Multi-attribute selection of public buildings retrofits strategy

Abstract

This paper discuss problem of retrofitting strategy selection. The aim is to determine in which way is rationally to update public buildings. Nine feasible alternatives of buildings retrofitting scenarios were developed. The essence of these scenarios is number of stages and time of retrofitting works. A set of five key attributes, which adequately describes the alternatives, was determined and SWARA method was used to determine weights of attributes. Multi-attribute optimization problem is determined and solved. Three different multi-attribute decision making methods (SAW, TOPSIS and COPRAS) were applied to assess and rank alternatives. A small kindergarten in Semeliskes (Lithuania) was selected as a case study. It is determined that most appropriate way for retrofitting of small public buildings is a one-stage with the greatest available number of workers.