Simulated Annealing–Golden section algorithm for the multiproduct replenishment problem with stochastic demand.
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| Авторы: | , , |
|---|---|
| Формат: | artículo original |
| Статус: | Versión publicada |
| Дата публикации: | 2010 |
| Описание: | The joint replenishment problem (JRP) has been studied for over 30 years and there are both heuristic and exact algorithms to determine the frequency of orders and fundamental cycle; in recent years it has been considered the model with stochastic demand. If we assume a behavior of normal distribution for the demand, we may obtain a non linear mixed-integer programming for costs, for which only is reported one heuristic solving method. In this paper we propose a simulated annealing algorithm with golden section for one-dimensional search in order to solve the JRP considering a normal distribution demand. Its performance is compared with the reported heuristic method. The results showed that the new algorithm obtains lower costs. |
| Страна: | Portal de Revistas UCR |
| Институт: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Язык: | Español |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/2124 |
| Online-ссылка: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/2124 |
| Access Level: | acceso abierto |
| Ключевое слово: | Multi-item inventory problem joint replenishment problem simulated annealing golden section Problemas de inventario multiproducto problema de reaprovisionamiento conjunto recocido simulado sección dorada |