Search

Your search keyword '"Tiene, Sara"' showing total 4 results
Start Over Author "Tiene, Sara"
4 results on '"Tiene, Sara"'

1. A Genetic Algorithm-based approach for Project Management and developed design of construction

Author

Tiene, Sara, Bragadin, Marco Alvise, and Ballabeni, Andrea

Subjects
Project management, 020209 energy, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, lcsh:Architecture, Genetic algorithms, Quality, lcsh:TH1-9745, Construction, lcsh:NA1-9428, lcsh:Building construction
Abstract

Construction Project Management processes aim at the optimization of three main KPIs: time, cost and quality. As the time / cost trade-off approach is well known, quality optimization is still pursued with a practical approach, often based upon Project Manager’s experience. A case study of construction of a new university building is presented, focusing on external walls detailed design. Wall performances concerning time, costs and quality depend on the performances of each of the product layer that composes the wall. For each layer three commercial options has been considered. Therefore, a time – cost – quality trade-off procedure has been implemented using Genetic Algorithms, with the aim of finding a set of optimal solutions for the construction of the building envelope., TECHNE - Journal of Technology for Architecture and Environment, TECHNE 16 (2018): Matter is design

Published
2018

2. Algoritmi Genetici per il Project Management e la progettazione esecutiva nelle costruzioni.

Author

Tiene, Sara, Bragadin, Marco Alvise, and Ballabeni, Andrea

Abstract

Construction Project Management processes aim at the optimization of three main KPIs: time, cost and quality. As the time / cost trade-off approach is well known, quality optimization is still pursued with a practical approach, often based upon Project Manager's experience. A case study of construction of a new university building is presented, focusing on external walls detailed design. Wall performances concerning time, costs and quality depend on the performances of each of the product layer that composes the wall. For each layer three commercial options has been considered. Therefore, a time - cost - quality trade-off procedure has been implemented using Genetic Algorithms, with the aim of finding a set of optimal solutions for the construction of the building envelope. [ABSTRACT FROM AUTHOR]

Published
2018
Full Text
View/download PDF

3. Genetic algorithms for construction management: the case study of a building envelope design optimization

Author

Tiene, Sara, thesis supervisor: Bragadin, Marco Alvise, Tiene, Sara, and thesis supervisor: Bragadin, Marco Alvise

Abstract

The present work deals with the study and analysis of the simultaneous optimization of time, cost and quality by using artificial intelligence technique; The approach is based on the use of genetic algorithms implemented in Matlab applied to a case study, the construction of a new University Campus in Cesena, focusing on the external walls of the building itself. The objective is to find a set of optimal solutions, equally valid, for the realization of stratigraphies of the different types of external masonry; It will then be the task of the designer to choose among possible solutions which he believes to be most appropriate, based on the requirements of the project, which may be in terms of quality, cost, time or a combination of two or more of these evaluation parameters. It will thus illustrate how different solutions provided by the program can be used and collected in a three-dimensional graph.

4. Genetic algorithms for construction management: the case study of a building envelope design optimization

Author

Tiene, Sara, thesis supervisor: Bragadin, Marco Alvise, Tiene, Sara, and thesis supervisor: Bragadin, Marco Alvise

Abstract

The present work deals with the study and analysis of the simultaneous optimization of time, cost and quality by using artificial intelligence technique; The approach is based on the use of genetic algorithms implemented in Matlab applied to a case study, the construction of a new University Campus in Cesena, focusing on the external walls of the building itself. The objective is to find a set of optimal solutions, equally valid, for the realization of stratigraphies of the different types of external masonry; It will then be the task of the designer to choose among possible solutions which he believes to be most appropriate, based on the requirements of the project, which may be in terms of quality, cost, time or a combination of two or more of these evaluation parameters. It will thus illustrate how different solutions provided by the program can be used and collected in a three-dimensional graph.

Catalog

Books, media, physical & digital resources
See catalog results