Abstract
Optimisation of maintenance planning is an essential part of bridge management. With the purpose to support maintenance planning, a multi- objective 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.
Highlights
Functional and serviceable road infrastructure presents one of the most integral predispositions for the economic growth of countries around the world
MAUT has a concept of Certainty Equivalent (CE) which is the indifference point of a decision maker between the maximum and minimum maintenance costs
The total aggregative score is used for ranking the alternatives, where an alternative which is the perfect fit in a realisation of decision objective is ranked at highest
Summary
Functional and serviceable road infrastructure presents one of the most integral predispositions for the economic growth of countries around the world. The length of bridges compared to the whole length of the road network is only approximately 2%, but at the same time, they present 30% value of the whole network (Das, Micic, & Chryssanthopoulos, 1999). When these statistics are taken into consideration, it is easy to understand why, an increasing number of deteriorating bridges led to the development of many Bridge Management Systems (BMS) and life cycle maintenance models (ERANET ROAD, 2012). The application of Multi-Attribute Utility Theory (MAUT) for bridge maintenance planning is presented in detail in a previous study The purpose of this paper is to determine the robustness of the model through sensitivity analysis, by Zaharah Allah Bukhsh, Irina Stipanovic, Sandra Skaric Palic, Giel Klanker
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