| 摘要: | 營建產業正逐漸轉向採用高效、永續和技術創新的施工方法，因為傳統施工方法常因材料浪費大、碳排多、勞動力需求大和工期長而受到批評，在日益嚴峻的環境和經濟挑戰中變得不受歡迎。相較之下，預鑄工法是一種現代化的施工方法，透過減少浪費、優化資源和能源消耗來提高永續性。美國、英國、中國和新加坡等國家已成功將預鑄工法融入其產業中。然而，儘管預鑄工法擁有前述優勢，包括台灣在內的國家和地區仍然面臨阻礙預鑄工法大規模採用的多重障礙，限制了其對產業永續的貢獻。
本研究提出了一種系統化的方法來識別、分析和克服台灣採用預鑄工法的主要障礙。透過廣泛的文獻分析，確定了41個全球性的障礙，並透過專家的協助針對台灣的市場環境進行調整。本研究進一步利用Interpretive Structural Modeling (ISM) - matrice d′impacts croisés-multiplication appliquée à un classement (MICMAC) 和 Partial Least Squares Structural Equation Modeling (PLS-SEM) 相互結合的方法來克服個別方法的局限性，以分析預鑄工法採用的系統性挑戰。本研究利用ISM-MICMAC方法定性地反應了障礙的層次結構和相互依賴性，並根據其驅動力和依賴性進行分類。為了驗證和量化這些關係，本研究進一步採用PLS-SEM方法，以提供統計性資訊並測量因子間的因果影響強度。
研究結果顯示，投資限制、供應鏈分散、設計流程不靈活、技能和知識落差、監管不一致是阻礙台灣預鑄工法廣泛應用的最大障礙。此外，ISM-MICMAC方法確定了政府支持不足和標準化差距等關鍵基礎驅動因素，而PLS-SEM方法則證實了技能和勞動力相關、技術和科技以及政策和監管障礙的關鍵影響。基於這些發現，本研究提出以下策略性方向：增加投資和整合供應鏈、改善採購系統和監管架購、落實靈活的設計作法、透過BIM、AI和IoT等技術加強數位化、加強勞動力培訓和教育、改善現場施工與供應鏈之協作、並透過有目的性的研發計畫促進創新。
本研究認為透過採用系統化、結構化的方法可以減少預鑄工法應用之障礙，進而使台灣可以加速預鑄工法的採用，以發展更具有彈性、永續的營建產業。期待本研究提供的發現與建議，可為促進台灣及類似營建市場的永續預鑄工法發展提供清晰可參考的路徑圖。;The construction industry is shifting toward efficient, sustainable, and technologically advanced methods, as traditional practices are criticized for high material waste, carbon emissions, labor shortages, and prolonged timelines, making them less viable amid growing environmental and economic challenges. In contrast, Prefabricated Construction (PC), a modern construction method, enhances sustainability by reducing waste, optimizing resources, and energy consumption. Countries include the US, China, and Singapore have successfully integrated PC into their construction practices. However, despite these advantages, countries including Taiwan continues to face multiple barriers hindering the large-scale adoption of PC, limiting its contribution to sustainable industrial advancement.
This study presents a systemic approach to identifying, analyzing, and overcoming key barriers to PC adoption in Taiwan. Through an extensive literature review, 41 barriers were identified from a global perspective and tailored to local market by expert validation, covering economic, technological, regulatory, and workforce-related challenges. A combined Interpretive Structural Modeling (ISM)- matrice d′impacts croisés-multiplication appliquée à un classement (MICMAC) and Partial Least Squares Structural Equation Modeling (PLS-SEM) approach was adopted to address the limitations of each method and provides a holistic understanding of the systemic challenges to PC adoption. ISM-MICMAC qualitatively mapped the hierarchical structure and interdependencies of barriers, classifying them by their dependence and driving power. To validate and quantify these relationships, PLS-SEM was employed, offering statistical support and measuring the strength of causal influence among constructs.
The findings reveal that investment limitations, fragmented supply chains, inflexible design processes, skills and knowledge gaps, and regulatory inconsistencies are the most influential barriers obstructing sustainable PC advancement in Taiwan. ISM-MICMAC identified key foundational drivers such as inadequate government support and standardization gaps, while PLS-SEM confirmed the critical impact of skills and labor-related, technical and technological, and policy and regulatory barriers. Based on these insights, the study proposes strategic directions focused on increasing investment and integrating supply chains, reforming procurement systems and regulatory frameworks, enabling flexible design practices, strengthening digitalization through BIM, AI, and IoT technologies, enhancing workforce training and education, improving site and logistics coordination, and promoting innovation through targeted R&D initiatives.
By adopting a systemic, structured approach to barrier mitigation, Taiwan can accelerate PC adoption, reduce its environmental footprint, and develop a resilient, sustainable construction industry. The study offers valuable insights for policymakers, industry stakeholders, and researchers, providing a clear roadmap for fostering sustainable PC in Taiwan and similar markets. |
