本文選題：供應(yīng)鏈優(yōu)化 + 煉油供應(yīng)鏈　； 參考：《浙江大學(xué)》2014年博士論文

【摘要】：隨著社會(huì)對(duì)能源需求的逐步增大,作為當(dāng)今主要能源的石化燃料也面臨著更高的供需要求。同時(shí)在石油日益短缺今天,生物燃料由于其環(huán)境友好,地域分布均衡,能值高等特點(diǎn),成為了最有希望成為替代傳統(tǒng)石油的新型能源。煉油廠的供應(yīng)鏈優(yōu)化在提升傳統(tǒng)石化能源的整體生產(chǎn)效率,降低加工,運(yùn)輸和存儲(chǔ)成本等各方面都起著極為重要的作用。與此同時(shí),合理的利用現(xiàn)有煉油廠設(shè)施,設(shè)計(jì)合理的生物燃料供應(yīng)鏈網(wǎng)絡(luò),可以有效的提升新能源的使用比率,從而進(jìn)一步滿足能源需求,促進(jìn)社會(huì)發(fā)展。本文分別從提高煉油供應(yīng)鏈和生物燃料供應(yīng)鏈運(yùn)作效率的角度上,對(duì)研究現(xiàn)狀進(jìn)行了具體分析,對(duì)煉油供應(yīng)鏈計(jì)劃優(yōu)化,生物燃料供應(yīng)鏈設(shè)計(jì)優(yōu)化,以及兩者供應(yīng)鏈集成等問題進(jìn)行了系統(tǒng)而深入的研究。本文的主要內(nèi)容和創(chuàng)新點(diǎn)如下： 1.提出了煉油廠供應(yīng)鏈計(jì)劃問題的條件風(fēng)險(xiǎn)價(jià)值模型,在最優(yōu)化經(jīng)濟(jì)指標(biāo)的同時(shí)控制風(fēng)險(xiǎn),為煉油供應(yīng)鏈計(jì)劃問題中的不確定性處理提供了新思路。采用樣本平均逼近的方法來確定最佳風(fēng)險(xiǎn)閾值,并且測(cè)試了結(jié)果的魯棒性。在場(chǎng)景數(shù)量的選擇上,采用統(tǒng)計(jì)的方法在精確性和計(jì)算效率之間做折中。同時(shí),深入挖掘產(chǎn)率波動(dòng)這一內(nèi)在不確定性,提出了結(jié)合優(yōu)化與仿真的迭代算法,在條件風(fēng)險(xiǎn)價(jià)值的隨機(jī)規(guī)劃的框架下,得出滿意解。 2.從煉油廠供應(yīng)鏈的生產(chǎn)和配送的角度,分析了當(dāng)前將煉油廠生產(chǎn)調(diào)度優(yōu)化和管道調(diào)度優(yōu)化分開考慮的不足與缺點(diǎn),提出了生產(chǎn)調(diào)度和管道調(diào)度集成模型,從整體上優(yōu)化生產(chǎn)調(diào)度,油品調(diào)和,管道調(diào)度與庫存管理。相比傳統(tǒng)順序式的拉式和推式求解策略,該集成模型不僅能保證整體優(yōu)化問題的可行性,而且能大幅降低整體成本。 3.針對(duì)第三代高級(jí)碳?xì)渖锶剂系墓⿷?yīng)鏈與現(xiàn)有煉油廠設(shè)備的關(guān)系,首次提出了碳?xì)渖锶剂瞎⿷?yīng)鏈集成已有煉油廠的設(shè)計(jì)優(yōu)化模型。模型同時(shí)兼顧生物燃料供應(yīng)鏈戰(zhàn)略設(shè)計(jì)與戰(zhàn)術(shù)計(jì)劃優(yōu)化兩個(gè)因素,綜合考慮了生物煉油廠的不同技術(shù)方案,加工規(guī)模的選擇,與傳統(tǒng)煉油廠集成策略的確定,以及生物質(zhì)的分布性、季節(jié)性、易腐蝕性,需求的分布性和政府財(cái)政補(bǔ)貼等特點(diǎn)。采用模糊可能性規(guī)劃方法對(duì)供應(yīng)鏈設(shè)計(jì)優(yōu)化模型中的不確定性進(jìn)行分析優(yōu)化,決策者可以根據(jù)個(gè)人偏好選擇可能性,必然性和可信性當(dāng)作評(píng)價(jià)指標(biāo)。 4.從最小化單位成本的角度,提出了高級(jí)碳?xì)渖锶剂瞎⿷?yīng)鏈集成已有煉油廠的混合整數(shù)分式規(guī)劃模型。采用了兩種特定算法對(duì)此優(yōu)化問題進(jìn)行求解。同時(shí)從最優(yōu)解,容差,計(jì)算時(shí)間等方面比較了特定算法與通用的混合整數(shù)線性規(guī)劃求解器在此優(yōu)化問題上的差別。詳細(xì)分析了以單位成本最小化與以總體成本最小化為目標(biāo)的決策所造成的差別。提出了一個(gè)兼顧模型魯棒性和經(jīng)濟(jì)性的魯棒優(yōu)化方法對(duì)供應(yīng)鏈不確定性進(jìn)行處理。 5.首次提出了傳統(tǒng)煉油廠和生物燃料集成供應(yīng)鏈的長(zhǎng)期設(shè)計(jì)和優(yōu)化模型,分析兩者供應(yīng)鏈的互相協(xié)作與影響。采用裝置級(jí)的煉廠計(jì)劃模型代替簡(jiǎn)單的節(jié)點(diǎn)投入產(chǎn)出模型,提高了模型的分辨率。同時(shí)采用隨機(jī)規(guī)劃方法對(duì)長(zhǎng)期設(shè)計(jì)計(jì)劃過程中的不確定性進(jìn)行分析控制。
[Abstract]:With the increasing demand for energy in the society, the petrochemical fuel, as the main energy source, is also facing higher demand for supply and demand. At the same time, with the increasing shortage of oil today, the biofuel has become the most promising new energy for replacing traditional oil because of its environmental friendly environment, balanced geographical distribution and high value. Chain optimization plays a very important role in improving the overall production efficiency of traditional petrochemical energy, reducing processing, transportation and storage costs. At the same time, the rational use of existing refinery facilities and a reasonable design of the biofuel supply chain network can effectively improve the utilization ratio of new energy and thus further meet the requirements. From the perspective of improving the efficiency of the oil refining supply chain and the biofuel supply chain, this paper makes a detailed analysis of the research status, and makes a systematic and in-depth study on the optimization of the refining supply chain plan, the optimization of the design of the biofuel supply chain, and the supply chain aggregation. The main contents and innovation points are as follows:
1. the conditional risk value model of the refinery supply chain planning problem is proposed. It provides a new idea for the uncertainty treatment in the oil refining supply chain planning problem with the optimization of the economic indicators. The method of sample average approximation is used to determine the best risk threshold, and the robustness of the results is tested. In the selection, the statistical method is used to compromise between the accuracy and the computational efficiency. At the same time, the inherent uncertainty of the yield fluctuation is deeply excavated. An iterative algorithm combining optimization and simulation is proposed, and the satisfactory solution is obtained under the framework of the stochastic programming of the conditional risk value.
2. from the angle of production and distribution of the supply chain of the refinery, the shortcomings and shortcomings of the current oil refinery scheduling optimization and the pipeline scheduling optimization are analyzed. The integrated model of production scheduling and pipeline scheduling is proposed, which optimizes the production scheduling, oil blending, pipeline scheduling and inventory management. The integrated model can not only guarantee the feasibility of the overall optimization problem, but also greatly reduce the overall cost.
3. in view of the relationship between the supply chain of the third generation of advanced hydrocarbon biofuels and the existing refinery equipment, the design optimization model of the existing petroleum refinery has been proposed for the first time. The model also takes into account the two factors of the strategic design and tactical plan optimization of the biofuel supply chain, and takes into consideration the different techniques of the biological refinery. The operation scheme, the selection of the processing scale, the determination of the integration strategy of the traditional refinery, the distribution of biomass, the seasonality, the perishability, the distribution of the demand and the government financial subsidies. The fuzzy possibility planning method is used to optimize the uncertainty in the supply chain design optimization model, and the decision-maker can be based on the individual. The possibility, inevitability and credibility of preference selection are regarded as evaluation indicators.
4. from the point of minimization of unit cost, a mixed integer fractional programming model of advanced hydrocarbon biofuel supply chain integration has been proposed. Two specific algorithms are used to solve this optimization problem. At the same time, the specific algorithm and the general mixed integer linear programming are compared from the optimal solution, the tolerance, the calculation time and so on. The difference between this optimization problem and the difference between the unit cost minimization and the decision to minimize the total cost is analyzed in detail. A robust optimization method for the model robustness and economy is proposed to deal with the uncertainty of supply chain.
5. the long-term design and optimization model of the traditional refinery and biofuel integrated supply chain is proposed for the first time, and the cooperation and influence of the supply chain are analyzed. The resolution of the model is improved by using the device level refinery plan model instead of the simple input-output model. At the same time, the stochastic programming method is used for the long-term design plan. The uncertainty in the process is analyzed and controlled.

【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TE68

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本文編號(hào)：1863568