dc.contributor.author | Hernandez Gress, Eva Selene | en_US |
dc.date.accessioned | 2013-11-04T22:00:42Z | |
dc.date.available | 2013-11-04T22:00:42Z | |
dc.date.issued | 2012 | en_US |
dc.identifier.citation | Hernández, E.S.. Montaño, O. Corona, J.R. Ortega, A.O. | es |
dc.identifier.uri | https://repository.uaeh.edu.mx/bitstream/handle/123456789/7990 | |
dc.description.abstract | The replacement problem can be modeled as a finite, irreducible, homogeneous Markov Chain. In our proposal the pro- blem was modeled using a Markov decision process and then, the instance was optimized using dynamic programming. We proposed a new functional that includes a reward functional, that can be more helpful in processing industries be- cause it considerate instances like incomes, maintenance costs, fixed costs to replace equipment, purchase price and salvage values; and this functional can be solved with dynamic programming and used to make effective decisions. Two theorems are proved related with this new functional. A numerical example is presented in order to demonstrate the utility of this proposal. | es |
dc.language | es | en_US |
dc.subject | Análisis, Diseño y Optimización de Sistemas Sociotécnicos | es |
dc.title | A Reward Functional to Solve the Replacement Problem | es |
dc.type | Article | en_US |