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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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dc.contributor.author Huang, Y.C. es_ES
dc.contributor.author Chang, X.Y. es_ES
dc.contributor.author Ding, Y.A. es_ES
dc.date.accessioned 2019-02-05T11:07:20Z
dc.date.available 2019-02-05T11:07:20Z
dc.date.issued 2019-01-31
dc.identifier.issn 2340-5317
dc.identifier.uri http://hdl.handle.net/10251/116424
dc.description.abstract [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 demand. In order to determine the optimal ordering quantity to improve the traditional newsvendor and maximize the total expected profits, and then sensitivity analysis is taken to realize the influence of the parameters on total expected profits and decision variables respectively. In addition, this paper designed a multi-order computerized system with Monte Carlo method to solve the optimal solution under stochastic demand. Based on numerical examples, this paper verified the feasibility and efficiency of the proposed model. Finally, several specific conclusions are drawn for practical applications and future studies. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València
dc.relation.ispartof International Journal of Production Management and Engineering
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Perishable goods es_ES
dc.subject Single-period es_ES
dc.subject Multi-ordering es_ES
dc.subject Newsvendor model es_ES
dc.subject Monte Carlo method es_ES
dc.title Using system simulation to search for the optimal multi-ordering policy for perishable goods es_ES
dc.type Artículo es_ES
dc.date.updated 2019-02-05T10:42:36Z
dc.identifier.doi 10.4995/ijpme.2019.10745
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation 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 es_ES
dc.description.accrualMethod SWORD es_ES
dc.relation.publisherversion https://doi.org/10.4995/ijpme.2019.10745 es_ES
dc.description.upvformatpinicio 49 es_ES
dc.description.upvformatpfin 62 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 7
dc.description.issue 1
dc.identifier.eissn 2340-4876
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