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Published on by
HollyHorton
Date: Tue, Nov 17, 2020 2:00 PM EST
Duration: 1 hour
Accreditation: Training Certificate for 1 CPE
Cost: Complimentary
Actionable Intelligence for Maintenance Repair Operations
The effectiveness of Maintenance Repair Operations (MRO) directly impacts DoD readiness and lethality. The orchestration of thousands of tasks and moving components around the globe is no small undertaking involving parts inventory, logistics, and installation activities carried out by our warfighters.
The high complexity of the MRO function can be managed through implementing digital tools such as artificial intelligence and machine learning to increase availability of vital parts while lowering inventory and costs.
This webinar will present steps the Department of Defense can take to modernize MRO programs, overcoming the challenges that exist today for timely and data-driven maintenance in support of the warfighter.
Speakers
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Brian Laird
Assistant Commander for Supply Chain Technology & Systems Integration, Naval Supply Systems Command (NAVSUP) |
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Louis Hogge
Engineering Flight Chief, USAF AFMC 416 SCMS |
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Col James Malec
Aviation Site Commander, Defense Logistics Agency |
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Bob Osborn
Chief Technology Officer, Global Governments, ServiceNow |
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Michael Kennedy
Discussion Moderator Senior National Intelligence Service Officer (ret.) |
Learning Objectives
- Explore how artificial intelligence and machine learning can be applied to prioritize and route service requests and planned maintenance.
- Delineate the benefits of asset management consolidation to track financial, contractual, and inventory details of hardware, software, devices, materials, equipment, and tools for cost savings, inventory reduction, and contract compliance.
- Review approaches to automating workflow to empower a more proactive approach to MRO.
- Detail how to improve field service efficiency using asset and workflow data in mobile dashboards.
Event has ended
You can no longer attend this event.
Start:
Tue, Nov 17, 2020 04:00 PM PST
End:
Tue, Nov 17, 2020 05:00 PM PST
Online