傳統上專案排程大多仰賴規劃人員本身經驗，並利用排程軟體進行作業，然而此種作業方式，多著重於作業的順序，缺乏與成本項目相結合，造成施工作業內容與工程成本項目無法整合，亦使專案在執行過程中之各項控制指標無法確切反映出專案的狀狀況，進而無法進行有效的專案管理。為改善此情況，近來已有不少研究提出時間及成本整合之專案排程研究，然而這些研究所提出之做法大多因作業的繁瑣而不易實踐於真實的工程專案。
為改善上述專案排程方法之缺失，本研究結合知識本體論(Ontology)及BIM於工程專案排程作業以提升效率及品質。本研究從解析專案排程規劃與控制之資訊需求著手，利用Ontology架構，根據營建公司之成本項目、時程控制之資訊需求解析BIM元件與工項間的關係，產生BIM建模規則及建立工項施作規則，並建構BIM模型或分析已建構之BIM模型是否滿足排程之需求，再自動擷取出BIM模型資訊，並以施工分包工項為依據建構以施工區域方式結合時間之排程(Location-Based Schedule)。此外，以此架構建構之BIM模型及資料，將可新增外部相關資訊，進而提供未來各項分析及預測之用。

In current practice, an experienced project scheduler can employ the project scheduling software to efficiently develop the construction schedule by considering the activities. However, the costs related to the activities are usually roughly allocated according to detailed work items from the work packages. Such a schedule development approach commonly results in inefficient project management due to the poor integration of the project time and cost. Recently, many studies have shown promising results in integration of the project time and cost by taking advantages of the information retrieved from the Building Information Modeling (BIM). Nevertheless, retrieving information from the BIM could be time consuming and inefficient if the BIM is not properly developed according to the uses and needs. Ontology has been recognized to effectively define the information required for different uses, which can be really helpful in developing the BIM model.
This study combines ontology and BIM to efficiently improve the quality of developing the time-cost integrated construction schedule. First, through an in-depth analysis of the required information for planning and controlling the time and cost of the construction project is performed to establish the relationships between the work items and the associated BIM elements. Then, an ontology model is developed according to the result of the above analysis to define the specifications of BIM development. In addition, the BIM model of the construction project is built to fulfill the uses of scheduling subcontractors in terms of working areas. Furthermore, an algorithm is created to employ the information obtained from the BIM model to automatically generate the time-cost integrated and location-based schedule. With the proposed approach, the project management can be significantly improved by the time– cost– location integrated schedule generated.

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