基于供应链管理的一种采购算法研究

提出一种能在供应链管理环境下辅助功能性产品采购决策的方法。企业通过对价格和需求分布的分析,向一组供应商发送报价请求单RFQ(Request For Quote),相应地,供应商将会给出不同的报价反馈,这些报价反馈包含价格、交货数量、交货期等信息。企业在对这些供应商进行选择时,考虑了两个目标:每日的库存水平达到最优;同时使整个采购期内总成本最小。问题被描述为一个马尔科夫决策过程MDP(Markov decisionprocess),该过程能通过下一次所有随机状态的总期望效用值计算当前行为的效用。在求解该问题时,本文使用了动态规划方法。

An Algorithm for Procurement Based on Supply Chain Management

Propose an algorithm to assist the decision-making process for purchases of functional goods under supply-chain management environment.Based on the analysis of prices and demand distribution,RFQs are constructed and quotes are accepted that optimize the level of inventory each day,while minimizing total cost.The problem is modeled as a Markov decision process (MDP),which allows for the computation of the utility of actions to be based on the utilities of consequential future states.Dynamic programming is then used to determine the optimal quote requests and accepts at each state in the MDP.