Summaries - Office of Research & Innovation
Back Predictive Push Logistic using Runtime monitoring of Hidden and Visible Data
|Division||Research & Sponsored Programs|
|Department||Naval Research Program|
|Sponsor||NPS Naval Research Program (Navy)|
Purpose: To enable predictive push logistics instead of the existing, pull-based logistics approach.
Background: Distributed lethality seeks to capitalize on the mobility and dispersed presence of naval forces through increased lethality over time looking out to 2030. Operating over an extended geographic area, particularly in the littorals creates a range of operational problems for an adversary by diluting its force to locate distributed, but lethal, Surface Action Groups (SAG) further complicating the adversary's ability to focus on the high value unit. Distributed lethality (DL) also presents a complicated logistics problem in supporting that distributed force. A key component of DL is predictive push-logistics, where suppliers use a push model rather than waiting for consumers to pull. This research focuses on predictive push-logistics.
As part of a DTRA funded basic research effort, the PI developed hybrid run-time-monitoring, a hybrid pattern monitoring technique capable of detecting (flagging) sequential patterns of visible and hidden data. By perceiving certain logistics attributes as hidden data we will apply this technique to the predictive logistics problem.
|Publications||Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal|
|Data||Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal|