Cost Model for Autonomous Systems
Abstract
The goal of this project is to develop a life cycle cost model to estimate the cost of developing and operating autonomous systems. The cost model, based on historical data, will aid in more realistic program planning through more accurate cost estimation and tradeoffs analyses. The results of this research have the potential to impact: • Project Managers in government and industry who will be able to better understand autonomous systems costs and identify opportunities for cost reduction • Developers of autonomous systems who will be able to develop more realistic development efforts with the aid of a parametric cost model calibrated specifically for autonomous systems • Government acquisition agencies who will be able to more rigorously evaluate proposals from developers using “best value” criterion • Evaluators who will be able to perform trade studies that use cost as a variable (e.g., cost vs. performance, cost vs. development schedule, cost vs. benefit) • As a result of more realistic estimates and program plans, the general public will benefit from a reduction in waste of their tax dollars due to proper project planning • Students interested in learning about UASs will have a model to understand the cost implications of various decisions related to autonomous systems • K-12 students participating in robotics competitions (e.g., Lego Robotics) will have a deeper understanding of the costs of large-scale versions of the robots they build
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 09, 2016
- Source ID
- N002441510008
Entities
People
- Ricardo Valerdi
Organizations
- United States Navy
- University of Arizona