M&RA Manpower Models Modernization
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Authors
Seagren, Chad W.
Bacolod, Marigee
Reich, Daniel
Subjects
Model
Planning
Recruit Distribution
M&RA
ADVANA
Data Analysis
Data Visualization
Optimization
Python
R
Simulation
Stochastics
Planning
Recruit Distribution
M&RA
ADVANA
Data Analysis
Data Visualization
Optimization
Python
R
Simulation
Stochastics
Advisors
Date of Issue
2022
Date
2022
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
In his planning guidance, the Commandant states "We will... accelerate our transformation from disconnected legacy systems to an integrated data architecture that treats data as it should be - a critical resource." This project is a bold step in support of that transformation for Manpower & Reserve Affairs (M&RA). M&RA possesses numerous mathematical models that support the management of the Human Resources Development Process (HRDP). Our approach will demonstrate how M&RA can leverage the latest technology in data architecture and decision support models to overcome these deficiencies. We will formulate modernized versions of models to fill the roles currently held by the Total Force Planning Model (TFPM) and the Enlisted End-Strength Planning Model (ESPM). In addition, we will formulate a model to analyze changes in structure that currently has no legacy counterpart. Finally, we will thoroughly plan and describe the data architecture in which they reside. We will answer the following questions: 1. To what extent may we integrate a group manpower models into a family of interconnected modern models that share a data architecture scheme in order to improve planning and the human-machine teaming with analysts? 2. To what extent may the answer to (1) provide a template to modernize the rest of the system?
Type
Poster
Description
NPS NRP Project Poster
Series/Report No
Department
Department of Defense Management (DDM)
Organization
Naval Research Program (NRP)
Identifiers
NPS Report Number
Sponsors
HQMC Manpower and Reserve Affairs (M&RA)
Funder
This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp
Chief of Naval Operations (CNO)
Chief of Naval Operations (CNO)
Format
Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.