鋼骨工程為鋼構建築結構工程最重要的工程項目，目前鋼骨工程所採用之施工機具進行吊裝作業，大都以配置塔吊為主，而塔吊的吊裝工期與成本為影響專案成功度的重要關鍵因素，影響塔吊施工工期，以塔吊設備的配置與選擇最大，且不同之塔吊機械設備的配置和機型選擇，其成本亦隨之而異。因此如何因應塔吊機械配置和選擇，估算吊裝工期與成本，進而評估最適之吊裝計畫，為本研究之重點。
本研究應用BIM建立鋼骨建築資訊模型，開發REVIT-API建立塔吊配置所需之相關屬性，據此搜尋塔吊配置位置與機型的可能組合，再檢核各組合能否滿足作業範圍與荷重能力需求，並計算吊裝工期與成本，然後創新應用光學顯微鏡演算法(Optical Microscope Algorithm-OMA)搜尋不同塔吊配置組合之吊裝工期與成本之柏拉圖效率前緣，求得塔吊工期與成本取捨之最佳解。
再者，本研究將決策者之風險偏好納入考量，求得其偏好之無異曲線；最後再結合柏拉圖效率前緣，求得兩者之切點，進而建立一考量工期與成本兩規劃目標之塔吊配置最適規劃模式。本模式可協助塔吊施工廠商於擬定塔吊配置計畫時，在有限的人力與時間，於眾多的塔吊配置組合中，在滿足吊裝限制的前提下，快速有效的分析求得符合其風險偏好之最適塔吊配置計畫。

Steel structure construction is the most important work of steel structure building. Currently, the construction equipment used in steel structure buildings are mostly equipped with tower cranes for lifting operations. The erection duration and cost of tower crane are the key factors affecting the success of the project. Thus, how to estimate the erection duration and cost according to the layout and selection of tower cranes, and then evaluate the most suitable lifting plan is the focus of this study. There are many combinations of tower crane layout and model selection, and different combinations have different erection durations and costs. In this study, the BIM model of the project is first constructed and the related attributes are established and used to check the operation radius and loading capacity of the tower cranes for feasible combinations. And then, the hoisting duration and cost are calculated accordingly. To trade-off the duration and cost, a novel Optical Microscope Algorithm (OMA) is developed to identify the pareto front. Moreover, an indifference curve representing the risk preference of the decision-maker is also identified. Combining both, this study develops the optimal tower crane layout planning model considering the two project objectives in terms of time and cost. Under the conditions of limited labor power and time, and numerous tower crane layout combinations with the premise of meeting hoisting restrictions, this model can quickly and effectively assist construction decision-makers to configure the most suitable tower crane layout plan along with their risk preferences.

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