Application of semi-Markov decision process in bridge management
Само за регистроване кориснике
2015
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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.
Кључне речи:
Bridge Management Systems / Semi-markov decision process / financial needsИзвор:
IABSE Conference, Geneva 2015: Structural Engineering: Providing Solutions to Global Challenges - Re, 2015, 1017-1024Издавач:
- International Association for Bridge and Structural Engineering (IABSE)
Scopus: 2-s2.0-84971268678
Колекције
Институција/група
GraFarTY - 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 - https://hdl.handle.net/21.15107/rcub_grafar_715 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 = "https://hdl.handle.net/21.15107/rcub_grafar_715" }
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. https://hdl.handle.net/21.15107/rcub_grafar_715
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. https://hdl.handle.net/21.15107/rcub_grafar_715 .
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, https://hdl.handle.net/21.15107/rcub_grafar_715 .