Approaches for BIM-based multi-objective optimization in construction scheduling
Construction scheduling is a complex process due to the interdependence and contradiction of project activities. This requires applying population-based optimization algorithms like evolutionary algorithms to reach optimal solutions. However, when optimizing more than three objectives, the efficienc...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447923000035 |
| _version_ | 1797796465820565504 |
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| author | Noha Essam Laila Khodeir Fatma Fathy |
| author_facet | Noha Essam Laila Khodeir Fatma Fathy |
| author_sort | Noha Essam |
| collection | DOAJ |
| description | Construction scheduling is a complex process due to the interdependence and contradiction of project activities. This requires applying population-based optimization algorithms like evolutionary algorithms to reach optimal solutions. However, when optimizing more than three objectives, the efficiency of such algorithms degrades and trade-offs among conflicting objectives must be made to obtain an optimal Pareto Frontier. Recently, there have been attempts to integrate Building Information Modelling (BIM) with Multi-Objective Optimization (MOO) algorithms to solve building design and management problems like construction. This paper aims to assess the potential of developing models that combine information systems and optimization methods for better decision-making process. A structured literature review is provided giving insights on the predominant multi-objective optimization approaches and the active BIM-based optimization models, with an emphasis on the potential of providing more effective and robust construction process that combine BIM with optimization tools. Finally, gaps are addressed, and recommendations are proposed for future research development. |
| first_indexed | 2024-03-13T03:34:32Z |
| format | Article |
| id | doaj.art-8938db8ead4e4bb385f86a527d285031 |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-03-13T03:34:32Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-8938db8ead4e4bb385f86a527d2850312023-06-24T05:16:15ZengElsevierAin Shams Engineering Journal2090-44792023-06-01146102114Approaches for BIM-based multi-objective optimization in construction schedulingNoha Essam0Laila Khodeir1Fatma Fathy2Corresponding author.; Architecture Department, Ain-Shams University, Cairo, EgyptArchitecture Department, Ain-Shams University, Cairo, EgyptArchitecture Department, Ain-Shams University, Cairo, EgyptConstruction scheduling is a complex process due to the interdependence and contradiction of project activities. This requires applying population-based optimization algorithms like evolutionary algorithms to reach optimal solutions. However, when optimizing more than three objectives, the efficiency of such algorithms degrades and trade-offs among conflicting objectives must be made to obtain an optimal Pareto Frontier. Recently, there have been attempts to integrate Building Information Modelling (BIM) with Multi-Objective Optimization (MOO) algorithms to solve building design and management problems like construction. This paper aims to assess the potential of developing models that combine information systems and optimization methods for better decision-making process. A structured literature review is provided giving insights on the predominant multi-objective optimization approaches and the active BIM-based optimization models, with an emphasis on the potential of providing more effective and robust construction process that combine BIM with optimization tools. Finally, gaps are addressed, and recommendations are proposed for future research development.http://www.sciencedirect.com/science/article/pii/S2090447923000035Multi-objective optimization (MOO)Genetic algorithms (GA)Building information modelling (BIM)Construction scheduling |
| spellingShingle | Noha Essam Laila Khodeir Fatma Fathy Approaches for BIM-based multi-objective optimization in construction scheduling Ain Shams Engineering Journal Multi-objective optimization (MOO) Genetic algorithms (GA) Building information modelling (BIM) Construction scheduling |
| title | Approaches for BIM-based multi-objective optimization in construction scheduling |
| title_full | Approaches for BIM-based multi-objective optimization in construction scheduling |
| title_fullStr | Approaches for BIM-based multi-objective optimization in construction scheduling |
| title_full_unstemmed | Approaches for BIM-based multi-objective optimization in construction scheduling |
| title_short | Approaches for BIM-based multi-objective optimization in construction scheduling |
| title_sort | approaches for bim based multi objective optimization in construction scheduling |
| topic | Multi-objective optimization (MOO) Genetic algorithms (GA) Building information modelling (BIM) Construction scheduling |
| url | http://www.sciencedirect.com/science/article/pii/S2090447923000035 |
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