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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/34545

    Title: 質群演算法應用於鋼筋裁切最佳化問題之研究
    Other Titles: Using particle swarm optimization to plan of cutting steel bars
    Authors: 李冠廷;Li, Kung-ting
    Contributors: 淡江大學土木工程學系碩士班
    楊亦東;Yang, I-tung
    Keywords: 質群演算法;鋼筋裁切;施工管理;成本;最佳化;Particle Swarm Optimization (PSO);steel bar cutting;construction management;cost;Optimization
    Date: 2007
    Issue Date: 2010-01-11 05:22:11 (UTC+8)
    Abstract: 近年來整體的營建市場較為不景氣,因此目前營建公司將成本的控制視為重要的一環,期望藉由工程技術的提昇,以降低工程費用的支出。
    Since construction industry has been under recession in recent years, construction companies treat cost control as an important issue. It is expected that enhancing construction technique can reduce the cost.
    The steel bar to be cut is selected from steel bar raw material of fixed sizes by optimization. To precisely plan which steel bar raw material should be cut to produce specific steel bars, the cutting plan of raw material was developed. The objective of this research is to minimize total cost of steel bar, including return value of cut but not used steel bar, resell value of surplus steel bar and reduced cost by cut frequency reduction. Total steel bar cost minimization will contribute to steel bar construction cost. In the long-term, a sound steel bar cut plan can avoid tremendous dispensable cost.
    This research proposed a steel bar cutting model, which includes a new Particle Swarm Optimization (PSO). The PSO utilizes the concept of swarm intelligence to obtain the optimal solution efficiently. The model was applied to real cases. The results verified that the proposed model can produce a solution of a high quality cut plan correctly and efficiently. The model is computerized to save planning manpower, enhance construction quality and satisfy job site construction requirements.
    Appears in Collections:[土木工程學系暨研究所] 學位論文

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