随机连续需求的分布式仓储两阶段模型研究

主要研究了随机连续需求情况下的第三方仓储企业能力配置与分布式仓储问题。对不同客户货物的仓储能力配置与分布式仓储问题,建立相应的两阶段数学模型,并且对该模型进行化简求解,之后进行了模型的逆向调整与改进。研究发现,在有仓储能力限制的情境下,不同客户不同货物的仓储能力分配值不仅与本身的需求分布相关,还与其他货物的需求分布有着比较大的关系,并且这种关系会随着仓储空间限制的加大而变得更加紧密。在总仓储能力足够大时,各不同客户货物的存储能力分配主要受本身的需求分布影响。进而对仓容有限条件下的第三方仓储提出了动态自适应分布式两阶段存储策略。

Research on Two-stage Model of Distributed Storage Under Random Continuous Demand

This research is mainly aimed at capacity distribution and distributed warehouse problem of the third party warehouse enterprise under the condition of the continuous demand. We establish a corresponding two-stage model for goods of various customers and simplify the model for the followed resolving. Then we adjust and improve the model in a reverse way. The research shows that, the distributed storage capacity of different goods is not only related to demand distribution itself, but also is influenced by demand distribution of other goods under the condition of limited storage capacity. And the influence will be enhanced when the limitation of the storage capacity becomes stronger. When the total storage capacity is big enough, the storage capacity distribution of the different customers' goods is mainly influenced by demand distribution itself. This paper puts forward dynamic adaptive distributed storage strategy with two-stage under the condition of limited storage capacity. The result of simulation by this proposed model is reasonable.