研究生: |
洪宏儒 Hung-Ju Hung |
---|---|
論文名稱: |
專案工期、成本及品質多目標最適規劃模式 —以機場跑道整建工程為例 Optimized Multi-Objective Planning for Airport Runway Renovation Projects Considering Time-Cost-Quality Trade Off |
指導教授: |
鄭明淵
Min-Yuan Cheng 周瑞生 Jui-Sheng Chou |
口試委員: |
潘南飛
Nang-Fei Pan 何嘉浚 Chia-Chun Ho 周瑞生 Jui-Sheng Chou 鄭明淵 Cheng Min-Yuan |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 營建工程系 Department of Civil and Construction Engineering |
論文出版年: | 2023 |
畢業學年度: | 111 |
語文別: | 中文 |
論文頁數: | 81 |
中文關鍵詞: | 剛性鋪面 、多目標最適規劃 、模糊偏好關係(FPR) 、光學顯微鏡演算法(OMA) 、柏拉圖效率前緣 、無異曲線 |
外文關鍵詞: | Rigid Pavement, Multi-Objectives Optimization, Fuzzy Preference Relation (FPR), Optical Microscope Algorithm (OMA), Pareto Efficiency Front, Indifference Curve |
相關次數: | 點閱:285 下載:0 |
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機場為國家航空運輸之國門,臺灣多數機場已成立超過30 年以上,近幾年已投入相當的預算及人力進行航站內機場跑道等基礎設施之維護及整建,為求節省預算及有限時間內完成,且更進一步提升工程水準品質,故將此課題當成本研究的主軸,透過對機場跑道鋪面維護施工的瞭解,導入多目標最適規劃為論文研究的主要方向。
本研究蒐集臺南歸仁營區機場跑道整建工程案例,彙整其剛性鋪面跑道分段施工之各區段所使用工期及成本,並透過實際參與該工程人員,以模糊偏好關係(FPR),定出「品質評分項目」相對重要性後,獲得代表該工程之品質數據,然後藉由創新發展「光學顯微鏡演算法」(Optical Microscope Algorithm-OMA)找出專案工程工期、成本、品質之柏拉圖效率前緣,求得機場跑道整建工程最適規劃。
此外,本研究將決策者風險偏好納入考量,以模糊理論來決定決策者之偏好函數,進而求得無異曲線,再結合柏拉圖效率前緣,求得兩者之切點,建立機場跑道整建工程風險偏好最適規劃模式,供其決策者於規劃擬定專案工程工期、成本與品質三大目標之參考依據。
The airport is the gateway to the country's air transport. Most airports in Taiwan have been established for more than 30 years. In recent years, considerable budget and manpower have been invested in the maintenance and renovation of infrastructure such as runways in the terminal. In order to save budget and limited time It has been completed, and the quality of the project has been further improved. Therefore, this topic is taken as the main axis of cost research. Through the understanding of airport runway pavement maintenance and construction, the introduction of multi-objective optimal planning is the main direction of the thesis research.This study collects the cases of the airport runway reconstruction project in Guiren Camp District, Tainan, summarizes the construction period and cost of each section of the rigid pavement runway segmented construction, and determines the fuzzy preference relationship (FPR) through the actual personnel involved in the project. After the relative importance of the "quality scoring items", obtain the quality data representing the project, and then find out the Plato of project duration, cost, and quality through the innovative development of optical microscope algorithm (Optical Microscope Algorithm-OMA) Efficiency frontier to obtain the most suitable planning for the airport runway renovation project. In addition, this study takes the risk preference of decision makers into consideration, uses fuzzy theory to determine the preference function of decision makers, and then obtains the indifference curve, and then combines the Plato efficiency front to obtain the tangent point between the two, and establishes the airport runway renovation project The most suitable planning model for risk appetite is a reference for its decision makers to plan and formulate the three major goals of project duration, cost and quality.
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