Abstract
AbstractBuilding information modeling (BIM) is used for 3D modelling, but due to the recent developments, it achieved various advancements. In the past few decades, the most challenging combinatorial optimization scheduling problem is solved by the Resource-Constrained Project Scheduling Problem (RCPSP) method. The extension of RCPSP is still in the account. However, an integration of the Building Information Model (BIM) which supports RCPSP is still deficient. This paper presents the easy data transfer from the information standard to the RCPSP standard with construction scheduling objectives. A work-package-based information model seizes the entire data of RCPSP. Both semiautomatic and manual tasks are introduced for workflow. This paper focused on genetic algorithm techniques to solve Resource-Constrained Project Scheduling Problem. This paper's novel appeal integrates actual construction data and the formation of effective solutions using an algorithm. Simultaneously, the work-package-based information is beneficial in the future for a similar project. The extension of BIM and comparison of the various algorithm can be determined in the future.KeywordsAlgorithmSchedulingResource constraintOptimizationData integration
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