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Dynamic Positioning System (DPS) is a critical component of marine vessels and floating platforms that are used in offshore operations. It is a computer-controlled system that automatically maintains a ship's position and heading using thrusters fitted to the ship. Reliability assessment of DPS can be analyzed through conventional fault tree analysis. However, the complex behavior such as sequence failure, redundancy management and priority of failing of events cannot be analyzed by the conventional fault tree analysis. The Dynamic Fault Tree (DFT) can address these shortcomings by defining additional dynamic gates. In this paper, Monte Carlo based simulation approach has been adopted for the analysis of DFT that models a DPS. It focuses on computing the Loss of Position (LOP) (or unavailability) of the vessel during the operation, standard measures of mean times to failure and repair, and reliability of the DPS system.