Paper Conference

Proceedings of eSim 2018: 10th Conference of IBPSA-Canada


Applying multi-attribute decision making to identify robust multi-objective design solutions in building design application

Yin Li, Bruno Lee

Abstract: The building design industry has become geared towards performance-based design that considers multiple design aspects. Consequently, multi-objective optimization plays an important role in modern building design. However, results from multi-objective optimization usually offer too many solutions which makes the decision-making process impractical. The purpose of this paper is to identify a multi-attribute decision making (MADM) method to assist the process of building design application. Different MADM methods are compared by applying them to the results of a multi-objective optimization, which is based on a case study of an industrial building in Amsterdam. The comparison is summarized according to the advantages and limitations of the different methods and concluded with a method that yields the most robust solutions.
Keywords: Building performance simulation, Multi-objective optimization, Robust decision making, Design support
Pages: 294 - 301