基于随机替代关系的单周期可替代品库存模型

A Study on Single-period Inventory Model for Substitutable Items with Stochastic Substituting Relation

基于确定型的可替代产品单周期库存模型已有研究,它假定替代数量关系是确定的。而事实上,替代过程中由于消费者需求的个性化因素影响,替代的数量关系往往是随机的。为此,假定替代数量关系符合随机分布条件下,提出了两类可替代产品的单周期库存模型,并设计了基于遗传算法的仿真优化算法。算例分析的结果表明,考虑随机替代关系可显著地提高决策者的收益;该算法是有效的。

The single-period, substitutable inventory model, based on the hypothesis that substitution＇ s quantity relationship is deterministic, has been studied a lot. However, due to effects of consumer demands＇ personalization, substitution quantity relationship is always stochastic. Considering stochastic substituting relationship between two terms, a single-periodtwo-substitution inventory model is proposed and a simulation optimization algorithm based on genetic algorithm is designed. Results indicate that the profits can be obviously improved considering stochastic substituting relationship and the proposed algorithm is efficiency.