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研究生:林東盈
研究生(外文):Dung-Ying Lin
論文名稱:路線貨運業司機排班問題之研究
論文名稱(外文):The Feeder Scheduling Problem for Time-definite Ground Delivery Common Carriers
指導教授:林正章林正章引用關係
指導教授(外文):Cheng-Chang Lin
學位類別:碩士
校院名稱:國立成功大學
系所名稱:交通管理學系碩博士班
學門:運輸服務學門
學類:運輸管理學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:103
中文關鍵詞:時效性貨運業者軸輻式網路貨物運輸司機排班問題
外文關鍵詞:freight transportfeeder scheduling problemtime-definite common carriershub-and-spoke network
相關次數:
  • 被引用被引用:8
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  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
台灣時效性貨物運輸業者提供托運人時效性之貨物遞送服務,業者為了改善效率,逐漸將營運網路轉換成為業界常採用之軸輻式營運網路,以降低營運成本。
在營運層級的規劃中,路線貨運業者必須決定貨物路徑、平衡貨櫃以及決定司機排班,司機排班問題為在司機工作規則限制下,決定最少的司機數目以滿足所有的車輛、貨櫃拖運需求,屬於營運規劃之子問題。於本研究之中,嘗試針對路線貨運業司機排班問題之特性發展兩種演算法:插入啟發式演算法以及以網路為基礎之網路演算法,期能有效率取代傳統業者採用之排班經驗法則。
在啟發式演算法中成功的降低了可行解區間,快速地求得可行解。網路演算法則將問題轉換成為網路問題,不僅求解速率高,求解品質亦較啟發式演算法佳。最後於實證研究之中以國內路線貨運業者為研究對象進行求解,發現本研究設計之演算法均能獲得品質相當優良的可行解,甚至能獲得最佳解。
The time-definite freight delivery common carriers provide door-to-door time guaranteed small shipment delivery services for shippers. To improve efficiency, the carriers in Taiwan try to use pure hub-and-spoke network as their operations network. The pure hub-and-spoke network consolidates partial loads with the result of lower operating cost, is the most common operations configuration for the industry. The operations planning determine freight routes, balanced trailer movements, and feeder schedules to guide daily operations. The feeder scheduling problem is to determine a minimum cost assignment of feeder drivers to planned loaded and empty trailer movements while meeting the work rules. In this research we explored the special characteristics of the problem and design two different algorithms to solve it: insertion heuristics algorithm and network-based algorithm. The insertion heuristics successfully reduces the size of schedule patterns set and solve the problem efficiently. In the second algorithm we introduce a network-based model that can both efficiently and effectively solve feeder scheduling problems for Taiwan time-definite freight common carriers using real constraints. In addition, the problem is modeled as an integer program instead of classic set partitioning problem. We used the operations network of the third largest common carrier in Taiwan with randomly generated demands for numerical testing. A very effective computational result demonstrates the two approaches are capable for practical implementation.
目錄 1
圖目錄 4
表目錄 5
第一章 緒論 6
1-1研究動機與目的 6
1-2研究範圍 6
1-3研究方法與流程 9
1-4本研究結構 10
第二章 文獻回顧 11
2-1路線貨運業 11
2-2組員排班問題 19
2-2-1組員配對問題 21
2-2-2組員名單分派問題 22
2-2-3其他產業組員排班研究彙整 22
2-2-4航空業組員排班常用演算法-變數產生法(column generation) 25
2-3軸輻式營運網路 26
2-4最小流量問題 28
2-5小結 31
第三章 路線貨運業司機排班之數學模式 32
3-1問題特性分析 32
3-1-1站所分類與時窗限制 33
3-1-2貨櫃分類 35
3-1-3車輛調度的特殊狀況:Bob-Tail 35
3-1-4司機工時限制 36
3-2問題定義 37
3-3數學模式 38
3-3-1數學符號定義 39
3-3-2路線貨運業司機排班問題最佳化模式 39
第四章 插入式啟發演算法 42
4-1插入式啟發演算法(Insertion heuristics)設計 42
4-2實例說明 45
第五章 網路演算法之設計 48
5-1產生網路矩陣 49
5-2決定網路原則 51
5-2-1網路時間區段分割 51
5-2-2時間過長貨櫃路段拆解 52
5-2-3決定hot load 與cold load原則 53
5-2-4節線連結方式 54
5-2-5排班規劃網路結構 56
5-3求解演算法 59
5-3-1演算法步驟 60
5-3-2數學模式轉化 65
5-3-3負成本迴圈處理機制 68
5-3-4最晚離開時間計算 72
5-4演算法虛擬碼與流程圖 74
第六章 實證研究 78
6-1實證研究數據 78
6-1-1測試數據一:10營業站所數據 79
6-1-2測試數據二:65營業站所數據 80
6-2正確解:路徑列舉(path enumeration) 80
6-2-1求解結果 80
6-2-2小結 82
6-3插入式啟發演算法 84
6-3-1求解結果 84
6-3-2小結 85
6-4網路演算法 86
6-4-1求解結果 86
6-4-2小結 87
6-5演算法與正確解之比較 88
6-5-1一般性比較 88
6-5-2插入式啟發演算法與正確解的比較 90
6-5-3網路演算法與正確解的比較 92
6-5-4網路演算法與啟發演算法的比較 94
第七章 結論與建議 96
7-1結論 96
7-2建議 97
7-2-1網路產生器 97
7-2-2實務界宜採用最佳化技術 97
7-2-3目標函數的調整 98
7-2-4應用於其他產業上 98
參考文獻 99
中文文獻 99
英文文獻 99
附錄、C語言程式碼 103
中文文獻
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英文文獻
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