A Multiobjective and stochastic system for building maintenance management

  1. (PDF, 342 KB)
  2. Get@NRC: A Multiobjective and stochastic system for building maintenance management (Opens in a new window)
DOIResolve DOI: http://doi.org/10.1111/0885-9507.00196
AuthorSearch for: ; Search for:
Journal titleJournal of Computer-Aided Civil and Infrastructure Engineering
IssueSept 5
Pages320329; # of pages: 10
SubjectBuilding envelope
AbstractBuilding maintenance management involves decision-making under multiple objectives and uncertainty, in addition to budgetary constraints. This paper presents the development of a multiobjective and stochastic optimization system for maintenance management of roofing systems that integrates stochastic condition assessment and performance prediction models witha multiobjective optimization approach. The maintenance optimization includes the determination of the optimal allocation of funds and prioritization of roofs for maintenance, repair and replacement that simultaneously satisfy the following conflicting objectives: (i) minimization of maintenance and repair costs; (ii) maximization of network performance; and (iii) minimization of risk of failure. A product model of the roof system is used to provide thedata framework for collecting and processing data. Compromise programming is used to solve this multiobjective optimization problem and provides building managers an effective decision support system that identifies the optimal projects for repair and replacement while it achieves a satisfactory trade-off between the conflicting objectives.
Publication date
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number43053
NPARC number20331360
Export citationExport as RIS
Report a correctionReport a correction
Record identifier9db0d09b-f8c8-438b-805a-fc4befda2495
Record created2012-07-18
Record modified2016-05-09
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)