SODA

Strategic maintenance planning by fuzzy AHP and Markov Decision Processes

Tahvili, Sahar and Österberg, Jonas and Silvesterov, Sergei (2015) Strategic maintenance planning by fuzzy AHP and Markov Decision Processes. In: 16th conference of the Applied Stochastic Models and Data Analysis (ASMDA) International society, 30th June – 4th July 2015, Piraeus, Greece. (In Press)

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Abstract

The work of engineering and business professionals includes making a series of decisions and optimizations. Real world decision making problems faced by decision makers (DM) involve multiple, usually conflicting, criteria. These multi-criteria decision making problems (MCDM) are usually complicated and large in scale. In strategic Maintenance planning, choices are made on where to focus time and effort, where to spend money. We consider a framework for strategic maintenance planning in a modern maintenance driven organization. Our focus is on a multi-stage framework in which the planning is divided into two stages, identifying an optimal set of possible actions and finding the optimal decision policy for these actions for each point in time as a function of the stochastically evolving system state. To this respect we consider the MCDM method of AHP (Analytical hierarchical programming) in a fuzzy environment, and Markov decision processes (MDP).

Item Type:Conference or Workshop Item (Paper)
ID Code:5871
Deposited By:Sahar Tahvili
Deposited On:14 Aug 2015 11:30
Last Modified:14 Aug 2015 11:30

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