公共工程施工爭議分析暨自動化爭議預警與調解預測模式之研究

ANALYZING INFRASTRUCTURE CONSTRUCTION DISPUTE AND THE RESEARCH OF AUTOMATION DISPUTE EARLY ADMONITION PLUS DISPUTE MEDIATION RESULT PREDICTION MODEL

鄧文廣(Wen-Kuang Teng)

指導教授 ： 曾惠斌

國立臺灣大學/工學院/土木工程學研究所/博士(2008年)

https://doi.org/10.6342/NTU.2008.00654

摘要

任何公共工程都有發生爭議的可能，不論發生何種類型之爭議，對業主或對廠商都會造成很大的困擾，且會增加雙方額外的成本支出及增加人力去處理爭議事件；甚至造成工程無法完成，雙方進行法律訴訟以求解決。1999年5月27日，政府實行一項名為「政府採購法」的新法令，該法令中訂有一項特殊的「爭議處理」制度，由政府設立專責的採購申訴爭議調解委員會，以公正第三團體的立場，介入調解營造廠商與政府機關間的工程爭議，避免雙方進入司法訴訟冗長的程序，浪費時間及增加成本方支出。此一爭議處理制度，是於發生工程爭議案件後，經一方提出申請才進行爭議調解，是一項被動性爭議處理制度。本研究除介紹此一爭議調解制度外，並結合公共工程委員會之研究及爭議調解案例，分析台灣公共工程發生爭議之類型及原因，提供因應措施之建議。
此外，共蒐集491件爭議調解案例，發展可以判斷公共工程可能產生爭議的主動性預警模式，以及爭議調解結果的預測模式。本研究先歸納出爭議因子，以李克特式多選項量表向調解委員會之諮詢委員作問卷調查，再將問卷調查結果以統計學上的項目分析、因素分析及信度分析作爭議因子的校驗。將符合整體解釋變異量的爭議因子，進一步向調解委員會之調解委員作模糊理論問卷調查，取得發生爭議之模糊規則。經過完整之理論分析後，發展出二套爭議預測模式：其一為將模糊問卷調查結果，運用模糊理論方法，評估公共工程可能發生施工爭議風險的量化預警方法，使機關及廠商雙方在簽訂契約之同時，就能依據雙方之組織特性、工程特性及契約特性等因子，事先評估發生施工爭議的可能性作為預警。其二為運用倒傳遞類神經網路架構作訓練，建立自動化預測模式；當發生施工爭議事件，可經由爭議事件內容及請求項目之事先評估，了解若經由公共工程委員會調解程序解決爭議事件，最可能得到的爭議調解結果。

藉由本研究所建立模式之預測結果，可以讓爭議雙方能在工地迅速協調解決，不必再經過調解程序，使機關及廠商減少額外成本支出及降低處理爭議人力而受益，同時減少國內公共工程爭議事件之發生。

關鍵字

爭議 ； 調解 ； 因素分析 ； 李克特式量表 ； 影響圖 ； 模糊理論 ； 倒傳遞類神經網路

並列摘要

Regardless of the pattern of construction disputes, will creates additional costs in terms of money and time for both owner and contractor. The Taiwanese government promulgated the Government Procurement Act (GPA) on the 27th of May, 1998, and administer on the 27th of May, 1999. This Act established a system of government characterized by fair and open procurement procedures, which promotes efficient and effective government procurement operations, and ensures procurement quality. The most notable achievement of this act was to create a system for the government to use in mediating construction disputes. This mediation system establishes the Complaint Review Board for Government Procurement (CRBGP) committee by Public Construction Commission (PCC) which acts as an impartial third-party for mediating disputes when contractors submitted requests to mediate construction disputes based on chapter six of the GPA. This Act established a Dispute Mediation System (DMS) to mediate construction disputes involving contractors and the administration and attempted to reduce associated litigation. However, the DMS system does not become active in mediating construction disputes until submit a specifically requested by the contractor. This study not only introduces this dispute mediation system but also analyzes previous dispute mediation cases involving Taiwanese infrastructure projects, including dispute patterns, succinct case explanations, and mediation suggestions.
Additional, in this study, 491 dispute cases mediated by the Complaint Review Board for Government Procurement (CRBGP) committee were collected and analyzed. In the first place, the construction types, dispute cause, and mediating items of the dispute cases were summarized. Secondly, the Likert-type Scale was used in the questionnaire surveys and the dispute factors were verified using item, factor, and reliability analyses together with the results of the mediation. Thirdly, to develop two prediction models for construction projects. The first model, the verified data were analyzed using a Fuzzy-theory to develop an automation dispute early admonition system. Both of the administration and contractor can stand on their organization parameters, engineering parameters and contract parameters to evaluate the possibility of dispute of construction project for early admonition, previously. The second model, the verified data were analyzed using a back-propagation neural network in order to develop a model of an automatic prediction which can help both parties understand the possible results of dispute mediation. The major contribution of this study is that the automatic neural network model can be applied to construction dispute cases on site. Thus, when cases are quickly resolved without going through the mediating procedures, both parties benefit from it.

The major contribution of this study is that the both of automatic Fuzzy-theory dispute early admonition system and Neural-network mediation result prediction model can be applied to construction dispute cases on site. Thus, when cases are quickly resolved without going through the mediating procedures, both parties benefit from it.

並列關鍵字

dispute ； mediation ； factor analyses ； Likert-type Scale ； influence diagrams

參考文獻

2. 行政院公共工程委員會，「政府採購法令彙編」，行政院公共工程委員會，2006年4月，台北。

3. 行政院公共工程委員會，「政府採購履約爭議處理案例彙編（一）」，行政院公共工程委員會，2001年3月，台北。

5. 行政院公共工程委員會，「採購履約爭議調解規則」，行政院公共工程委員會，2006年4月，台北。

4. Chen, S. and Billings, S. A. (1992). “Neural Networks for Nonlinear Dynamic System Modeling and Identification”.International Journal of Control.56(2):319-346

5. Chester, D. (1990). “Why Two Hidden Layers are Better then One”. In Proceeding. IEEE International Joint Conference on Neural Networks. Washington, DC. 265-268