Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

An integrated space-based building maintenance management model using multi-objective optimization

An integrated space-based building maintenance management model using multi-objective optimization The purpose of this study is to minimize cost and minimize building condition. Weibull distribution approach was employed to generate deterioration curves over time. The third floor of Concordia University’s Engineering And Visual Arts (EV) Complex in Montreal, Canada, served as a case study to test the maintenance model and determine the optimal maintenance activities to be performed.Design/methodology/approachThis research has demonstrated that there is insufficient fund allocation for the maintenance of non-residential buildings. Therefore, this research focused on designing and developing a maintenance optimization model that provides the type of spaces (architectural system) in a building. Sensitivity analysis was used to calculate weights to validate the model. Particle swarm optimization, based explicitly on multiple objectives, was applied for the optimization problem using MATLAB.FindingsFollowing 100 iterations, 13 non-dominant solutions were generated. Not only was the overall maintenance cost minimized, but the condition of the building was also maximized. Moreover, the condition prediction model demonstrated that the window system type has the most rapid deterioration in educational buildings.Originality/valueThe model is flexible and can be modified by facility managers to align with the required codes or standards. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Smart and Sustainable Built Environment Market Emerald Publishing

An integrated space-based building maintenance management model using multi-objective optimization

Download PDF
21 pages

Loading next page...
 
/lp/emerald-publishing/an-integrated-space-based-building-maintenance-management-model-using-62gJPGAwU1

References (24)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2046-6099
DOI
10.1108/sasbe-04-2021-0064
Publisher site
See Article on Publisher Site

Abstract

The purpose of this study is to minimize cost and minimize building condition. Weibull distribution approach was employed to generate deterioration curves over time. The third floor of Concordia University’s Engineering And Visual Arts (EV) Complex in Montreal, Canada, served as a case study to test the maintenance model and determine the optimal maintenance activities to be performed.Design/methodology/approachThis research has demonstrated that there is insufficient fund allocation for the maintenance of non-residential buildings. Therefore, this research focused on designing and developing a maintenance optimization model that provides the type of spaces (architectural system) in a building. Sensitivity analysis was used to calculate weights to validate the model. Particle swarm optimization, based explicitly on multiple objectives, was applied for the optimization problem using MATLAB.FindingsFollowing 100 iterations, 13 non-dominant solutions were generated. Not only was the overall maintenance cost minimized, but the condition of the building was also maximized. Moreover, the condition prediction model demonstrated that the window system type has the most rapid deterioration in educational buildings.Originality/valueThe model is flexible and can be modified by facility managers to align with the required codes or standards.

Journal

Smart and Sustainable Built Environment Market – Emerald Publishing

Published: Feb 20, 2023

Keywords: Building condition assessment; Optimization; Maintenance; Buildings spaces types; Weibull deterioration

There are no references for this article.