EconPapers    
Economics at your fingertips  
 

Optimal maintenance and repair policies in infrastructure management under uncertain facility deterioration rates: an adaptive control approach

S M Madanat and Pablo L Durango

University of California Transportation Center, Working Papers from University of California Transportation Center

Abstract: In this paper we present two adaptive control formulations that explicitly include uncertainty in characterizing a facility's deterioration rate in the process of developing maintenance and repair policies. The formulations use condition information that stems from the operation of a facility to improve the characterization over a finite planning horizon. We discuss issues related to the implementation and computational complexity of the formulations. Through a computational study, we show that the economic benefits can be achieved by implementing the adaptive control formulations. These benefits are most significant in situations where the initial expected deterioration rate of the facility is not a good representation of its actual deterioration rate.

Keywords: Infrastructure management; model and parameter uncertainty; adaptive control; Social and Behavioral Sciences (search for similar items in EconPapers)
Date: 2001-05-12
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.escholarship.org/uc/item/8jz8h9fw.pdf;origin=repeccitec (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cdl:uctcwp:qt8jz8h9fw

Access Statistics for this paper

More papers in University of California Transportation Center, Working Papers from University of California Transportation Center Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().

 
Page updated 2025-06-08
Handle: RePEc:cdl:uctcwp:qt8jz8h9fw