الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
 |  | from | 332 |  |  |
| | | from | 332 | | |
Abstract
Performance tracking of construction projects is one of the most challenging and critical tasks carried out by contractors in the construction industry. The successful delivery of construction projects requires a methodology for controlling cost and time. The main objectives of this research are: (1) to develop automated modules for calculating time and cost variances for repetitive construction projects; (2) presenting a data base model for data collecting and storing; (3)Visualization of construction progress; (4) developing a model to monitor construction performance trend during construction phase. This research focuses on the construction phase of repetitive projects and is intended for implementation by contractors. Monitoring time and cost for the construction projects especially repetitive projects is always a challenge for contractors and project managers as well. The challenge results from the fact that source problems that are affecting on both time and cost are complex to identify and manage in details. A comprehensive mathematical time and cost control model for repetitive construction projects are presented. Detailed time and cost variances are introduced to identify the deviation from scheduled plan. Detailed equations are augmented to add a spot light on problems sources which are making deviations from original plan. Repetitive construction projects are considered as a process that involves a lot of tasks and a large amount of information of various types. So construction project control requires to effectively obtaining real-time field data of all resources involved in projects and activities taking place on the site. This research makes contributions to construction control for repetitive projects in developing a field data acquisition model to collect construction as-built information. Also, a computerized prototype tool for repetitive construction projects control is developed to demonstrate the versatility and the model’s usefulness. In addition to clarify how it can be easily applied by practitioners. With the growth of using visualization techniques in construction, Building Information Modeling (BIM) and Geographic Information System (GIS) have recently attained a widespread contribution in visualization of construction progress. BIM based platform represents nD visualization for construction progress to make it comprehensive and meaningful to project participants. This research makes new directions for construction projects control through presenting an automated tool to dynamically integrate progress with BIM technique and presenting a GIS-based tool to visualize the progress of distributed sites. This research shows that automated visualized of construction process has excellent intuition and provides abundant information for decision-makers. Conventional construction project control using Earned Value Management (EVM) enables evaluating the status of construction progress on a specific date. Cost and schedule deviations are reported on any date to figure out if the project is in or out of control. This research presents a contribution to construction project performance by using improved statistical fuzzy control chart process. Statistical fuzzy process control chart “SFPC” technique is reported as a powerfully tool that supports construction industry to achieve project specifications with respect to quality. This research illustrates the use of improved SFPC to monitor project performance trend during its construction phases.