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dc.contributor.authorLi, Ming-Chungen_US
dc.identifier.citation1. 張鴻展,「集合住宅建築模板工程之生產力分析」,碩士論文,台灣大學土木工程學系,2007。 2. 林俊成,「RC造中高層集合住宅外牆模板改良工法個案研究」,碩士論文,成功大學建築系,2008。 3. 朱煌林,「模板工程設計最佳化」,碩士論文,中央大學土木工程系,2002。 4. 謝肇欣,「應用二維切割方法求解鋁合金板材截剪問題」,碩士論文,逢甲大學工業工程與系統管理學系,2010。 5. 吳泰熙、吳奕樺、張欽智,「以基因演算法求解單原片方形物件排列問題」,科學與工程技術期刊,第二卷,第三期,2006,第75-83頁。 6. 黃智威,「整合施工時程於營建土石方運輸最佳化之研究」,碩士論文,中興大學土木工程學系,2012。 7. Babu, A. R., &Babu, N. R. “Effective nesting of rectangular parts in multiple rectangular sheets using genetic and heuristic algorithms.” International Journal of Production Research, 37(7), 1999, 1625-1643. 8. Wu, T. H., Chen, J. F., Low, C., & Tang, P. T. “Nesting of two-dimensional parts in multiple plates using hybrid algorithm.” International Journal of Production Research, 41(16), 2003, 3883-3900. 9. Benoist, T., Jeanjean, A., &Molin, P. “Minimum Formwork Stock problem on residential buildings construction sites.” 4OR, 7(3), 2009, 275-288. 10. Silva, E., Alvelos, F., &Valerio de Carvalho, J. M. “An integer programming model for two- and three-stage two-dimensional cutting stock problems.”European Journal of Operational Research, 2010, 205(3), 699-708. 11. Cui, Y., & Chen, Q. “Simple heuristic for the constrained two-dimensional cutting problem.”Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2012, 226(3), 565-572.en_US
dc.description.abstract目前高樓住宅林立,各地新建案也不斷推出,建築物之鋼筋混凝土構造占74.14%仍為最多。在高樓建築工程進度裡,結構體工程之工期占總工期約70%,模板工程工期占結構體工期進度約60%,故單一工項模板工程就占總工程工期約40%,對進度影響相當大,施工成本卻只占總工程款約6%,使模板工程被視為常見普通的工項,一般管理決策者並不重視。組模技術參差不齊,模板材料過度裁切,造成模板材料的浪費。如何將一片片模板組合成結構所需形狀與尺寸,達到模板材料最佳化是複雜的議題。 本研究針對高樓住宅樓板模板組合,為達到模板材料最佳化,結合「整數規劃」與「基因演算法」,研擬出一套「組模計畫」最佳模式(Formwork Assembly Optimization,簡稱FAO)。 FAO實際應用於施工中的高樓住宅建築工程,驗證FAO之效益並記錄實際執行過程與結果,本實例顯示單一層樓板FAO能節省模板材料10.14%之效益,本研究之成果可供日後採用FAO的參考依據。zh_TW
dc.description.abstractApproximately 70 percent of the overall high-building construction schedule is reported by Formwork Engineering, which carries significantly weights in the construction project, while about 60 percent of the overall schedule is reported in the structured construction. Therefore, Formwork Engineering has by far the most considerable influence-more than one-third of the overall construction schedule. As a result of the shortage of manpower, inappropriate module technology, and over-cutting materials, the increasing cost and delaying schedule are resulted in during formwork assembly. Improving the program of formwork assembly by cutting and combining the overall templates before grouting from pieces of original templates are the tough research subject. The Formwork Assembly Optimization (FAO) included two step based on the formwork assembly in the construction. First, exposed forms were put into a designed floor in the same direction and integer programming was used to complete the optimization of a trim at different sizes of X and Y edges. Second, genetic algorithms were exercised to search an approaching optimum solution of a not laying floor. In Zhubei city of Taiwan, FAO was applied successfully to a twenty-seven floors building with 23,992.11 square meters. With this FAO result, material cost can be effectively reduced at least 10.14 percent and an economic proposal of single floor form paving can be provided to contractors to place and trim the templates.en_US
dc.description.tableofcontents誌謝 i 摘要 ii Abstract iii 目錄 iv 圖目錄 v 表目錄 vii 第一章、 緒論 1 1.1 研究動機 1 1.2 研究目的 1 1.3 研究範圍 2 1.4 研究方法和流程 2 第二章、 文獻回顧 4 2.1 傳統模板的施工特性與問題 4 2.2 傳統模板改善方法相關研究 6 2.3 啟發式演算法 7 2.4 基因演算法(Genetic Algorithm) 7 2.5 整數規劃(Integer Programming) 8 2.6 小結 9 第三章、 理論方法 10 3.1 整體規劃 10 3.2 數學模式架構說明 13 3.3 剩餘料的再利用 15 3.4 基因演算法 16 3.5 訪談法與可行性研究 22 第四章、 實際案例分析與可行性探討 24 4.1 案例簡介 24 4.2 個案FAO最佳化結果 37 4.3 專家訪談 42 4.4 執行過程 43 4.5 執行結果 52 第五章、 結論與建議 55 5.1 結論 55 5.2 建議 55 參考文獻 56 中文文獻 56 英文文獻 57 附錄一 訪談記錄 58zh_TW
dc.subjectFormwork Assemblyen_US
dc.subjectTwo-Dimensional Cuttingen_US
dc.subjectInteger Programmingen_US
dc.subjectGenetic Algorithmsen_US
dc.titleFeasible Analytics for Optimization of Formwork in High-rise Buildingen_US
dc.typeThesis and Dissertationzh_TW
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