Solving complex maintenance planning optimization problems using stochastic simulation and multi-criteria fuzzy decision making

Journal Article · Wed Dec 10 00:00:00 EST 2014 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.4904649· OSTI ID:22390803

Tahvili, Sahar ^[1]; Österberg, Jonas; Silvestrov, Sergei ^[2]; Biteus, Jonas ^[3]

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1. Mälardalen University (Sweden)
2. Division of Applied Mathematics, Mälardalen University (Sweden)
3. Scania CV (Sweden)

One of the most important factors in the operations of many cooperations today is to maximize profit and one important tool to that effect is the optimization of maintenance activities. Maintenance activities is at the largest level divided into two major areas, corrective maintenance (CM) and preventive maintenance (PM). When optimizing maintenance activities, by a maintenance plan or policy, we seek to find the best activities to perform at each point in time, be it PM or CM. We explore the use of stochastic simulation, genetic algorithms and other tools for solving complex maintenance planning optimization problems in terms of a suggested framework model based on discrete event simulation.

• OSTI ID: 22390803
• Journal Information: AIP Conference Proceedings, Vol. 1637, Issue 1; Conference: ICNPAA 2014: 10. International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, Narvik (Norway), 15-18 Jul 2014; Other Information: (c) 2014 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
ALGORITHMS
COMPUTERIZED SIMULATION
COOPERATION
DECISION MAKING
FUZZY LOGIC
MAINTENANCE
MATHEMATICAL MODELS
OPTIMIZATION
STOCHASTIC PROCESSES