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Application of semi-Markov decision process in bridge management

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2015
Authors
Mašović, Snežana
Stošić, Saša
Hajdin, Rade
Conference object (Published version)
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Abstract
The state-of-the-art Bridge Management Systems (BMSs) feature tightly coupled deterioration and preservation optimization model that enable determining the most cost-effective maintenance strategies at both the project and network levels. In other to improve deterioration model, many authors suggest the application of Weibull distribution for the sojourn time in condition states. Consequently, one has to solve semi-Markov decision process to determine the optimum preservation policy. It can be shown that the long-run optimal policies obtained using semi-Markov model doesn't differ from those of time homogenous Markov chains for average cost criteria if the expected sojourn times in each condition state are same for both model. However, financial needs differ between the models depending on distribution parameters of sojourn time in each condition state. It is therefore that the estimation of these parameters is crucial for the realistic estimation of the financial needs. In this paper,... the semi-Markov decision process is briefly presented and recommendations regarding its practical applications in bridge management are given.

Keywords:
Bridge Management Systems / Semi-markov decision process / financial needs
Source:
IABSE Conference, Geneva 2015: Structural Engineering: Providing Solutions to Global Challenges - Re, 2015, 1017-1024
Publisher:
  • International Association for Bridge and Structural Engineering (IABSE)
Scopus: 2-s2.0-84971268678
[ Google Scholar ]
5
URI
https://grafar.grf.bg.ac.rs/handle/123456789/715
Collections
  • Radovi istraživača / Researcher's publications
  • Катедра за материјале и конструкције
  • Катедра за техничку механику и теорију конструкција
  • Катедра за управљање пројектима у грађевинарству
Institution/Community
GraFar
TY  - CONF
AU  - Mašović, Snežana
AU  - Stošić, Saša
AU  - Hajdin, Rade
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/715
AB  - The state-of-the-art Bridge Management Systems (BMSs) feature tightly coupled deterioration and preservation optimization model that enable determining the most cost-effective maintenance strategies at both the project and network levels. In other to improve deterioration model, many authors suggest the application of Weibull distribution for the sojourn time in condition states. Consequently, one has to solve semi-Markov decision process to determine the optimum preservation policy. It can be shown that the long-run optimal policies obtained using semi-Markov model doesn't differ from those of time homogenous Markov chains for average cost criteria if the expected sojourn times in each condition state are same for both model. However, financial needs differ between the models depending on distribution parameters of sojourn time in each condition state. It is therefore that the estimation of these parameters is crucial for the realistic estimation of the financial needs. In this paper, the semi-Markov decision process is briefly presented and recommendations regarding its practical applications in bridge management are given.
PB  - International Association for Bridge and Structural Engineering (IABSE)
C3  - IABSE Conference, Geneva 2015: Structural Engineering: Providing Solutions to Global Challenges - Re
T1  - Application of semi-Markov decision process in bridge management
EP  - 1024
SP  - 1017
UR  - conv_2153
ER  - 
@conference{
author = "Mašović, Snežana and Stošić, Saša and Hajdin, Rade",
year = "2015",
abstract = "The state-of-the-art Bridge Management Systems (BMSs) feature tightly coupled deterioration and preservation optimization model that enable determining the most cost-effective maintenance strategies at both the project and network levels. In other to improve deterioration model, many authors suggest the application of Weibull distribution for the sojourn time in condition states. Consequently, one has to solve semi-Markov decision process to determine the optimum preservation policy. It can be shown that the long-run optimal policies obtained using semi-Markov model doesn't differ from those of time homogenous Markov chains for average cost criteria if the expected sojourn times in each condition state are same for both model. However, financial needs differ between the models depending on distribution parameters of sojourn time in each condition state. It is therefore that the estimation of these parameters is crucial for the realistic estimation of the financial needs. In this paper, the semi-Markov decision process is briefly presented and recommendations regarding its practical applications in bridge management are given.",
publisher = "International Association for Bridge and Structural Engineering (IABSE)",
journal = "IABSE Conference, Geneva 2015: Structural Engineering: Providing Solutions to Global Challenges - Re",
title = "Application of semi-Markov decision process in bridge management",
pages = "1024-1017",
url = "conv_2153"
}
Mašović, S., Stošić, S.,& Hajdin, R.. (2015). Application of semi-Markov decision process in bridge management. in IABSE Conference, Geneva 2015: Structural Engineering: Providing Solutions to Global Challenges - Re
International Association for Bridge and Structural Engineering (IABSE)., 1017-1024.
conv_2153
Mašović S, Stošić S, Hajdin R. Application of semi-Markov decision process in bridge management. in IABSE Conference, Geneva 2015: Structural Engineering: Providing Solutions to Global Challenges - Re. 2015;:1017-1024.
conv_2153 .
Mašović, Snežana, Stošić, Saša, Hajdin, Rade, "Application of semi-Markov decision process in bridge management" in IABSE Conference, Geneva 2015: Structural Engineering: Providing Solutions to Global Challenges - Re (2015):1017-1024,
conv_2153 .

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