Construction of a 5D duration and cost optimisation model based on genetic algorithm and BIM
PurposeThe construction industry is characterized by a long construction period, high cost and many uncontrollable factors. The owners and contractors are increasingly focusing on the efficiency of their construction and costs in pursuit of greater economic benefits. However, current methods used in...
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| Published in | Journal of engineering, design and technology Vol. 17; no. 5; pp. 929 - 942 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Bingley
Emerald Group Publishing Limited
03.09.2019
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1726-0531 1758-8901 |
| DOI | 10.1108/JEDT-12-2018-0214 |
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| Abstract | PurposeThe construction industry is characterized by a long construction period, high cost and many uncontrollable factors. The owners and contractors are increasingly focusing on the efficiency of their construction and costs in pursuit of greater economic benefits. However, current methods used in the construction period and cost optimization analysis with multiple constraints the have their own limitations. Therefore, this study aims to propose a combination of genetic algorithm (GA) and building information modeling (BIM) to construct a five-dimensional construction duration-cost optimization model with the advantages of optimization and simulation for optimization.Design/methodology/approachThis design first analyzed the characteristics of changing construction period and cost and then improved the genetic mechanism and the data processing method in the GA according to the aforementioned characteristics. Then, BIM technology was combined with GA to testify the feasibility of the model in the practical engineering project.FindingsThe result proved that this new method was reasonable and effective in dealing with the complicated problem of period and cost. GA accelerated the optimization process and yielded a reliable Pareto solution. BIM technology simulated the construction process before construction to increase the feasibility of the construction scheme.Originality/valueThis method not only can rapidly provide the best construction period/cost decision to the architect according to the previous working period/cost or contract data that can meet the demands of the architect but also visualize the construction and give a dynamic schedule of the project. |
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| AbstractList | PurposeThe construction industry is characterized by a long construction period, high cost and many uncontrollable factors. The owners and contractors are increasingly focusing on the efficiency of their construction and costs in pursuit of greater economic benefits. However, current methods used in the construction period and cost optimization analysis with multiple constraints the have their own limitations. Therefore, this study aims to propose a combination of genetic algorithm (GA) and building information modeling (BIM) to construct a five-dimensional construction duration-cost optimization model with the advantages of optimization and simulation for optimization.Design/methodology/approachThis design first analyzed the characteristics of changing construction period and cost and then improved the genetic mechanism and the data processing method in the GA according to the aforementioned characteristics. Then, BIM technology was combined with GA to testify the feasibility of the model in the practical engineering project.FindingsThe result proved that this new method was reasonable and effective in dealing with the complicated problem of period and cost. GA accelerated the optimization process and yielded a reliable Pareto solution. BIM technology simulated the construction process before construction to increase the feasibility of the construction scheme.Originality/valueThis method not only can rapidly provide the best construction period/cost decision to the architect according to the previous working period/cost or contract data that can meet the demands of the architect but also visualize the construction and give a dynamic schedule of the project. |
| Author | He, Wei Shi, Yichao Kong, Dewei |
| Author_xml | – sequence: 1 givenname: Wei surname: He fullname: He, Wei – sequence: 2 givenname: Yichao surname: Shi fullname: Shi, Yichao – sequence: 3 givenname: Dewei surname: Kong fullname: Kong, Dewei |
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| CitedBy_id | crossref_primary_10_1155_2024_8893201 crossref_primary_10_1016_j_arcontrol_2022_09_002 crossref_primary_10_1088_1757_899X_869_6_062031 crossref_primary_10_1038_s41598_022_26146_6 crossref_primary_10_1108_JEDT_07_2023_0309 crossref_primary_10_1007_s42107_022_00501_4 crossref_primary_10_1080_17452007_2020_1768506 |
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| DOI | 10.1108/JEDT-12-2018-0214 |
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| SubjectTerms | Building information modeling Building management systems Computer simulation Concrete Construction costs Construction industry Construction methods Contractors Cost analysis Critical path Data processing Decision making Design analysis Design optimization Engineering Feasibility Genetic algorithms Optimization Pareto optimization Schedules Software Urban planning |
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| Title | Construction of a 5D duration and cost optimisation model based on genetic algorithm and BIM |
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