SBIR/STTR Research Award

Deep Machine learning for risk Analysis and Prediction (D-MAP) in supply chains

Award identifier f12fba1951ed1b09f2d11a20d291a557bfaf4e8b87ac824b2fecf6efe32a30cfAwarding agency Department of Defense · Missile Defense Agency

Award amount

$125,000

Program and phase

STTR · Phase I

Award year

2017

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Award details

Awarding agency
Department of Defense
Branch
Missile Defense Agency
Recipient company
Intelligent Automation, Inc.
Proposal award date
2017-03-15
Contract end date
2017-09-14
UEI
C3QJD7VXG167
Solicitation number
2016.0
Topic code
MDA16-T002

Research abstract

There is an need to collect sufficient knowledge on DoD defense systems and services supply bases, analyze and predict risks in supply chains, and take risk mitigation approaches to improve supply chains. To address this need, Intelligent Automation, Inc. proposes to design and implement the D-MAP system with the following novel components: 1) Data management module automatically collects raw data from multiple data sources, improves data quality, merges and processes raw data to obtain both features and ground truth to facilitate further analysis; 2) Data analytics module analyzes the supply chain data via advanced machine learning techniques to predict future risks; 3) Risk identification module identifies risks based on mission requirements and discovers new risks from data analysis results; and 4) Risk mitigation module recommends approaches to mitigate risks such that a supply chain can be improved to meet its mission requirements.Approved for Public Release | 17-MDA-9219 (31 May 17)

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

1,182 SBIR/STTR records share this UEI (1987–2021). Reported award amounts total $369,972,257. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Transportation, Department of Health and Human Services, National Science Foundation, Department of Homeland Security

Agency intelligence

Department of Defense

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