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Optimizing stochastic supply chains via simulation: what is an appropriate simulation run length

Autor
Arreola, A.; Fortuny-Santos, J.; Vintro, C.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
7th International Conference on Industrial Engineering and Industrial Management
Any de l'edició
2013
Data de presentació
2013-07-10
Llibre d'actes
“Industrial Engineering and Complexity Management”. Book of Proceedings of the 7th International Conference on Industrial Engineering and Industrial Management - XVII Congreso de Ingeniería de Organización.
Pàgina inicial
297
Pàgina final
305
Repositori
http://hdl.handle.net/2117/20188 Obrir en finestra nova
URL
http://www.insisoc.org/CIO2013/papers/EN-02%20OR%20M&S/Optimizing%20Stochastic%20Supply%20Chains%20via%20Simulation%20What%20is%20an%20Appropriate%20Simulation%20Run%20Length.pdf Obrir en finestra nova
Resum
The most common solution strategy for stochastic supply-chain man-agement problems that are analytically intractable is simulation. But, how can we be sure that the optimal solution obtained by simulation is in fact the true optimal solution? In this paper we try to shed light on this question. We report the results of an extensive simulation study of a base-stock controlled production-inventory system. We tried different values of base-stock levels (R) to determine, via simulation, which was th...
Citació
Arreola, A.; Fortuny, J.; Vintro, C. Optimizing Stochastic Supply Chains via Simulation: What is an Appropriate Simulation Run Length. A: Industrial Engineering and Complexity Management. "7th International Conference on Industrial Engineering and Industrial Management. XVII Congreso de Ingeniería de Organización (CIO)". Valladolid: 2013, p. 297-305.
Paraules clau
Optimization, Simulation, Stochastic Supply Chains
Grup de recerca
OPE-PROTHIUS - Organització de la Producció en Tallers Híbrids

Participants

  • Arreola Risa, Antonio  (autor ponent)
  • Fortuny Santos, Jordi  (autor ponent)
  • Vintro Sanchez, Carla  (autor ponent)