Revista de Matemática: Teoría y Aplicaciones (Jul 2010)

Simulated Annealing–Golden section algorithm for the multiproduct replenishment problem with stochastic demand.

  • Salvador Hernández González,
  • Miguel Ángel Gutiérrez Andrade,
  • Sergio Gerardo de los Cobos Silva

DOI
https://doi.org/10.15517/rmta.v17i2.2124
Journal volume & issue
Vol. 17, no. 2
pp. 121 – 141

Abstract

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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.