考虑多维不确定性的生物能源供应链优化设计研究

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摘要：

生物能源产业可以一定程度上解决能源紧张、缓解秸秆烧荒带来的环境污染等问题.不断变化的外部情况对生物能源供应链的优化设计提出了挑战,其应能对市场需求和原料供应等外部条件的波动具有更强的适应性.将供应链运作过程中可能面临的多种不确定性要素纳入到模型中,建立了混合整数规划模型.模型以期望利润最大化为目标函数,决策精炼厂选址、生产规模、生物质原材料产地选择、精炼厂与客户之间的运输关系等问题.为验证模型的有效性,使用辽宁省地区的实际数据结合所提出的模型进行了验证,并进一步分析了所提出模型面对各种要素波动时的表现.

Bioenergy industry mitigates to solve the energy shortage in a certain extent and the pollution which comes from burning straw.A new challenge arises from the changing external conditions against oplimizing the design of bioenergy supply chain,which is supposed to be more adaptable to the fluctuation of the conditions such as market demand and raw material supply.These uncertainties are taken into considerations and the problem is formulated as a MILP.The model is to maximize the expected profit and to decide refineries'locations and scales,raw mterial habilat choosing and the transportation between refineries and customers.The practical data of Liaoning Province are used to prove the effectiveness of this model.The sensitive analysis based on the fluctuation of various elements has been done to test the robustness of the model.

作者：

高聪

Gao Cong(School of Business Administration,Northeastern University,Shenyang 110819,China)

机构地区：

东北大学工商管理学院

出处：

《betway官方app 学报：自然科学版》 CAS 北大核心 2022年第2期58-64,共7页

Journal of Henan Normal University(Natural Science Edition)

基金：

国家自然科学基金(71502030)。

关键词：

不确定性生物能源供应链辽宁地区环境变化