隨著工程規模日趨龐大、複雜化，專案排程已非傳統仰賴人為經驗的方式所能勝任，為改善此瓶頸，近來已有許多關於排程最佳化之研究，如運用人工智慧（AI）建立自動排程模式以尋求更合理之排程結果，或是運用4D模型來協助排程規劃等；然而，多數研究對於排程資訊的處理程序與資訊整合的作法則未多加考量，以致所產生之排程結果，不易滿足實際施工管理的需求。
為改善上述專案排程方法之缺失，本研究從解析施工管控之資訊需求著手，運用結合多面向工程屬性資料之多維度建物元件（MD Object）建構專案多維度資訊模型（MD Model），以提升專案排程與施工管控之資訊整合能力；而在排程模式的建構上，建立物件施作程序矩陣（OWPM），控制建物元件連續之施作排序，再以基因演算法（sGA）多點搜尋之演化機制，來獲得專案中工項/工組之最佳資源分派組合，並透過MD Model所整合之專案合約項目內容，提供排程需求之資訊，考量各項排程影響因子：分區規劃、施工方法、資源限制、工作流程以及工率等，建立一個以合約項目為基礎之自動排程模式；另一方面，本研究於排程系統中以實作數量計量法，使規劃人員可依現況之限制條件及專案目標，調整排程因子後快速建立專案之重排程。
此外，在排程模式的驗證上，本研究以所開發之MD-APSS系統（MD Model Based Automatically Project Scheduling System），將此自動排程模式運用於實際施工管控，經由案例驗證結果顯示：1.MD Model 之資訊整合能力，使專案排程可同時考量不同面向之限制條件，並滿足施工管控之資訊需求。2.以合約項目為基礎之排程結果，使管理人員可確實掌握專案在成本、資源及進度之執行現況，並符合施工單位以合約項目為基礎之管理模式。3.本研究排程模式可改善以往不易依據施工現況重新調整專案排程之缺失。

Emphasized on the construction-driven concept, this research develops a contract-item-based automated scheduling system using Multi-Dimensional (MD) CAD objects. The construction project schedule is mostly developed based on the planner’s experiences. However, with construction projects become more complex and larger in scale, the manual approach is insufficient to meet the requirement of scheduling. Recent research efforts have been devoted to the optimization of project scheduling, for example, utilizing Artificial Intelligence (AI) or applying four-dimensional (4D) model to assist in project planning. However, most of the researches, the process of scheduling information and methodology of information integration, don't advise that two important factors in supporting the actual requirements for construction management.
Therefore, this study aims at developing a Multi-dimensional (MD) model based on MD objects. This approach helps to enhance the capabilities of integrating project information and provide adequate information for project planning. As for the development of the scheduling model, the Object Working-Process Matrix (OWPM) is adopted to formulate the sequence of constructing building components. The simple genetic algorithms (sGA) is then applied to acquire the optimal assignment of project resources. Moreover, several impact factors of scheduling are also taken into consideration within the model development.
Based on the result of this study, the performance of the proposed MD-Model-Based Automated Project Scheduling System (MD-APSS). The result has proved that the MD-APSS system is capable of efficiently integrating project information by applying MD Model. Moreover, the contract-item-based scheduling model has fully supported the administrator in mastering the execution of re-scheduling, cost control, progress control, and resource management.

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