We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Optimizing Construction Engineering Management Using Metaheuristic Methods and Bayesian Networks.
- Authors
Jakubczyk-Gałczyńska, Anna; Siemaszko, Agata; Poltavets, Maryna
- Abstract
The construction of buildings invariably involves time and costs, and disruptions impact ongoing construction projects. Crisis situations in management strategies, structural confusion, and financial miscalculations often arise due to misguided decision-making. This article proposes a method that combines the learning of Bayesian Networks and heuristic techniques to optimize decision-making processes in construction scheduling. As an innovative approach in order to enhance construction management, the functioning of biological, molecular, and physical objects and nervous systems is considered, applying bionic features to mimic their efficiency and precision, thereby optimizing construction processes and improving coordination and decision-making. Bayesian Networks are used for probabilistic analysis, and heuristic methods guide quick decision-making. The results demonstrate the effectiveness of Bayesian Networks and heuristic methods in data analysis and decision-making in construction engineering. The developed algorithm can be successfully applied to both erecting and planning construction projects.
- Subjects
BAYESIAN analysis; ENGINEERING management; INDUSTRIAL engineering; CONSTRUCTION management; METAHEURISTIC algorithms; CONSTRUCTION project management; BIONICS
- Publication
Applied Sciences (2076-3417), 2024, Vol 14, Issue 11, p4871
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app14114871