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題名：營建技術創新方案產生模式之研究
作者：吳誌銘
作者(外文)：Wu, Chih-Ming
校院名稱：中華大學
系所名稱：科技管理博士學位學程
指導教授：余文德
鄭紹材
學位類別：博士
出版日期：2012
主題關鍵詞：營建技術；系統化創新；自動化創新；構想產生；Construction technology；Systematic innovation；Automatic innovation；Generation Alternatives
原始連結：連回原系統網址new window
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過去有關營建技術創新之方法，多偏向施工性改善以及流程模擬方面之研究，此種方式受限於工程人員過去的知識與經驗，導致技術創新幅度有限。本研究提出營建技術創新方案產生模式(簡稱MUGICA模式)，其中包含兩項技術創新方法流程，一為系統化技術創新流程模式(簡稱STIP模式)，另一項為具技術自我演化功能的創新構想自動化產生模式(簡稱MAGIA模式)。STIP模式整合根原因分析、功能模型分析、TRIZ、電腦輔助創新等工具所建立之系統化創新流程；MAGIA模式為針對構想產生與選擇階段，將目標技術所建立之功能模型轉換為演化樹，提供基因演算法進行演化以產生構想達到自動化創新的效果；最後再發展電腦雛形系統並以四個實證案例驗證MUGICA模式為可行。本研究之主要研究成果包括：(1)建立一套可分析與呈現營建技術之模型語言；(2)應用基因演算法建立技術創新的目標函數設定；(3)建構營建技術創新方案產生模式與流程。對於MUGICA未來研究建議包括：(1)未來可針對不同技術領域或需求設立不同之目標函數，例如綠色設計、環境友善度設計等；(2)針對兩項以上或更複雜之技術系統進行應用；以及(3)發展更系統化方式將演化結果以實體模型進行呈現。
Previous research on the innovation of construction technologies includes constructability analysis and process simulation. Such approaches were limited to existing processes or innovator’s experiences and knowledge, thus are essentially incremental. This research proposes a Model Used for the Generation of Innovative Construction Alternatives (MUGICA) for innovation of construction technologies, which contains two models: a Systematic Technology Innovation Process (STIP) and a Model for Automated Generation of Innovative Alternatives (MAGIA). The STIP model integrates roots cause analysis, function modeling, TRIZ, and computer aided innovation (CAI) to provide a systematic approach for effective construction innovation. The MAGIA model adopts previous technological information stored in the public patent databases as the design knowledge for building the function model of target technology; it is then translated into a genetic operation tree (GOT) for evolution with GA; finally, a computer prototype system was developed for the MUGICA. Four construction technologies are selected as case studies to demonstrate the feasibility and potential of the proposed method for automated innovation of construction technologies. Major results of the current research include: (1) a modeling language for representing construction technologies; (2) an appropriate objective function for guidance of technology innovation; and (3) proposes a model used for the generation of innovative construction alternatives. Future directions for research include: (1) a more suitable fitness function is needed to reflect the objectives set up by the user, e.g., the more sustainable or green solutions; (2) a more powerful computational algorithm is desired, e.g., an algorithm to tackle evolutions of inter-species of candidate innovative alternatives; (3) a more systematic approach for model realization to replace the current manual approach.
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臺灣人文及社會科學引文索引資料庫

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