機場護送員人力規劃模式暨求解演算法之研究

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孫晉聖(Ching-Sheng Sun) 查詢紙本館藏

畢業系所

土木工程學系

論文名稱

機場護送員人力規劃模式暨求解演算法之研究

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摘要(中)

機場行動不便旅客服務為機場營運時重要環節，其中，護送任務品質更是影響機場營運績效重要指標。實務上，目前國內外多數航空公司仍以傳統人工經驗進行任務指派，缺乏整體性規劃，容易造成旅客等待時間過長。同時，隨著旅遊風氣盛行與人口高齡化，護送任務數量逐漸上升，決策者如何更有效的調度護送員，降低行動不便旅客等待時間，為當前重要之課題。
本研究利用時空網路，同時配合數學規劃技巧，以最小人力需求為目標，構建一護送員人力規劃模式，並考量排班公平性發展一流量分解方法以進行較為適當之任務指派。在求解方面，由於本研究模式規模甚大，難以於合理時間內使用數學規劃軟體求得最佳解，因此本研究利用C++程式語言及CPLEX數學求解軟體，配合鬆弛固定演算法概念發展一啟發式解法以有效求解。同時，為評估模式實用性及演算法績效，本研究以國內某國際機場資料進行範例測試，且針對不同參數進行敏感度分析與方案分析，結果顯示本研究所發展之模式與演算法於實務上可有效的運用。本研究期望能幫助機場決策者解決實務上人力規劃問題，同時將本研究之結果提供給學術界相關研究參考。

摘要(英)

Airport services for passengers with reduced mobility (PRMs) are of significance in airport operation. The quality of escort tasks is especially one of the most important indicators regarding airport operations. In practice, most airlines at home and abroad still rely mainly on traditional manual experienced scheduling, which not only lacks a perspective of systematic optimization, but also easily causes passengers’ waiting time too long. At the same time, with the popularity of tourism and the aging population, the number of escort tasks have gradually increased. Therefore, how decision makers can dispatch escorts more effectively and reduce the waiting time for passengers with reduced mobility is an important issue at present.
In this study, the time-space network technique and the mathematical programming method are employed to build a manpower planning model for escorts with the goal of minimizing manpower requirements. In addition, this study also considers the fairness of scheduling to develop a flow decomposition algorithm for task assignment. In terms of solution, due to the large scale of this research model, it is difficult to use mathematical programming software to find the best solution within a reasonable period of time. In order to efficiently solve realistically large problems, we developed a Relax-and-Fix algorithm by C++ computer language and CPLEX mathematical programming software. To evaluate the practicability of the model and the performance of the algorithm, this research uses the data of the domestic international airport to conduct a sample test, and conducts sensitivity analysis and program analysis using different parameters. The results show that the model and algorithm developed by the research can be useful for dispatching escorts and tasks assignment in practice.

關鍵字(中)

★ 行動不便旅客
★ 最佳化
★ 時空網路
★ 鬆弛固定演算法
★ 流量分解

關鍵字(英)

★ passengers with reduced mobility
★ optimization
★ time-space network
★ Relax-and-Fix algorithm
★ flow decomposition algorithm

論文目次

摘要 I
ABSTRACT II
謝誌 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 3
第二章文獻回顧 5
2.1 機場旅客護送需求相關規劃與管理之文獻 5
2.2 人力規劃相關文獻 7
2.2.1 機場地勤人力規劃相關文獻 7
2.2.2 其他領域人力規劃相關文獻 9
2.3 時空網路 10
2.3.1 時間導向時空網路 10
2.3.2 事件導向時空網路 12
2.4 大型含額外限制整數網路流動問題啟發式演算法 13
2.5 文獻評析 14
第三章模式構建 15
3.1 問題描述 15
3.2 模式架構 17
3.1.1 模式基本假設與已知條件 17
3.1.2 護送員任務指派時空網路 19
3.1.3 符號說明與數學定式 23
3.1.3.1 模式之符號說明 23
3.1.3.2 數學定式 24
3.3 模式求解方法 25
3.3.1 啟發式演算法 25
3.3.1 流量分解 28
3.4 模式驗證 30
3.5 小結 33
第四章範例測試 34
4.1 資料輸入 34
4.1.1 護送任務相關資料 34
4.1.2 護送員及機場相關資料 35
4.1.3 模式參數設定 36
4.2 模式發展 37
4.2.1 問題規模 37
4.2.2 電腦演算環境設定 38
4.2.3 模式輸入及輸出資料 38
4.2.3.1 模式輸入資料 38
4.2.3.2 模式輸出資料 39
4.3 測試結果分析 39
4.3.1 啟發解演算法之測試分析 39
4.3.2 模式結果分析 43
4.4 敏感度分析 45
4.4.1 任務延遲懲罰成本之敏感度分析 45
4.4.2 任務放棄懲罰成本之敏感度分析 46
4.4.3 護送員步行速度之敏感度分析 48
4.5 方案分析 49
4.5.1 任務數量之方案分析 49
4.5.2 護送員休息區之方案分析 51
4.5.3 尖、離峰服務水準改變之方案分析 52
4.5.4 服務時間比例限制之方案分析 54
4.6 小結 56
第五章結論與建議 57
5.1 結論 57
5.2 建議 59
5.3 貢獻 60
參考文獻 61
附錄 66
附錄一範例測試之護送員任務指派結果 66
附錄二護送任務詳細資料 71

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指導教授

顏上堯(Shang-Yao Yan)

審核日期

2021-7-21

推文