本文選題：生物能源 + 彈性供應(yīng)鏈�。� 參考：《東北大學(xué)》2013年碩士論文

【摘要】：長久以來,世界經(jīng)濟(jì)發(fā)展所依賴的主要能源一直是以石油和煤炭為代表的不可再生能源,然而隨著不可再生能源的儲(chǔ)量逐漸枯竭,以及全球范圍內(nèi)對(duì)發(fā)展可持續(xù)能源需求的不斷增加,以風(fēng)電、太陽能和生物能源為代表的可再生環(huán)保能源得到了迅速發(fā)展。其中,生物能源因其碳排放量少、生產(chǎn)耗能少及能量密度大等優(yōu)勢(shì)受到了科學(xué)家們的極大關(guān)注,其不僅能夠提供電能、熱能等,有的還可以作為汽車燃料的主要來源,因此被看作是是替代不可再生能源的上好選擇。近年來,一些國家越來越傾向于利用植物和動(dòng)物等轉(zhuǎn)化成生物能源,面對(duì)我國能源緊張的嚴(yán)峻態(tài)勢(shì),若能夠合理地開發(fā)和利用生物能源這種新興能源,將會(huì)在一定程度上緩解能源供應(yīng)緊張的局面。為了保證生物能源經(jīng)濟(jì)、有效地供應(yīng),建立一個(gè)穩(wěn)定的生物能源供應(yīng)鏈網(wǎng)絡(luò)是必不可少的。但是,目前國內(nèi)外的研究中,關(guān)于彈性生物能源供應(yīng)鏈網(wǎng)絡(luò)的研究仍處于起步階段,尚未形成系統(tǒng)性的成熟的理論框架和研究方法,也未構(gòu)建完善的生物能源供應(yīng)鏈網(wǎng)絡(luò)。在這種形勢(shì)下,很多學(xué)者開始考慮如何結(jié)合生物能源自有的特殊性來設(shè)計(jì)優(yōu)化其供應(yīng)鏈網(wǎng)絡(luò),并使其有能力應(yīng)對(duì)復(fù)雜環(huán)境、抵御潛在風(fēng)險(xiǎn)。因此,如何構(gòu)建面向失效風(fēng)險(xiǎn)生物能源供應(yīng)鏈網(wǎng)絡(luò)是亟待解決的研究課題�；谝陨媳尘�,本文旨在研究生物能源彈性供應(yīng)鏈網(wǎng)絡(luò)集成優(yōu)化問題,以基于單一原料和單一生物精煉技術(shù)進(jìn)行生物乙醇生產(chǎn)的供應(yīng)鏈網(wǎng)絡(luò)為研究對(duì)象,建立一個(gè)主要由原料產(chǎn)地、精煉廠、分銷中心和混合中心構(gòu)成的四級(jí)供應(yīng)鏈網(wǎng)絡(luò)系統(tǒng),考慮將多源供應(yīng)、原料后備供應(yīng)地和乙醇聯(lián)合應(yīng)急庫存中心的彈性策略嵌入供應(yīng)鏈結(jié)構(gòu)當(dāng)中,以應(yīng)對(duì)原料產(chǎn)地、分銷中心或是運(yùn)輸方式失效的復(fù)雜環(huán)境,并提出以最小化生物能源供應(yīng)鏈期望總成本為目標(biāo)的混合整數(shù)線性規(guī)劃模型,基于數(shù)值算例,通過CPLEx求解模型,驗(yàn)證模型的有效性。最后,在此基礎(chǔ)之上進(jìn)行靈敏度分析,討論該模型在不同參數(shù)發(fā)生變化時(shí)的不同表現(xiàn)。基于上述研究思路,本文主要做了如下的研究工作：(1)闡述選題背景和研究意義,并給出全文的結(jié)構(gòu)框架和基本研究內(nèi)容。(2)對(duì)相關(guān)理論和文獻(xiàn)進(jìn)行整理歸納,主要從生物能源供應(yīng)鏈相關(guān)概述、彈性供應(yīng)鏈理論和供應(yīng)鏈風(fēng)險(xiǎn)管理理論三個(gè)方面展開,對(duì)彈性供應(yīng)鏈優(yōu)化的研究和對(duì)確定性環(huán)境下與不確定環(huán)境下生物能源供應(yīng)鏈的研究進(jìn)行了綜述。(3)基于不同的復(fù)雜風(fēng)險(xiǎn)環(huán)境在文中建立了兩個(gè)混合整數(shù)線性規(guī)劃模型,利用此模型得到了以生物乙醇能源供應(yīng)鏈系統(tǒng)期望總成本最小化為目標(biāo)的最優(yōu)供應(yīng)鏈網(wǎng)絡(luò)和供應(yīng)策略。(4)通過數(shù)值算例對(duì)上面所建數(shù)學(xué)模型進(jìn)行求解及靈敏度分析,最終驗(yàn)證了所建模型的合理性及有效性。(5)最后對(duì)全文內(nèi)容加以總結(jié),指出本文研究的局限性,并提出未來研究工作的展望。
[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.
【學(xué)位授予單位】：東北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：F426.2;F274

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