USA flag logo/image

An Official Website of the United States Government

Multivariate Manpower, Personnel and Training (MPT) Modeling and Management…

Award Information

Agency:
Department of Defense 		Branch:
Navy 		Award ID:
46954 		Program Year/Program:
1999 / STTR
Agency Tracking Number:
43901 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
Frontier Technology, Inc.
75 Aero Camino, Suite A Goleta, CA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1999
Title: Multivariate Manpower, Personnel and Training (MPT) Modeling and Management System
Agency / Branch: DOD / NAVY
Contract: N/A
Award Amount: $30,000.00
 

Abstract:

The Navy would greatly benefit from a computerized system that identifies environmental variables/personnel characteristics that predict accession, trainability, assignment performance, and retention of potential recruits/current personnel. A Bayesian network (BN) methodology is ideally suited to identifying/modeling predictive variables and their impacts over time. In Phase I, we propose using BNs in a multivariate statistical analysis of variables/characteristics that are important to predicting behavior for ten Navy/Marine ratings. The resultant computerized BN model will capture relationships between variables/characteristics and accession, training, performance, and retention behavior of current or future Navy personnel, so that impacts of proposed/hypothesized changes in environmental variables (such as Navy personnel policies), or personnel characteristics could be quickly evaluated. We will also anced human factors engineering principles. Since determining optimal policies by trial and error with the BN model could be cumbersome, our Phase I Option will develop a Genetic Algorithm software component to interface with the BN model to automatically explore and timal policies/characteristics based on user specified optimality criteria (e.g., retention). The option will also develop a plan for validating the system, scaling up to many more ratings, and identifying tradeoff opportunities in Phase II.

Principal Investigator:

George E Crowder, Jr.

Business Contact:

Linda A. Sparks
Small Business Information at Submission:

Frontier Technology, Inc.
6785 Hollister Avenue Goleta, CA 93117

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Georgia Tech Research Institute
400 N. 10th Street
Atlanta, GA 30318
RI Type: Nonprofit college or university