【摘要】：在世界各國關(guān)注并推行低碳經(jīng)濟(jì)和可持續(xù)發(fā)展戰(zhàn)略的背景下，我國作為主要的能源消耗和碳排放大國，在環(huán)境污染和能源消耗日益嚴(yán)重的壓力下，通過發(fā)展低碳經(jīng)濟(jì)模式實(shí)現(xiàn)可持續(xù)發(fā)展已成為必然趨勢。以化石燃料燃燒為能源的交通運(yùn)輸業(yè)是碳排放的主要來源之一，其低碳經(jīng)濟(jì)運(yùn)行模式備受關(guān)注。因此承擔(dān)起環(huán)保責(zé)任的運(yùn)輸業(yè)必須結(jié)合節(jié)能減排形勢，實(shí)施低碳運(yùn)輸，，加快綠色低碳環(huán)保交通運(yùn)輸模式的發(fā)展。 本文主要研究考慮低碳因素的帶軟時間窗和具有多配送中心的車輛路徑優(yōu)化問題。文章首先結(jié)合低碳物流的配送特點(diǎn)，從車輛路徑問題相關(guān)研究理論出發(fā)，在車輛路徑優(yōu)化基本模型中考慮了車輛行駛距離對燃油消耗量和二氧化碳排放量的影響因素，分別建立了以總成本最小化為目標(biāo)的帶軟時間窗的低碳車輛路徑模型和具有多配送中心的低碳車輛路徑模型。在此基礎(chǔ)上，根據(jù)研究的實(shí)際問題和模型需要，利用遺傳算法的基本原理對所建模型進(jìn)行了求解算法設(shè)計(jì)，并運(yùn)用MATLAB進(jìn)行編程，使所建模型求解最終得以實(shí)現(xiàn)。最后以G連鎖超市在該地區(qū)的實(shí)際配送數(shù)據(jù)作為實(shí)驗(yàn)數(shù)據(jù)，選取兩個配送實(shí)例分別對本文構(gòu)建的兩個模型和設(shè)計(jì)的的遺傳算法進(jìn)行驗(yàn)證。 模型比較和數(shù)值分析表明，基于本文構(gòu)建的模型和自適應(yīng)遺傳算法所提出的低碳車輛路徑方案，得到了最小配送成本和最優(yōu)的配送路線，可以滿足現(xiàn)實(shí)顧客的需求，具有節(jié)省物流成本、提高經(jīng)濟(jì)效益的優(yōu)勢；數(shù)值算例結(jié)果驗(yàn)證了本文提出的關(guān)于低碳路徑規(guī)劃兩種應(yīng)用情況的可行性，為節(jié)能減排和發(fā)展低碳經(jīng)濟(jì)提供了新的理論方法，對于物流企業(yè)為提高顧客個性化需求的低碳運(yùn)營提供了具有參考價值的解決方案。
[Abstract]:Under the background of low carbon economy and sustainable development strategy, China, as a major energy consumption and carbon emission country, is under increasing pressure of environmental pollution and energy consumption. It has become an inevitable trend to realize sustainable development by developing low-carbon economy model. Transportation with fossil fuel combustion as the energy source is one of the main sources of carbon emissions, and its low carbon economic operation model has attracted much attention. Therefore, the transportation industry, which bears the responsibility of environmental protection, must combine the situation of energy saving and emission reduction, implement low-carbon transportation, and accelerate the development of green and low-carbon transportation mode. In this paper, the problem of vehicle routing optimization with soft time windows and multiple distribution centers is studied. Based on the distribution characteristics of low-carbon logistics and the related theory of vehicle routing problem, this paper considers the influence factors of vehicle travel distance on fuel consumption and carbon dioxide emissions in the basic model of vehicle path optimization. A low carbon vehicle routing model with soft time window and a low carbon vehicle routing model with multiple distribution centers are established with the goal of minimizing total cost. On this basis, according to the practical problems and the needs of the model, the algorithm of solving the model is designed based on the basic principle of genetic algorithm, and the programming is carried out by using MATLAB, so that the solution of the model can be realized finally. Finally, taking the actual distribution data of G chain supermarket in this area as experimental data, two distribution examples are selected to verify the two models and the genetic algorithm designed in this paper. The model comparison and numerical analysis show that the low carbon vehicle routing scheme based on the model constructed in this paper and the adaptive genetic algorithm can get the minimum distribution cost and the optimal distribution route, which can meet the needs of real customers. It has the advantages of saving logistics cost and improving economic benefit. The numerical results verify the feasibility of the two applications of low-carbon path planning proposed in this paper, and provide a new theoretical method for energy saving and emission reduction and the development of low-carbon economy. For logistics enterprises to improve customer demand for low-carbon operations to provide a reference value of the solution.
【學(xué)位授予單位】：燕山大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP18;F259.2

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 王中英;王禮茂;;中國經(jīng)濟(jì)增長對碳排放的影響分析[J];安全與環(huán)境學(xué)報(bào);2006年05期

2 王微;林劍藝;崔勝輝;吝濤;;碳足跡分析方法研究綜述[J];環(huán)境科學(xué)與技術(shù);2010年07期

3 張景玲;趙燕偉;王海燕;介婧;王萬良;;多車型動態(tài)需求車輛路徑問題建模及優(yōu)化[J];計(jì)算機(jī)集成制造系統(tǒng);2010年03期

4 王曉博;李一軍;;多車場多車型裝卸混合車輛路徑問題研究[J];控制與決策;2009年12期

5 李一凡;李娜;;低碳物流的幾點(diǎn)思考[J];物流科技;2011年01期

6 潘本鋒;汪巍;李亮;李健軍;王瑞斌;;我國大中型城市秋冬季節(jié)霧霾天氣污染特征與成因分析[J];環(huán)境與可持續(xù)發(fā)展;2013年01期

7 李進(jìn);傅培華;;具有固定車輛數(shù)的多車型低碳路徑問題及算法[J];計(jì)算機(jī)集成制造系統(tǒng);2013年06期

8 朱長征;李艷玲;;碳排量最小的車輛路徑優(yōu)化問題研究[J];計(jì)算機(jī)工程與應(yīng)用;2013年22期

9 羅誠;;考慮碳排放控制的多種運(yùn)輸方式組合優(yōu)化模型研究[J];陜西科技大學(xué)學(xué)報(bào)(自然科學(xué)版);2011年05期

10 李翰林;;我國國際物流發(fā)展研究[J];現(xiàn)代經(jīng)濟(jì)信息;2011年21期

本文編號：2272971