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The automation of construction production calendar planning on a variant basis using a combinatorial approach.
- Source :
-
AIP Conference Proceedings . 2023, Vol. 2936 Issue 1, p1-7. 7p. - Publication Year :
- 2023
-
Abstract
- The article considers the possibility of using a combinatorial approach to automation of construction production calendar planning on a variant basis. The essence of the combinatorial approach to the construction production multivariate automated design consists in generating a complete set of all feasible organizational and technological solutions for the construction works production at each stage of design based on the capabilities of the contractor construction and installation organization, the production conditions, the construction object characteristics, followed by the selection of the best solution according to the specified criteria. The generation of alternative solutions for the works production at each stage of design is carried out using combinatorics methods with a complete set of feasible alternatives generation. If it is possible to select preferred options (clear criteria) at a certain design stage, then such selection can be carried out. If it is impossible to select the best options at a certain stage of design, then all generated alternative options for organizational and technological solutions for the construction production works are transferred to the subsequent stages of design (modeling). Ultimately, the best option choice for the construction process implementation occurs after the completion of the entire complex of stages and tasks of organizational and technological design (modeling), taking into account how each particular solution affects the entire complex of interrelated tasks and stages, which allows for the systematic approach full use in the construction production design (modeling). [ABSTRACT FROM AUTHOR]
- Subjects :
- *PRODUCTION planning
*AUTOMATION
*CONSTRUCTION contractors
Subjects
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 2936
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 173554052
- Full Text :
- https://doi.org/10.1063/5.0178762