnsc.30.8.993

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