TY  - CONF
TI  - Comparing Choosing by Advantages and Weighting, Rating and Calculating Results in Large Design Spaces
AU  - Correa, María Gabriela
AU  - Arroyo, Paz
AU  - Mourgues, Claudio
AU  - Flager, Forest
AD  - Master Student, Construction Engineering and Management Dept., School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, +569 56189350, mgcorrea1@uc.cl
AD  - Assistant Professor, Pontificia Universidad Católica de Chile, Santiago, Chile, +56 22354-4244, parroyo@ing.puc.cl
AD  - Assistant Professor, Pontificia Universidad Católica de Chile, Santiago, Chile, +56 22354-4244, cmourgue@ing.puc.cl
AD  - Research Associate and Lecturer, Department of Civil and Environmental Engineering, Stanford University, Califoria, United States, +1.415.728.7197, forest@standford.edu
PY  - 2017
DA  - 2017/07/09
T2  - 25th Annual Conference of the International Group for Lean Construction
C3  - 25th Annual Conference of the International Group for Lean Construction
CY  - Heraklion, Greece
SP  - 259
EP  - 266
DO  - 10.24928/2017/0248
SN  - 2309-0979 (ISSN)
AB  - Architecture, Engineering and Construction (AEC) projects are complex systems that are evaluated based on many factors. Multi-Criteria Decision Making (MCDM) methods are used to support AEC project teams in this process. Traditionally, these decisions are made using the Weighting, Rating and Calculating (WRC) method. Recent literature shows benefits of the Choosing By Advantages (CBA) method compared to WRC. However, these studies have been made in the context of comparing and ranking a small number of design alternatives (2-10). This research presents a case study in which CBA and WRC are applied to a large design space. The results show that CBA allowed for a more complete comparison of design alternatives. In addition, CBA enabled decision makers to explicitly evaluate performance versus cost, which led to more transparent and Pareto optimal decisions considering all alternatives in the design space.
KW  - Choosing By Advantages
KW  - CBA
KW  - WRC
KW  - Large Design Spaces
KW  - Multi-Disciplinary Optimization.
L1  - https://www.iglc.net/papers/details/1402/pdf
UR  - https://www.iglc.net/papers/details/1402
DB  - IGLC.net
LA  - English
N1  - Export date: 04 October 2026
ER  -