高科技廠房營建工程特性之調查與分析

Abstract

近年來電子高科技產業蓬勃發展，規模亦逐漸擴大，業者所需之高科技工業廠房進而逐漸熱絡。國內雖然高科技產業的發展相當迅速，但在科技廠房興建上之知識卻多靠個人經驗累積得來，少有廠房營建之專業經驗彙整並加以傳承，因此並無適當且實際之理論知識基礎可供學習，各廠建廠之經驗也無適當之管道進行交流，因此希望藉著本研究對高科技廠房特性進行之問卷調查所獲得之資料，透過有系統的研究整理分析，以實際且客觀之統計數據佐證高科技廠房之營建特性，作為未來建廠之營建相關從業人員參考。 本研究以「問卷調查」之研究方法對國內竹科、南科與各工業區之高科技廠房興建之現況進行資料蒐集與統計分析工作，透過回收之39份不同科技廠房專案，於高科技廠房之營建工程特性進行描述，其問卷內容主要分為專案基本資料、工程專案之基本描述、團隊組織、規劃階段、設計階段、招標發包階段、施工管理階段、使用營運階段和統包制度等大類。同時，本研究經由以專家訪談方式進行三件專案研究(case study)，對於前述問卷調查所列問題背後之蘊藏複雜度或意義，逐一作更深層之探索，進而佐證由問卷調查獲得之統計數據而下的結論。最後，本研究將藉由上述所獲得之高科技廠房營建工程專案之建廠經驗，建構一套作為業主或A/E/C使用之資料庫搜尋系統，以供管理者進行決策時作為參考之依據。

Although the growth of high-tech industrial facilities has been recently increasing due to the recent booming in electrical technology markets, the construction of these facilities is still experience-based and no construction knowledge has been well statistically analyzed and well documented. Without such knowledge for sharing between high-tech project practitioners, construction management techniques may not be appropriately applied to future projects. The objective of this study is to investigate the characteristics of high-tech construction projects by using questionnaire method and expert interviews. The results should help construction practitioners to have a better sense of the characteristics of high-tech construction projects and support their decision-making in facing new projects. The thirty-nine sample projects collected by questionnaire are mainly located at Hsin-Chu and Tainan science-based industrial parks. The characteristics listed in the questionnaire are such as the location, size, main construction method, team organization, and the construction management techniques applied in planning, design, procurement, construction, and maintenance phases. The sample data are statistically analyzed, provided with the corresponding interpretations that are retrieved from the expert interviews for three case projects. Finally, based on the collected sample data, a database retrieving system is developed for supporting management in understanding the performance of the historical projects with similar project characteristics.