Model-Based Systems Engineering Application to Analyze the Ground Vehicle and Robotics Sustainment Support Strategy

Abstract

Model-Based Systems Engineering and Logistics Engineering are emerging disciplines that offer a synergy for integrating the proactive modeling of prototype R and D acquisition and industrial base sustainment support into a framework that characterizes the most influential phases of the Department of Defense ground vehicle and robotics equipment life cycle. This research enhances situational awareness of upstream factors that drive the capability and capacity constraints to leveraging new technology for sustainment risk mitigation. These capability and capacity constraints include sub-optimal supply chain coordination and limited collaboration between government R and D centers. This research also demonstrates how a new business model called the Defense Mobility Enterprise solves these problems, while offering an incubator for Model-Based Systems Engineering experimentation and continuous productivity improvement. Through the successful application of SysML, the modeling language of systems engineering, this research concludes with multi-model orchestration, using the momentum of commercial-off-the-shelf tools, providing a strategic lens with which to specify, analyze, design, and verify Department of Defense ground vehicle and robotics technology transition opportunities.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 17, 2017
Accession Number
AD1109768

Entities

People

  • Garett S. Patria

Organizations

  • Tank-automotive and Armaments Command

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Cyber
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Business Administration
  • Computer Programming
  • Computer Science
  • Data Mining
  • Databases
  • Engineers
  • Failure Mode And Effect Analysis
  • Information Science
  • Information Systems
  • Management Personnel
  • Mechanical Engineering
  • Model Based Systems Engineering
  • National Security
  • Network Science
  • Operations Research
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Civilian Systems Systems Program Capability Development and Upgrade Support Activity Expense and Pay Management.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy