Markov-Based Optimization Model for Building Facilities Management
Publication: Journal of Construction Engineering and Management
Volume 132, Issue 11
Abstract
An effective and efficient building facilities management system calls for a systematic performance-based methodology. This paper proposes an integer-programming model based on the Markov decision process: Markov chains are used to model the change of condition index, a consistent scale to measure building performance, and integer programming employed to optimize annual management actions and annual budget allocation, subject to various types of constraints. A wide scope of useful outputs can be obtained from this model. This includes: (1) annual management actions to take; (2) annual budget allocation; (3) the expected condition index (CI) values at the beginning of each year before and after management actions are taken; (4) the expected annual performance levels; and (5) sensitivity analysis and corresponding outputs to different budget scenarios, for all the elements, components, systems and buildings of a building network and for each year over a long time horizon. As a general model, it can be applied in any type of building network.
Get full access to this article
View all available purchase options and get full access to this article.
References
Alberta Transportation. (2001). Final Rep. for Business Concept Definition, Edmonton, Canada.
Charette, R. P., and Marshall, H. E. (1999). UNIFORMAT II elemental classification for building specifications, cost estimating, and cost analysis, National Technical Information Service, Technology Administration, U.S. Department of Commerce, Springfield, Va.
Hudson, W. R., Haas, R., and Uddin, W. (1997). Infrastructure management: Design, construction, maintenance, rehabilitation, and renovation, McGraw-Hill, New York.
Puterman, M. L. (1994). Markov decision processes: Discrete stochastic dynamic programming, Wiley, New York.
Information & Authors
Information
Published In
Copyright
© 2006 ASCE.
History
Received: May 25, 2004
Accepted: Feb 3, 2006
Published online: Nov 1, 2006
Published in print: Nov 2006
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.