研究生: |
王鑫 Hsiu - Wang |
---|---|
論文名稱: |
橋梁工程決標金額模擬之建構與應用 application of simulation for award amounts of Bridge construction project |
指導教授: |
周瑞生
Jui-Sheng Chou |
口試委員: |
楊亦東
I-Tung Yang 黃榮堯 Rong-Yau Huang |
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: | 2010 |
畢業學年度: | 98 |
語文別: | 中文 |
論文頁數: | 55 |
中文關鍵詞: | 蒙地卡羅模擬 、模糊層級分析法 、競標理論 、成本管理 |
外文關鍵詞: | Monte Carlo Simulation, Fuzzy AHP, Competitive Bidding Theory, Cost Management |
相關次數: | 點閱:319 下載:5 |
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營造產業屬傳統產業,長期標案競爭下,承包廠商對於工程之工料成本、管理資金及風險控管日益精細,各競標決策人員進行競標金額估算費時冗長,又因材料價格變動、工作環境良莠不齊等變因,造成價格計算不易,故競標廠商多利用主觀經驗判斷法(Experienced Judgment Method)進行初期成本推估。但不同的專業人員主觀判斷容易造成估算結果有所差異,無法有效精算成本參考值進行標案競爭,亦或工程進行中發現與經驗衝突及人為估算的錯誤,反致公司陷入虧損的窘境。本年度計畫(第二年度)研究延續並改良上年度所提出之研究方法,從政府電子採購網站針對橋梁工程下載民國97年至98年橋梁新建、改建、修建的營建專案資料,應用問卷調查、專家訪談、案例研究及層級分析法(Analytic Hierarchy Process ; AHP)結合模糊理論(Fuzzy Set)決定影響成本屬性之權重,其次結合蒙地卡羅模擬法( Monte Carlo Simulation)所得之累積機率分佈曲線(Cumulative Distribution Functions;CDF)提供不同信心水準下的成本資訊,推求成本可靠度(Reliability),模型的系統化建構流程與機率曲線期能作為推估成本與評估價格風險的分析工具。
Construction industry in one of the conventional industries. Through severe competitions, contractors have been spending lots of effort in the management and control of not only material cost but also running capital and risk. Due to the limited availability of tools or any reliable methodology, executives need to rely largely on their experience and make judgments about a lot of uncertainties before they can come up with a viable bidding price to win projects. Such a subjective approach could make contractors vulnerable to incidences or events which cannot be anticipated or even in total confliction with their experience. In this study, bridge construction projects data were collected from the government e-procurement system, covering not only new but also rebuild and repair constructions. Fuzzy Set and Analytic Hierarchy Processes are applied on these data to identify the weight of various factors that could affect the cost which were further substantiated by questionnaire survey, expert consultancy and case studies. The Cumulative Distribution Functions derived from Monte Carlo Simulation is then used to offer viable cost estimates at different confidence levels; along with the associated reliability. The contribution of this study is therefore to offer a structured and systematic cost estimate model to support cost/bidding decision as well as risk management.
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