本文關(guān)鍵詞： 交通流 油耗 多車型 路徑優(yōu)化 突變遺傳算法　出處：《河北工程大學》2017年碩士論文　論文類型：學位論文

【摘要】：隨著資源短缺、環(huán)境污染等問題的日益凸顯,節(jié)能、綠色等發(fā)展理念越來越受到人們的重視。這也引起了各物流企業(yè)對配送中車輛油耗問題的關(guān)注。一方面,企業(yè)需要考慮到在配送過程中影響車輛油耗的各個因素,在各種條件的約束下對配送路徑進行安排,以降低企業(yè)成本、提高競爭力;另一方面,考慮車輛油耗問題有利于企業(yè)承擔起節(jié)約資源、保護環(huán)境的社會責任�；诖�,本文考慮到交通流及車型對車輛油耗的影響,同時探討了當客戶存在模糊需求時路徑優(yōu)化結(jié)果的變化情況,在特定偏好值下尋求最優(yōu)的配送方案。論文首先對國內(nèi)外研究現(xiàn)狀及現(xiàn)實配送情況進行梳理總結(jié),分析了其中存在的主要問題。論述了物流配送及車輛路徑問題相關(guān)理論。其次,分析了車輛油耗的影響因素,考慮了車輛載重量、行駛速度、距離、交通流及車型五個因素對車輛油耗的影響,修正了車輛油耗測算模型。同時考慮客戶需求的模糊性,依據(jù)模糊集及可信性理論,建立了以車輛固定使用成本及車輛油耗成本(包括計劃油耗成本和額外油耗成本)之和最小為目標的模糊機會約束模型。再次,將突變思想引入到遺傳算法中,設(shè)計了突變遺傳算法。最后,通過算例分析結(jié)果表明,決策者的主觀偏好對成本具有重要影響,應(yīng)選擇合理的主觀偏好值以達到成本最小的目的。在特定偏好值下,本文所得配送方案能降低配送成本,提高車輛實載率。
[Abstract]:With the shortage of resources, environmental pollution and other problems increasingly prominent, energy conservation, green and other development concepts have been paid more and more attention to. This has also caused the logistics enterprises to pay attention to the problem of vehicle fuel consumption in distribution. On the one hand, Enterprises need to consider the factors that affect vehicle fuel consumption in the process of distribution, and arrange the distribution path under the constraints of various conditions, in order to reduce the cost of enterprises and improve competitiveness; on the other hand, Considering the problem of vehicle fuel consumption is helpful for enterprises to assume the social responsibility of saving resources and protecting the environment. Based on this, this paper considers the influence of traffic flow and vehicle type on vehicle fuel consumption. At the same time, the paper discusses the change of the path optimization results when the customer has fuzzy demand, and seeks the optimal distribution scheme under the specific preference value. Firstly, the paper summarizes the domestic and foreign research status and the actual distribution situation. The main problems are analyzed. The related theories of logistics distribution and vehicle routing are discussed. Secondly, the influencing factors of vehicle fuel consumption are analyzed, and the vehicle load, speed and distance are considered. The influence of five factors of traffic flow and vehicle type on vehicle fuel consumption is revised, and the calculation model of vehicle fuel consumption is revised. Considering the fuzziness of customer demand, according to the theory of fuzzy set and credibility, A fuzzy opportunity constraint model is established, which aims at the minimum sum of vehicle fixed usage cost and vehicle fuel consumption cost (including planned fuel consumption cost and extra fuel consumption cost). Thirdly, the mutation idea is introduced into genetic algorithm. A mutation genetic algorithm is designed. Finally, the result of example analysis shows that the decision maker's subjective preference has an important effect on the cost, and a reasonable subjective preference value should be selected to achieve the goal of minimizing the cost. In this paper, the distribution scheme can reduce the cost of distribution and improve the vehicle load rate.
【學位授予單位】：河北工程大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP18;F252.1

【參考文獻】

相關(guān)期刊論文 前10條

1 張曉楠;范厚明;李劍鋒;;變動補償?shù)亩嗄：x址-路徑機會約束模型及算法[J];系統(tǒng)工程理論與實踐;2016年02期

2 張曉楠;范厚明;;模糊需求車輛路徑優(yōu)化及實時調(diào)整[J];上海交通大學學報;2016年01期

3 蘭輝;何琴飛;邊展;靳志宏;;考慮道路通行狀況的冷鏈物流配送路徑優(yōu)化[J];大連海事大學學報;2015年04期

4 楊珍花;賴平仲;湯洋;靳志宏;;冷藏車多車型混合配送調(diào)度優(yōu)化[J];系統(tǒng)工程;2015年10期

5 戴啟華;劉勤讓;沈劍良;孫淼;;基于改進遺傳算法的片上網(wǎng)絡(luò)低功耗映射方法[J];計算機應(yīng)用研究;2016年06期

6 張如云;劉清;;考慮低碳的城市配送車輛路徑優(yōu)化模型研究[J];工業(yè)工程與管理;2015年04期

7 陳妍;單汨源;王秋鳳;;多車型集配貨一體化車輛路徑問題研究[J];中南大學學報(自然科學版);2015年05期

8 熊浩;鄢慧麗;;需求可拆分車輛路徑問題的三階段禁忌算法[J];系統(tǒng)工程理論與實踐;2015年05期

9 石兆;符卓;;配送選址-多車型運輸路徑優(yōu)化問題及求解算法[J];計算機科學;2015年05期

10 張夢君;胡志華;周靜嫻;;考慮油耗差異多車型混合車輛接力運輸網(wǎng)絡(luò)優(yōu)化[J];武漢理工大學學報(交通科學與工程版);2014年06期

，

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