Zhang, X (2006) Markov-based optimization model for building facilities management. Journal of Construction Engineering and Management, 132(11), pp. 1203-1211. ISSN 0733-9364
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | assets; deterioration; facilities; Markov process; optimization; service life; stochastic processes |
| Index terms: | methodology, programming, facilities management, performance-based, deterioration, sensitivity analysis, building performance, integer programming, service life, Markov chain, decision process |
| Subjects: | decision analysis, asset management, quality assurance, environmental hazards, algorithms, research methods, performance measurement, management, material degradation and durability, mathematical modelling, programming |
| Topics: | Business Strategy, Construction Materials, Research Practice, Risk Management, Sustainability, Digital Applications, Quality Management |
| Descriptive scope: | 4 PCTA |
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