订单式生产下汽车零配件企业采购决策研究

为解决传统JIT模式下供应链非主导的汽车零配件厂面临的巨大交付压力与高昂存货管理成本问题，基于MTO订单式生产下汽配厂的原材料供应现状，对其原材料进行两步分类得出3类原材料，分别建立以最小化存货成本的多周期动态规划模型，并推出其最优采购策略。最后，采用M企业实际运营数据进行对比分析，发现最优策略下的原材料存货周转天数显著缩短、库存成本显著降低，验证了优化策略的可行性及有效性。

Research on Purchasing Decisions of Auto Parts Manufacturer under MTO Mode

This paper aims to solve the problems of great delivery pressure and high inventory cost faced by the auto parts manufacturer, which is under traditional just-in-time production mode and is non-dominant in the supply chain. The auto parts manufacturer who uses make-to-order production mode is taken as an example and the raw materials are classified into three types by two steps. Multi-period dynamic programming models, which minimize the inventory costs for the three types of raw materials are formulated and solved. Finally, through numerical experiments with the real operation data of M company, we find that the inventory turnover period and inventory cost with the optimal purchasing decisions are reduced obviously, which verifies the feasibility and effectiveness of the optimal ordering polices.