Aviation Maintenance & Supply Ontology

NCMS Project #: 141011

Problem: The lack of integration between aviation maintenance and sustainment data sources creates supply chain delays, cost overages, inefficiencies and an overall lack of aircraft readiness.  To solve the problem of disparate maintenance and sustainment data enterprises, the aircraft industry needs a common understanding of terms and meanings that may change over time, commonly referred to as an ontology.  An ontology is a formal specification of available terms, and the relationships between them is required.

Benefit: The H60 Helicopter is an ideal candidate for this project because it is utilized across all branches of the U.S. military enterprise, which will maximize saturation of the lessons learned throughout the DoD, with the potential for adoption by the commercial industry as well.

Solution/Approach: This project will define an ontology to demonstrate how disparate data sets can be connected between existing representative databases which are very large and contain complex and potentially sensitive information.  It will demonstrate the potential for leveraging artificial intelligence (AI) and data analytic capabilities to be used to further optimize maintenance and sustainment operations for both private and government aviation organizations.

Impact on Warfighter:

  • Alleviate bottlenecks
  • Improve maintenance and sustainment
  • Reduce costs
  • Increase warfighter readiness

DOD Participation:

  • U.S. Army
  • U.S. Navy
  • U.S. Air Force
  • U.S. Forces Command

Industry Participation:

  • TAMR
  • LMI
  • NCMS

Benefit Area(s):

  • Cost savings
  • Maintenance management improvement
  • Improved readiness

Focus Area:

  • Autonomic processes