چكيده به لاتين
Abstract:
In the recent decades, construction industry has been faced with a great deal of challenges, such as low productivity and return on investment in comparison with other industreis, gradual increas in labor cost, unforeseen costs due to the lack of coordination among different stakeholders, time consuming change management, lack of timely and appropriate decision making, and so forth. All above cases caused the construction industry to develop some new fields including computer science and integrated project delivery systems. Building Information Modeling (BIM) is one the most newfound significant concepts for these challenges. The aim of this system is to configure a 3 dimentional model comprising whole project life cycle data in accessible and integrated information flow. By focusing on the application of BIM model for construction site decision making, this thesis has studied how to select the best decisions in the construction site when there is lack of some resources, between different scenarios by BIM approach. For these purposes, Revit suite has been used as a modeling Platform, Nawisworks manages (as a 4D simulator), Microsaft project (as a project planning and control tools) and MATLAB (as a multi-paradigm numerical computing environment and fourth-generation programming language) for solving Resource Constrianed Project Scheduling Problem (RCPSP) in the first scenario. The results indicate that 4D simulation of the construction projects leading to a realistic and accurate understanding of a project progress and material used in every moment of the project time.
However, precise planning, recognition of suitable spaces for temporary storage, incorrect predecessor identification between different tasks, Identifying hazardous situations and incident prevention are some studied capabilities of this system. In this research, when the concrete is not enough in the period of project time, after investigation of three scenarios, the best decision is selected. Keywords: Building Information Modeling, Decision making, 4D simulation. RCPSP
