Computerbased Largescale Construction Project Health Diagnosis System A computerbased Largescale Construction Project Health Diagnosis System (LCPHDS) was developed under the direction of diagnosis theory which is based on scientific evidence for diagnosing implementation status in construction projects. First, a brief introduction was given into diagnosis thought in medicine field; then, the health diagnosis theory was illustrated from four aspects of how to extract characteristics and relevant parameter variables, how to build a system of indexes and relevant weights, how to provide a set of judgment standards as references and how to illustrate the process of diagnostic computations. Programming technologies and developing tools like C, SQL Server 2005 and CS architecture were elaborated for a better understanding of the development environment of LCPHDS. In the end, the user interface (UI) and functional performance were demonstrated to exhibit the wholeness of the system. LCPHDS mainly helps managers or directors to analyze and supervise implementation status, especially quality, over the lifecycle. The proposed system has already been implemented by a construction company in Guangzhou for a trial run, and has made some effects.

Assessing the Complexity of LargeScale Engineering Projects Complexity, an intuitively understood concern for project management practitioners, is often associated with the difficulty of managing projects. The literature suggests that many contemporary projects tend to display the dimensions of complexity such as multivariance, nonlinearity and emergence. Researchers have also proposed multiple frameworks and methodologies to define, identify and measure project complexity. However, the adoption of these frameworks by practitioners is hindered by the lack of a reliable means to classify projects based on their complexity in a practically useful way. This paper aims to address this gap by proposing an approach to identify indicators of project complexity. This approach allows project managers to identify potential causes of complexity in the planning phase of a project with an understanding of the areas of vulnerability. Moreover, they would be able to foresee how complexity manifests during the execution phase of a project and act upon to deal with associated challenges through proactive and reactive measures.