本文選題：生物燃料 + 彈性供應(yīng)鏈　； 參考：《東北大學》2013年碩士論文

【摘要】：在全球能源危機的背景下,生物燃料的發(fā)展與應(yīng)用受到越來越多的關(guān)注,為了保證生物燃料能夠持續(xù)有效的供應(yīng),一個有效、穩(wěn)定的生物燃料供應(yīng)鏈網(wǎng)絡(luò)是必不可少的,因此,對于生物燃料供應(yīng)鏈網(wǎng)絡(luò)優(yōu)化問題的研究成為一個新的研究熱點。目前,該領(lǐng)域已有文獻大多側(cè)重于對確定性環(huán)境下的生物燃料供應(yīng)鏈網(wǎng)絡(luò)優(yōu)化問題進行研究,有少數(shù)學者在研究中考慮了不確定性因素的影響,但僅局限于供應(yīng)量、需求量以及價格的不確定性,并未考慮失效風險可能對生物燃料供應(yīng)鏈造成的危害,也未曾考慮通過嵌入彈性策略的方式增強生物燃料供應(yīng)鏈網(wǎng)絡(luò)應(yīng)對多種不確定因素和失效風險的能力。然而,在現(xiàn)實的生物燃料供應(yīng)鏈網(wǎng)絡(luò)中,諸如地震、洪水、颶風等可能引發(fā)設(shè)施或供應(yīng)失效的事件時有發(fā)生,此類失效事件雖然發(fā)生概率較小,可一旦發(fā)生,其造成的損失卻極其巨大。因此,為了構(gòu)建穩(wěn)定、有效的彈性生物燃料供應(yīng)鏈網(wǎng)絡(luò),必須對包括多種不確定性因素和失效事件的復雜風險環(huán)境影響進行充分考慮,同時,使用有效的彈性策略增強生物燃料供應(yīng)鏈網(wǎng)絡(luò)對復雜風險環(huán)境的適應(yīng)能力。本文主要研究了復雜風險環(huán)境下的生物燃料供應(yīng)鏈網(wǎng)絡(luò)優(yōu)化問題,在綜合考慮多種不確定性因素與失效風險的前提下,進行生物燃料供應(yīng)鏈網(wǎng)絡(luò)的結(jié)構(gòu)與運作集成優(yōu)化,其中,復雜風險環(huán)境主要包括生物質(zhì)原料的供應(yīng)量、最終產(chǎn)品需求量及價格波動、原料產(chǎn)地與精煉設(shè)施可能發(fā)生的失效等,并使用隨機情境生成技術(shù),對以上因素進行了表達,同時,考慮使用多源采購、替代源供應(yīng)和常規(guī)庫存等彈性策略來增強生物燃料供應(yīng)鏈網(wǎng)絡(luò)的彈性,在此基礎(chǔ)上構(gòu)建相應(yīng)的多周期線性混合整數(shù)隨機規(guī)劃模型,通過模型求解,幫助生物燃料供應(yīng)鏈網(wǎng)絡(luò)進行結(jié)構(gòu)與運作相關(guān)決策,其中集成了以下決策問題：(1)各節(jié)點對上游供應(yīng)商的選擇,(2)網(wǎng)絡(luò)中物流量分配相關(guān)問題的確定,(3)生物乙醇精煉廠的選址,(4)生產(chǎn)規(guī)模與數(shù)量的確定以及對于各種彈性策略的選擇。文中研究了兩種不同類型的生物燃料供應(yīng)鏈網(wǎng)絡(luò)模型,并從系統(tǒng)收益最大化和效率與彈性的權(quán)衡兩個角度進行了供應(yīng)鏈網(wǎng)絡(luò)結(jié)構(gòu)與運作集成優(yōu)化方法研究。最后,均通過對數(shù)值算例進行求解,驗證了優(yōu)化模型的有效性,并對優(yōu)化結(jié)果進行了靈敏度分析,考察了模型中的關(guān)鍵參數(shù)對于模型優(yōu)化結(jié)果的影響,從而為決策者進行生物燃料供應(yīng)鏈網(wǎng)絡(luò)優(yōu)化決策提供必要的參考。
[Abstract]:In the context of the global energy crisis, the development and application of biofuels has received more and more attention. In order to ensure the sustainable and efficient supply of biofuels, an effective and stable supply chain network of biofuels is essential.The optimization of biofuel supply chain network has become a new research hotspot.At present, most of the literatures in this field focus on the optimization of biofuel supply chain network in the deterministic environment. A few scholars have considered the influence of uncertainty in the research, but only in the supply.Uncertainty about demand and price does not take into account the potential harm of failure risks to biofuel supply chains,It is also not considered to enhance the capacity of biofuel supply chain networks to deal with multiple uncertainties and failure risks by embedding elastic strategies.However, in a realistic biofuel supply chain network, events such as earthquakes, floods, hurricanes that may cause facility or supply failures occur from time to time, although they are less likely to occur once they occur.The damage is enormous.Therefore, in order to build a stable and effective flexible biofuel supply chain network, it is necessary to take full account of the complex risk environmental impacts, including a variety of uncertainties and failure events, and at the same time,Effective elastic strategies are used to enhance the adaptability of biofuel supply chain networks to complex risk environments.This paper mainly studies the optimization of biofuel supply chain network under complex risk environment. Under the premise of synthetically considering many uncertain factors and failure risks, the structure and operation of biofuel supply chain network are optimized.The complex risk environment mainly includes the biomass raw material supply, the final product demand and the price fluctuation, the raw material origin and the refining facility may have the invalidation and so on, and uses the random situation generation technology, has carried on the expression to the above factors, at the same time,In order to enhance the elasticity of biofuel supply chain network, a multi-period linear mixed integer stochastic programming model is constructed based on the elastic strategies of multi-source purchasing, alternative source supply and conventional inventory, and solved by the model.To help biofuels supply chain networks make structural and operational decisions,This paper integrates the following decision problem: 1) the selection of upstream suppliers by each node and the determination of the problems related to the distribution of material flow in the network. (3) the location of the bio-ethanol refinery is 4)) the scale and quantity of production and the choice of various elastic strategies.In this paper, two different types of biofuel supply chain network models are studied, and the optimization methods of supply chain network structure and operation integration are studied from the perspectives of maximum system income and trade-off between efficiency and elasticity.Finally, the effectiveness of the optimization model is verified by solving numerical examples, and the sensitivity of the optimization results is analyzed, and the influence of the key parameters in the model on the optimization results is investigated.Therefore, it provides the necessary reference for decision makers to optimize the biofuel supply chain network.
【學位授予單位】：東北大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：F426.2;F274

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