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

• Main Authors: Wen-Kuang Teng, 鄧文廣
• Other Authors: H-Ping Tserng
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/90684366991067374700

博士 === 國立臺灣大學 === 土木工程學研究所 === 96 === 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.