The Research of Project Performance Index for Construction Consultance Services
Date Issued
2010
Date
2010
Author(s)
Lee, Cho-Han
Abstract
The management of the construction project life cycle in Taiwan only focuses on the construction stage, and does not include evaluation on the contractors. PCC pointed out that some engineers are responsible for hundreds of projects at the same time, and this causes poor quality. The main goal of this study is to propose a method for the evaluation of contractors to improve the construction quality in Taiwan.
The main goal of this study is to propose criteria for the evaluation on construction consultance services based on the PCC project of 《To Propose Criteria for The Evaluation and Management System on Construction Contractors Service Providers Entrusted by Entities》. My research evaluation indexes are divided into “plan and design” and “supervision” phases. I have proposed 17 evaluation indexes for “plan and design” and 13 for “supervision” according to past literatures, interviews, surveys, and suggestions of experts, According to 122 surveys, I have quantified the opinions of testers to establish an objective evaluation criteria.
There are four factors in the evaluation of the “plan and design” phase: project staffing, completeness and correctness, correctness of budgeting, and degree of project acquisition. There are 14 indexes under these 4 factors. There are three factors in the evaluation of the “supervision” phase: implementing supervisor’s work, the record and notify of site condition, and to take action to maintain engineering quality. There are 12 indexes under these 3 factors. The survey results are analyzed to find diversity between the opinions of public and private sectors to find the top five important indexes. Finally we set a Usability test table with five range operational definitions, and use 16 cases study do some analysis for proving useful and correct indexes.
Subjects
Construction Consultance Services
Project Performance
Evaluating index
Public Construction
Item Analysis
Factor Analysis
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