Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Fire Hawk Optimizer for Resource Trade-off in Project Scheduling based on BIM

Version 1 : Received: 13 August 2022 / Approved: 17 August 2022 / Online: 17 August 2022 (05:34:30 CEST)

A peer-reviewed article of this Preprint also exists.

Shishehgarkhaneh, M.B.; Azizi, M.; Basiri, M.; Moehler, R.C. BIM-Based Resource Tradeoff in Project Scheduling Using Fire Hawk Optimizer (FHO). Buildings 2022, 12, 1472. Shishehgarkhaneh, M.B.; Azizi, M.; Basiri, M.; Moehler, R.C. BIM-Based Resource Tradeoff in Project Scheduling Using Fire Hawk Optimizer (FHO). Buildings 2022, 12, 1472.

Abstract

Project managers should balance a variety of resource elements in building projects while taking into account many major concerns, including time, cost, quality, risk, and the environment. This study presents a framework for resource trade-offs in project scheduling based on the Building Information Modeling (BIM) methodology and metaheuristic algorithms. First, a new metaheuristic algorithm called Fire Hawk Optimizer (FHO) is used. Using project management software and the BIM process, a 3D model of the construction is created. In order to maximize quality while minimizing time, cost, risk, and CO2 in the project under consideration, an optimization problem is created, and the FHO's capability for solving it is assessed. A predefined stopping condition is taken into account while doing 30 independent optimization runs to obtain the statistical metrics, such as the mean, standard deviation, and the required number of objective function evaluations. The results show that the FHO algorithm is capable of producing competitive and exceptional outcomes when it comes to trade-off various resource options in projects.

Keywords

Fire Hawk Optimizer; optimization; metaheuristic algorithms; Building Information Modelling (BIM); resource management; project resource management

Subject

Engineering, Civil Engineering

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