生物乙醇供应链中的原料库存优化研究

发布时间：2018-06-04 02:50

本文选题：生物质原料 + 乙醇生产　；参考：《计算机仿真》2013年10期

【摘要】：研究解决生物质原料库存和生产联合优化的问题,结合在精炼厂内采用不同方式对生物质原料进行存储的发展趋势,针对随机性存储理论以生物乙醇精炼厂利润最大化为目标建立数学模型,并证明模型存在最优解。由于模型难以得出解析解,采用蒙特卡罗方法进行数值仿真,得出在需求服从正态分布情况下精炼厂的最优库存量及利润。通过灵敏度分析讨论原料价格和存储方式两种因素对精炼厂库存水平和总体利润的影响,分析得出相互之间的变化关系。建立的模型可以得到在存储条件对生产产出有一定影响时的库存优化策略,为精炼厂的库存决策问题提供了有效的方法。
[Abstract]:Research and solve the problem of biomass raw material inventory and production optimization, combined with the development trend of using different ways to store biomass raw materials in refineries. Aiming at the stochastic storage theory, a mathematical model is established to maximize the profit of bioethanol refineries, and it is proved that the model has an optimal solution. Because the model is difficult to get an analytical solution, Monte Carlo method is used to carry out numerical simulation, and the optimal inventory and profit of refineries are obtained under the condition of normal distribution of demand. Through sensitivity analysis, the effects of raw material price and storage mode on inventory level and total profit of refineries are discussed, and the relationship between these two factors is obtained. The established model can obtain the inventory optimization strategy when storage conditions have a certain impact on the production output, which provides an effective method for inventory decision-making in refineries.
【作者单位】：上海交通大学中美物流研究院;上海交通大学安泰经济与管理学院;
【分类号】：O224;F426.72;F253.4

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