Heuristics in inventory control : operational empirical evidence

Abstract

This paper intends to be a methodological contribution to the comparison of results obtained inventory management through formal modeling and those implemented through simulation and optimization processes, particularly using genetic algorithms (evolutionary). The development focuses primarily on backorder situation for models of reorder point, periodic review and (S, s, R) where the demand per unit time and lead time are normal distributions. The analyses are realized for a set of heuristics applied to the management of a durable fast moving item. The main limitations in modeling and optimization of numerical nature are refereed.