博碩士論文 973202077 詳細資訊




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姓名 陳冠霖(Kuan-lin Chen)  查詢紙本館藏   畢業系所 土木工程學系
論文名稱 土石方調派作業暨傾卸卡車派遣規劃之研究
(Soil and Rock Deploy and Dump Truck Dispatch Planning)
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摘要(中) 營建工程中,土石方之運送方式以傾卸卡車為主,如何以快速、有效並節省成本的方法調派土石方及車輛資源,實為工程業者獲利之關鍵。但實務界於資源調派作業上仍以人工經驗的方式進行規劃,此方式缺乏系統最佳化分析,於小規模工程中尚可勝任,但於大規模工程如捷運興建工程中,則往往因缺乏整體車輛調度的考量,進而導致工程進度延宕或影響周邊道路交通順暢,實為資源的浪費,也直接降低營運績效。因此本研究以系統最佳化的觀點,針對傾卸卡車派遣規劃問題發展適合之模式及求解演算法,以提供決策者輔助工具,有效地規劃傾卸卡車的運送排程。
本研究利用時空網路流動技巧以定式傾卸卡車及其所載運之土石方在時空中的流動狀況,並根據問題特性加入額外限制,以期符合實務營運條件,並據以構建模式。本模式可定式為含額外限制之多目標整數網路流動問題,屬NP-hard問題,在面對實務大型的問題時,難以在有限的時間內求得最佳解。因此,為有效地求解實務大型問題,本研究利用問題分解策略,並配合使用數學規劃套裝軟體CPLEX,發展一有效的求解演算法。最後,為評估本模式與演算法之實際求解績效,本研究以台灣一大型營建工程之營運資料為範例進行測試與分析,結果甚佳,顯示本研究發展之模式與求解演算法可為實物業者之參考,以有效解決土石方調派及傾卸卡車排程規劃問題。
摘要(英) In the construction projects, Dump truck is the main form of transporting soil and rock. How to fast, efficient and cost-saving resources deployed soil and rock and vehicles is a key project profit of the industry. But practitioners operating in the resources deployed are still manually determined with staff experience. In the Small-scale projects can still be qualified. However, in the large-scale projects such as the MRT construction project is often due to lack of integrated vehicle scheduling considerations. And this led to the progress of road traffic delay or affects the surrounding smooth. Consequently, the resulting solution, though feasible, could possibly be inferior. Therefore, in this research we focus on the soil and rock deployed operating and dump truck dispatch plan to develop a suitable model from the system optimization perspective. The model is expected to be useful planning tool for carriers to on their optimal soil and rock deploying and dump truck dispatching in their operations.
We employ time-space network flow techniques to formulate the dump truck flows and the soil and rock flows in the dimension of time and space, coupled with suitable side constaints comply real operating requirements, to develop the model. The model is formulated as an integer network flow problem with side constraints, which is characterized as NP-hard and is difficult to be optimally solved in a reasonable time for large-scale problem. In order to efficiently solve large-scale problems occurring in real world, we develop a solution algorithm. To evaluate the model and solution algorithm, we perform a case study using real operating data from a large construction project in Taiwan. The test results show that the model and the solution algorithm are good and could be useful references for carriers to handle soil and rock deploying and dump truck dispatching.
關鍵字(中) ★ 啟發解法
★ 時空網路
★ 營建剩餘土石方
★ 傾卸卡車排程
★ 含額外限制網路流動問題
關鍵字(英) ★ soil and rock
★ dump truck dispatching
★ network flow problem with side constraints
★ time-space network
★ heuristic algorithm
論文目次 摘要I
ABSTRACTII
誌謝III
目 錄IV
圖目錄VII
表目錄VIII
第一章 緒論1
1.1 研究背景與動機 1
1.2 研究目的與範圍 2
1.3 研究方法與流程 2
第二章 文獻回顧4
2.1 土石方工程作業與傾卸卡車調派相關文獻4
2.2 時窗限制之車輛派遣/排程問題5
2.3 時空網路的相關文獻7
2.4 大型含額外限制之整數網路流動問題啟發式演算法 9
2.5 文獻評析11
第三章 模式構建13
3.1 現況分析13
3.2 傾卸卡車派遣模式16
3.2.1 模式基本假設或給定資訊 16
3.2.2 車流時空網路 18
3.2.3 物流時空網路 22
3.2.4符號說明28
3.2.5 數學定式29
3.3 模式應用30
3.4 小結 31
第四章 模式求解32
4.1 啟發解法架構32
4.2 單一車輛定線法 34
4.3 小結 34
第五章 範例測試35
5.1資料輸入35
5.1.1 車輛任務時間資料35
5.1.2 土石方價格及營運成本資料35
5.2模式發展36
5.2.1問題規模36
5.2.2 模式輸入資料 37
5.3電腦演算環境及設定37
5.3.1 電腦演算環境 37
5.3.3 模式輸出資料 38
5.4測試結果與分析38
5.5 敏感度分析40
5.5.1傾卸卡車規模敏感度分析40
5.5.2 土石方供給與需求大小敏感度分析42
5.5.3土石方價格敏感度分析48
5.5.4土石方工地滯留成本大小敏感度分析 49
5.5.5 車輛任務成本大小敏感度分析51
5.6 情境分析54
5.6.1問題規模大小之情境分析54
5.6.2土石方供需比大小之敏感度分析56
5.7小結 57
第六章 結論與建議 59
6.1 結論 59
6.2 建議 60
6.3 貢獻 61
參考文獻 63
附錄70
附錄一 CPLEX Callable Library Code70
附錄二 任務時間資料 71
附錄三 車輛流量分解 73
附錄四 傾卸卡車作業排班表74
附錄五 傾卸卡車規模敏感度分析 78
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指導教授 顏上堯(Shang-Yao Yan) 審核日期 2010-7-16
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