弹性生物能源供应链网络结构—运作策略整合优化问题研究

发布时间：2018-07-05 09:52

本文选题：生物能源 + 弹性供应链　；参考：《东北大学》2013年硕士论文

【摘要】：长久以来,世界经济发展所依赖的主要能源一直是以石油和煤炭为代表的不可再生能源,然而随着不可再生能源的储量逐渐枯竭,以及全球范围内对发展可持续能源需求的不断增加,以风电、太阳能和生物能源为代表的可再生环保能源得到了迅速发展。其中,生物能源因其碳排放量少、生产耗能少及能量密度大等优势受到了科学家们的极大关注,其不仅能够提供电能、热能等,有的还可以作为汽车燃料的主要来源,因此被看作是是替代不可再生能源的上好选择。近年来,一些国家越来越倾向于利用植物和动物等转化成生物能源,面对我国能源紧张的严峻态势,若能够合理地开发和利用生物能源这种新兴能源,将会在一定程度上缓解能源供应紧张的局面。为了保证生物能源经济、有效地供应,建立一个稳定的生物能源供应链网络是必不可少的。但是,目前国内外的研究中,关于弹性生物能源供应链网络的研究仍处于起步阶段,尚未形成系统性的成熟的理论框架和研究方法,也未构建完善的生物能源供应链网络。在这种形势下,很多学者开始考虑如何结合生物能源自有的特殊性来设计优化其供应链网络,并使其有能力应对复杂环境、抵御潜在风险。因此,如何构建面向失效风险生物能源供应链网络是亟待解决的研究课题。基于以上背景,本文旨在研究生物能源弹性供应链网络集成优化问题,以基于单一原料和单一生物精炼技术进行生物乙醇生产的供应链网络为研究对象,建立一个主要由原料产地、精炼厂、分销中心和混合中心构成的四级供应链网络系统,考虑将多源供应、原料后备供应地和乙醇联合应急库存中心的弹性策略嵌入供应链结构当中,以应对原料产地、分销中心或是运输方式失效的复杂环境,并提出以最小化生物能源供应链期望总成本为目标的混合整数线性规划模型,基于数值算例,通过CPLEx求解模型,验证模型的有效性。最后,在此基础之上进行灵敏度分析,讨论该模型在不同参数发生变化时的不同表现。基于上述研究思路,本文主要做了如下的研究工作：(1)阐述选题背景和研究意义,并给出全文的结构框架和基本研究内容。(2)对相关理论和文献进行整理归纳,主要从生物能源供应链相关概述、弹性供应链理论和供应链风险管理理论三个方面展开,对弹性供应链优化的研究和对确定性环境下与不确定环境下生物能源供应链的研究进行了综述。(3)基于不同的复杂风险环境在文中建立了两个混合整数线性规划模型,利用此模型得到了以生物乙醇能源供应链系统期望总成本最小化为目标的最优供应链网络和供应策略。(4)通过数值算例对上面所建数学模型进行求解及灵敏度分析,最终验证了所建模型的合理性及有效性。(5)最后对全文内容加以总结,指出本文研究的局限性,并提出未来研究工作的展望。
[Abstract]:For a long time, the main sources of energy on which the world economy depends have been non-renewable energy, represented by oil and coal, but as the reserves of non-renewable energy have dried up, As well as the increasing global demand for sustainable energy, renewable environmental energy, represented by wind power, solar energy and bioenergy, has been rapidly developed. Among them, bioenergy has attracted great attention from scientists because of its advantages of less carbon emissions, less energy consumption and high energy density. It can not only provide electric energy, heat energy, etc., but also can be used as the main source of automobile fuel. It is therefore seen as a good alternative to non-renewable energy. In recent years, some countries are more and more inclined to use plants and animals to convert into bioenergy. In the face of the severe situation of energy shortage in China, if we can reasonably develop and utilize bioenergy as a new energy source, It will ease the tight energy supply to some extent. In order to guarantee bioenergy economy and supply effectively, it is necessary to establish a stable bioenergy supply chain network. However, at present, the research on elastic bioenergy supply chain network is still in its infancy, and has not yet formed a systematic and mature theoretical framework and research methods, nor has it constructed a perfect bio-energy supply chain network. In this situation, many scholars begin to consider how to design and optimize their supply chain network by combining the particularity of bioenergy, and make them able to cope with complex environment and resist potential risks. Therefore, how to construct the failure-risk-oriented bioenergy supply chain network is an urgent research topic. Based on the above background, this paper aims to study the integration and optimization of bioenergy elastic supply chain network, taking the supply chain network based on single feedstock and single biological refining technology as the research object. Establish a four-level supply chain network system consisting mainly of raw material production areas, refineries, distribution centers and hybrid centers, and consider multi-source supply. The elastic strategy of the raw material reserve supplier and the joint emergency storage center of ethanol is embedded in the supply chain structure to deal with the complex environment where the raw material origin, distribution center or transportation mode fails. A mixed integer linear programming model with the goal of minimizing the expected total cost of bioenergy supply chain is proposed. Based on a numerical example, the model is solved by CPLEx to verify the validity of the model. Finally, sensitivity analysis is carried out on this basis, and the different performance of the model under different parameters is discussed. Based on the above research ideas, this paper mainly does the following research work: (1) explain the background and significance of the topic, and give the structural framework and basic research content. (2) summarize the relevant theories and literature. Mainly from three aspects: bioenergy supply chain theory, elastic supply chain theory and supply chain risk management theory. The research on elastic supply chain optimization and bioenergy supply chain under deterministic and uncertain environments are reviewed. (3) two mixed integer linear programming models are established in this paper based on different complex risk environments. Using this model, the optimal supply chain network and supply strategy with the goal of minimizing the expected total cost of bioethanol supply chain system are obtained. (4) the above mathematical model is solved and sensitivity analysis is carried out by numerical examples. Finally, the rationality and validity of the model are verified. (5) finally, the paper summarizes the content of this paper, points out the limitations of this study, and puts forward the prospect of future research work.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F426.2;F274

【参考文献】