TY - JOUR
T1 - Robustness of the multi-attribute utility model for bridge maintenance planning
AU - Bukhsh, Zaharah Allah
AU - Stipanovic, Irina
AU - Skaric Palic, Sandra
AU - Klanker, Giel
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Optimisation of maintenance planning is an essential part of bridge management. With the purpose to support maintenance planning, a multiobjective decision-making model is introduced in this paper. The model is based on multi-attribute utility theory, which is used for the optimisation process when multiple performance goals have to be taken into account. In the model, there are several parameters, which are freely chosen by the decision maker. The model is applied to the inventory of 22 bridges, where four Key Performance Indicators were determined for four performance aspects: reliability, availability, costs and environment. A sensitivity analysis is performed by changing risk tolerance parameter and attribute weights to determine the robustness of the model. The Multi-Attribute Utility model and sensitivity analysis presented in this paper will help decision-makers to examine the robustness of the optimal solution by dynamically changing the critical parameters.
AB - Optimisation of maintenance planning is an essential part of bridge management. With the purpose to support maintenance planning, a multiobjective decision-making model is introduced in this paper. The model is based on multi-attribute utility theory, which is used for the optimisation process when multiple performance goals have to be taken into account. In the model, there are several parameters, which are freely chosen by the decision maker. The model is applied to the inventory of 22 bridges, where four Key Performance Indicators were determined for four performance aspects: reliability, availability, costs and environment. A sensitivity analysis is performed by changing risk tolerance parameter and attribute weights to determine the robustness of the model. The Multi-Attribute Utility model and sensitivity analysis presented in this paper will help decision-makers to examine the robustness of the optimal solution by dynamically changing the critical parameters.
KW - Bridge ranking
KW - Multi-criteria decision making
KW - Performance goals
KW - Risk tolerance value
KW - Sensitivity analysis
UR - http://www.scopus.com/inward/record.url?scp=85064679388&partnerID=8YFLogxK
U2 - 10.7250/BJRBE.2018-13.425
DO - 10.7250/BJRBE.2018-13.425
M3 - Article
AN - SCOPUS:85064679388
SN - 1822-427X
VL - 13
SP - 404
EP - 415
JO - Baltic Journal of Road and Bridge Engineering
JF - Baltic Journal of Road and Bridge Engineering
IS - 4
ER -