期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：9
页码：16576
DOI：10.15680/IJIRSET.2016.0509157
出版社：S&S Publications
摘要：The construction project schedule is one of the most important tools for project managers in theArchitecture, Engineering, and Construction (AEC) industry that makes them able to track and manage the time, cost,and quality (a.k.a. Project Management Triangle) of projects. Developing project schedules is almost alwaystroublesome, since it is heavily dependent on project planners’ knowledge of work often estimated by other informationincluded in the project schedule of resource allocation, budget, task duration, and linkages of dependencies andscheduled events. Having a thorough understanding of the project geometries and their internal interacting stabilityrelations plays a significant role in generating practical construction sequencing.On the other hand, the new concept ofembedding all the project information into a 3-dimensional representation of a project (a.k.a. Building InformationModel or BIM) has recently drawn attention to the construction industry. This paper, focuses on a novel approach ofretrieving enough information from the BIM of a project and then develop construction sequencing for the installationof the project elements. For this reason, a computer application is developed that can automatically derive a structurally(statically) stable construction sequence, using the concept of the Genetic Algorithm (GA). The Genetic Algorithm isan optimization tool that uses a heuristic search that mimics the natural evolutionary process. This project is moreinterested in knowing the optimization of construction sequence using genetic algorithm based on Building InformationModelling. A 3D model of a building is created using Autodesk software REVIT for studying the relationships anddependencies of the project elements and to create a Directed Design Structure Matrix. To reach a set of fully stableproject schedules, the stability score can be assigned to each possible solution.
