This research discusses how engineers can use Agent-Based Models to simulate device fleets, such as drones or autonomous vehicles, to find the balance between the design of the device and its system-level performance. However, in cost-constrained problems, there is a tradeoff between the device’s capabilities and the fleet size. Therefore, if the goal is to optimize fleet performance, there needs to be a method to simulate these fleets and guide the design process. This paper starts with an examination of Agent-Based Models in engineering, and then proposes how engineers can use Agent-Based Models to guide the design of both the device and the fleet. A case study demonstrates this by simulating a fleet of firefighting drones. The drone’s capabilities were altered under cost constraints, where more capable drones led to smaller fleets, which shows the balance between the design of the device and fleet performance.

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Overcoming Design Challenges in Coupled System Device Problems Using Agent-Based Models

  • Cole Jetton,
  • Christopher Hoyle,
  • Matthew I. Campbell

摘要

This research discusses how engineers can use Agent-Based Models to simulate device fleets, such as drones or autonomous vehicles, to find the balance between the design of the device and its system-level performance. However, in cost-constrained problems, there is a tradeoff between the device’s capabilities and the fleet size. Therefore, if the goal is to optimize fleet performance, there needs to be a method to simulate these fleets and guide the design process. This paper starts with an examination of Agent-Based Models in engineering, and then proposes how engineers can use Agent-Based Models to guide the design of both the device and the fleet. A case study demonstrates this by simulating a fleet of firefighting drones. The drone’s capabilities were altered under cost constraints, where more capable drones led to smaller fleets, which shows the balance between the design of the device and fleet performance.