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研究生: 蔡旻侑
Tsai, Min-You
論文名稱: 以啟發式演算法求解考量碳排放之多車種接駁補貨車輛路徑問題
A Heuristic Algorithm for Heterogeneous Fleet Feeder Vehicle Routing Problem Considering Carbon Emission
指導教授: 張秀雲
Chang, Shiow-Yun
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業與資訊管理學系
Department of Industrial and Information Management
論文出版年: 2019
畢業學年度: 107
語文別: 中文
論文頁數: 70
中文關鍵詞: 接駁補貨車輛路徑問題整數規劃啟發式演算法模擬退火法碳排放
外文關鍵詞: Feeder Vehicle Routing Problem, Integer Programming, Heuristic Algorithm, Simulated Annealing, Carbon Emission
相關次數: 點閱:128下載:0
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  • 隨著電子商務的蓬勃發展,宅配的需求也逐漸增加,進而讓傳統物流業者紛紛轉型或成立宅配部門。面對同業間的競爭壓力,物流業者為了提升競爭力和減少運輸成本,所以就有研究提出接駁補貨車輛路徑問題(Feeder Vehicle Routing Problem, FVRP)的配送模式,此問題屬於VRP的延伸,主要是利用大車與機車配合進行配送服務,當機車配送完貨物後,可以直接找大車進行補貨,此補貨方式可以讓整體移動成本減少並加快配送效率。另外,隨著空氣污染等問題越來越嚴重,各國對碳排放的限制也越來越嚴格,這對使用大量車輛的宅配業者來說是一定會面臨到的挑戰。
    因此,本研究加入碳排放與電動機車的考量,提出考量碳排放之多車種接駁補貨車輛路徑問題(Heterogeneous Fleet Feeder Vehicle Routing Problem Considering Carbon Emission, EFVRP),然後建立一數學模型和設計模擬退火法(Simulated Annealing, SA)求解EFVRP,探討如何以最小化車輛的移動成本、碳排放懲罰成本與使用成本的總和為目標滿足全部顧客的需求。所以指派各車種的數量、配送路徑以及補貨點位置為本研究欲求解的結果。
    本研究在求解的部分會分別以最佳化軟體Gurobi和SA進行求解,其結果顯示SA的求解結果與效率優於最佳化軟體Gurobi。在敏感度分析的部分,由於目前電動機車的價位比燃油機車高,再加上台灣地狹人稠的特性,讓機車的累計移動距離都不會太長,使得機車碳排放懲罰成本和電動機車移動成本的敏感度分析結果不顯著。以目前的現實情況來看,各家宅配業者要在短時間內導入多輛的電動機車到配送車隊中是不太可行的。如果政府可以提出推廣使用電動機車的相關補助,讓電動機車的使用成本減少,才能達到電動機車普及化的目標。

    With the booming of e-commerce, the demand for delivery has gradually increased. Delivery operators want to enhance competitiveness and reduce transportation costs. Therefore, there is a new model called Feeder Vehicle Routing Problem (FVRP), which is the extension of VRP. It mainly uses the cooperation of trucks and motorcycles to carry out delivery service. When motorcycles are out of commodity, it can directly find trucks for reloading. This reloading method can reduce overall travel costs and speed up delivery efficiency. Besides, as air pollution problems become more severe, the restrictions on carbon emission become stricter, which is a challenge for delivery operators. Therefore, this thesis adds carbon emission and electric motorcycle considerations, and proposes a Heterogeneous Fleet Feeder Vehicle Routing Problem Considering Carbon Emission (EFVRP). Then formulate a mathematical model and proposes a simulated annealing (SA) method for solving EFVRP. The objective of EFVRP is to minimize the total cost consisting of travel cost, carbon penalty cost, and fixed vehicle cost. The problem was solved by the optimization software Gurobi and the SA method respectively. The results show that SA is outperforming than Gurobi. For sensitivity analysis, the carbon emission penalty cost of motorcycle and the travel cost of an electric motorcycle is not significant.

    摘要 i Extended Abstract ii 誌謝 vii 目錄 ix 表目錄 xii 圖目錄 xiii 第一章 緒論 1 1.1研究背景與動機 2 1.2研究目的 4 1.3研究範圍 4 1.4研究架構與流程 5 第二章 文獻探討 7 2.1碳排放 7 2.1.1碳排放政策 7 2.1.2考量碳排放之相關文獻 8 2.2車輛路徑問題相關文獻 9 2.2.1車輛路徑問題(VRP) 9 2.2.2 VRP求解方法 11 2.3多車種車輛路徑問題(HVRP) 17 2.3.1車隊規模和混合車輛路徑問題(FSMVRP) 18 2.3.2異質固定車隊的車輛路徑問題(HFFVRP) 20 2.4卡車拖車路徑問題(TTRP) 22 2.5接駁補貨車輛路徑問題(FVRP) 24 2.6小結 29 第三章 研究方法 30 3.1問題描述 30 3.2研究假設 31 3.3符號定義 32 3.3.1符號設定 32 3.3.2碳排放成本相關參數計算 35 3.4混合整數規劃模型建構 37 3.5啟發式演算法之建構 42 3.5.1初始可行解 42 3.5.2模擬退火法求解流程 46 第四章 例題測試與結果分析 49 4.1例題與參數設置 49 4.1.1題庫簡介 49 4.1.2參數設置 51 4.2例題求解結果與分析 53 4.2.1小型例題求解 53 4.2.2大型例題求解 56 4.2.3比較有無考量碳排放之路徑差異 58 4.3敏感度分析 60 4.4小結 63 第五章 結論與後續建議 64 5.1結論 64 5.2後續建議 65 參考文獻 66

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