Papers by Keyword: Change Orders

Abstract: Change orders present one of the largest sources of cost growth on building construction projects and have negative impact on productivity, labor efficiency and building environment. Building Information Modeling (BIM) is proved a high technology that greatly benefits both design and construction, greatly promoting the design visualization and construction 4-D modeling. Driven by BIM, Integrated Project Delivery (IPD) emphasizes communication in the collaborative process by avoiding adversarial or counter-productive professional relationships to reduce waste and rework. If BIM&IPD can be properly applied in project, quite a lot change orders can be avoided and then project cost will be reduced. This paper investigates the impact of BIM&IPD on construction change orders using Bayesian Network method. Bayesian Network is a graphic model representing cause and effect relationship between change orders and BIM&IPD. In this paper, evidence reasoning and probabilistic inference analyses are conducted to indicate the causes in light of the results and forecast the results according to causes. From the analysis, Bayesian Network is proved a good tool for construction managers to make decisions.

Abstract: Change order is a frequent phenomenon in most construction projects. However, these changes can be controlled when their causes are known. This report is set to find out the various techniques through which this phenomenon can be controlled most especially in the roadway construction projects in south of Iran. In order to reduce this occurrence to the minimum, certain mechanisms have been identified as being very effective and these are clearly the project objectives and scope of change order of work, provision of complete documentation, finalize the design during the design phase. The outcomes of this study would provide necessary information that may be used by employers and contractors to minimize cases of change orders in construction projects. Moreover, it is anticipated that the results of this study will assist greatly in reducing the total cost of construction works and the time of completion of the project hence increase the efficiency of the work.