No
Yes
View More
View Less
Working...
Close
OK
Cancel
Confirm
System Message
Delete
Schedule
An unknown error has occurred and your request could not be completed. Please contact support.
Scheduled
Wait Listed
Personal Calendar
Speaking
Conference Event
Meeting
Interest
Times for this session to be announced soon
Conflict Found
This session is already scheduled at another time. Would you like to...
Loading...
Please enter a maximum of {0} characters.
{0} remaining of {1} character maximum.
Please enter a maximum of {0} words.
{0} remaining of {1} word maximum.
must be 50 characters or less.
must be 40 characters or less.
Session Summary
We were unable to load the map image.
This has not yet been assigned to a map.
Search Catalog
Reply
Replies ()
Search
New Post
Microblog
Microblog Thread
Post Reply
Post
Your session timed out.
This web page is not optimized for viewing on a mobile device. Visit this site in a desktop browser to access the full set of features.
LiveWorx 2017

USAF/ARMY – “Increase Readiness, Improve Warfighter Support” through Agile, Integrated Mission Planning

Session Description

The U.S. Department of Defense operates the most complex global supply chains in the world. The USAF is highly respected for managing one of the most complex supply chains with over 5,000 aircraft, 650,000 items, and supports weapon systems in 1,500 locations across a global theatre of operations. PTC Service Parts Management SaaS will enable the USAF to improve demand forecast accuracy, reduce planning workload, implement comprehensive supply planning with supportability, achieve near real-time supply chain metrics, improve logistics cost estimation and optimize aircraft availability by location. The U.S. Army established the Transforming Army Supply Chains (TASC) project to investigate the nature, causes, and consequences of demand uncertainty and supply variability. TASC identified and tested several catalysts for innovation, including mission-based forecasting (MBF), a new concept to support demand planning for military operations. MBF capitalizes on big data, the Internet of Things (IOT), and predictive analytics for condition-based maintenance (CBM). CBM extends predictive maintenance concepts through the use of sensors, Internet connectivity, and digital analytics to determine the remaining useful life of items and ensure replacement as needed prior to executing a particular mission. MBF testing has resulted in substantial reductions in forecast error, inventory savings of billions of dollars, and elimination of costly work-arounds.


Session Presenter
Additional Information
IoT Strategies and Business Models
Aerospace & Defense
What Mission Based Forecasting is.
How the industrial internet of things can impact and improve CBM and predictive maintenance
ROI of combining IOT technologies with existing CBM methodologies
Breakout Session
45 minutes
Session Schedule