| 研究生: |
楊蘭芃 Yang, Lan-peng |
|---|---|
| 論文名稱: |
以啟發式演算法求解多車次車輛路線問題 |
| 指導教授: |
張秀雲
Chang, Xiu-Yun |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 工業管理科學系 Department of Industrial Management Science |
| 論文出版年: | 2002 |
| 畢業學年度: | 90 |
| 語文別: | 中文 |
| 論文頁數: | 67 |
| 中文關鍵詞: | 多車次 、車輛路線 |
| 外文關鍵詞: | VRP |
| 相關次數: | 點閱:93 下載:6 |
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一般的車輛路線問題中,通常限制每台車只能執行一條路線的工作,而多車次車輛路線問題和以往一般車輛路線問題最大的不同在於車輛可以迴轉,也就是同一台車在條件允許的情況下,可以重複執行多條路線的工作,以節省車輛的固定使用成本,獲得更大的效益。
本研究設計了兩種求解具時窗之多車次車輛路線問題的方法,一為時間區段法,另一為最大工作量法。時間區段法乃根據多車次車輛路線問題的特性,使用二階段的方式處理;而最大工作量法的主要設計則是將二階段的處理過程合併。本研究以各種問題類型測試此兩種演算法,觀察在各種設定下之變化,並說明其有效規劃路線的原因及方法。
觀察測試結果,得到以下結論:
一、節點散佈情形影響車輛迴轉率,其中以群集分佈的節點最適合多車次方法。
二、所求路線數愈多,迴轉率會上升,但工作時間亦會增加,迴轉率及工作時間之取捨端看車輛的固定使用成本。
三、時窗寬窄影響求解結果。時窗愈寬,路線數及工作時間減少,且迴轉率上升,說明多車次問題在寬時窗的設定下,能夠得到較大的發揮。
四、多車次方法較適合車輛裝載容量低,路線數多的情形。
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