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研究生:許秀瑜
研究生(外文):Hsiu-Yu Hsu
論文名稱:含取送貨之多目標車輛途程規劃
論文名稱(外文):A Multiple-Objective Vehicle Routing Planning with Simultaneous Pickups and Deliveries
指導教授:李祥林李祥林引用關係
指導教授(外文):Shyanglin Lee
學位類別:碩士
校院名稱:國立屏東科技大學
系所名稱:工業管理系
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
論文出版年:2006
畢業學年度:94
語文別:中文
論文頁數:116
中文關鍵詞:車輛途程規劃多目標整數規劃模擬退火演算法
外文關鍵詞:Vehicle Routine PlanningMultiple-objectiveInteger ProgrammingSimulated Annealing Algorithm
相關次數:
  • 被引用被引用:7
  • 點閱點閱:605
  • 評分評分:
  • 下載下載:152
  • 收藏至我的研究室書目清單書目收藏:0
宅配業之快速發展,造成商品取貨及送貨的服務更為流暢。然而在這競爭激烈的宅配市場中,如何有效的規劃車輛的使用及人力的分配,提高服務水準,而能增加營業額,降低成本,以維持本身競爭優勢,成為業者必須面臨的課題。本研究以宅配業車輛途程規劃為研究主題,以整數規劃建立途程規劃模式,利用模擬退火演算法進行求解,除考量實務上途程規劃的原則外,並同時考慮到總途程成本最小、軟式時間窗之懲罰成本最小及員工工作時數的平準等三個目標。研究結果顯示最終班表均能符合車容量與工作時數12小時限制的硬性限制條件,並儘可能滿足軟性限制。此外,敏感度分析對多種配送狀況探討,並對實務應用及後續研究作建議。
The vehicle routine has been one of the key factors that affect the operational efficiency of door-to-door delivery service companies. A well-planned routine may result not only lower costs, in terms of shorter travel distance of vehicles, less overtime pay for drivers. It also results in higher customer satisfaction due to higher percentage of on-time services. This thesis proposes a multiple-objective integer model to solve vehicle routine problems. To minimize the travel distance of vehicles, to maximize the percentage of on-time services, and to level the working hours of drivers are three objectives of the proposed model. Practical constraints, such as the working hours of drivers should be limited within 12 hours, vehicles are not allowed to be overloaded, are considered. Relaxation technique is used to alleviate the burden of random search of the simulated annealing algorithm that is used to solve the integer model. The computational results show that the simulated annealing algorithm properly solves the relaxed model. The vehicle routine obtained by the model does not violate any of the hard constraints. Only a couple of vehicles can not satisfy few soft constraints. A sensitivity analysis is also conducted based upon various situations, such city vs urban customers, different time windows, and etc. Recommendations for both practical applications and academic research are made.
目 錄
摘 要 I
Abstract II
誌 謝 III
目 錄 IV
圖表索引 VII
1. 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 6
1.3 研究假設 7
1.4 論文架構 8
2. 文獻探討 10
2.1 車輛途程問題介紹 10
2.1.1 車輛途程問題之沿革 10
2.1.2 車輛途程問題之基本模式 13
2.1.3 途程問題之整理 18
2.2 時窗限制下車輛途程問題 21
2.3 含取貨條件下車輛途程問題 26
2.4 模擬退火法 34
2.4.1 Metropolis演算法 36
2.4.2 模擬退火法 38
2.5 小結 42
3. 研究方法 43
3.1 車輛途程問題之目標 43
3.2 符號定義 44
3.3 數學規劃模式之建構 46
3.4 鬆弛模式 51
3.5 模擬退火演算過程 54
4. 實證分析 59
4.1範例描述 59
4.2 模擬結果 62
4.3 配送狀況分析 68
4.3.1 配送地點集中或分散 68
4.3.2 貨品指定送達時段 73
4.3.3 配送需求量狀況分析 76
5. 結論與建議 83
5.1 結論 83
5.2 未來研究方向與建議 86
參考文獻 88
附錄 97
作 者 簡 介 116
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