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通过对供应链网状结构模型的分析,首先,建立由分销、供应网络和核心企业组成的供应链多级库存系统。该系统考虑了供应链成本中的生产成本和运输成本,并以客户服务水平等作为约束条件下,以库存成本最优为目标,建立多约束单目标多级库存控制优化模型,以确定各节点的最大库存量和订货临界点。其次,根据所建立模型的特点,完成了物流过程仿真器的设计,并采用了遗传算法作为模型的求解方法。最后,通过算例对模型的有效性进行验证,得出基于该模型的优化能够降低供应链库存成本,并使得供应链总体性能得到改善。
Through the analysis of the supply chain network structure model, firstly, a multi-level supply chain inventory system consisting of distribution, supply network and core enterprises is established. The system considers the production cost and transportation cost in the supply chain cost. Under the constraint of the customer service level and so on, taking the optimal inventory cost as the objective, a multi-constrained single-objective multi-level inventory control optimization model is established to determine whether each node The largest stock and order critical point. Secondly, according to the characteristics of the established model, the design of the logistics process simulator is completed, and the genetic algorithm is adopted as the solution method of the model. Finally, the effectiveness of the model is verified through a numerical example. It is concluded that the optimization based on this model can reduce the inventory cost of the supply chain and improve the overall performance of the supply chain.