File:Operational resiliency assessment of an Army company team (IA operationalresil1094547870).pdf

From Wikimedia Commons, the free media repository
Jump to navigation Jump to search
Go to page
next page →
next page →
next page →

Original file(1,275 × 1,650 pixels, file size: 3.58 MB, MIME type: application/pdf, 118 pages)

Captions

Captions

Add a one-line explanation of what this file represents

Summary

[edit]
Operational resiliency assessment of an Army company team   (Wikidata search (Cirrus search) Wikidata query (SPARQL)  Create new Wikidata item based on this file)
Author
Brown, Keirn C.
Flint, Michael W.
Tallant, Dean W.
Army Operational Resiliency Team
Cohort SEA 22
image of artwork listed in title parameter on this page
Title
Operational resiliency assessment of an Army company team
Publisher
Monterey, California: Naval Postgraduate School
Description

This capstone report provides a practical example of how to assess the operational resiliency of an Army company team. In this research, operational resiliency is the ability of a company team to preserve its warfighting capability when operating in different operational scenarios comprised of distinct mission, enemy, and terrain requirements. This study evaluates three alternative configurations for their performance in three distinct scenarios (Mountain Attack, Urban Clear, and Desert Ambush) based on three measures of effectiveness (MOEs): force exchange ratio (FER), indirect-fire kill ratio (IDK), and intelligence time to detect 50% of enemy forces (INTEL). The systems engineering approach utilizes Model Based Systems Engineering (MBSE) techniques to produce nine agent-based simulation meta-models. The study performs a value-focused, multi-objective decision analysis of the three alternative configurations by developing MOE-specific value functions and scenario-specific swing-weight matrices. The results are compiled into an Operational Resiliency Decision Block that provides decision makers with a visual display tool to further analyze and assess performance. To ensure robustness of the results, the research analyzes the nine scenario-MOE weighted values for sensitivity.


Subjects: systems engineering; resiliency; and multi-objective decision analysis
Language English
Publication date December 2015
Current location
IA Collections: navalpostgraduateschoollibrary; fedlink
Accession number
operationalresil1094547870
Source
Internet Archive identifier: operationalresil1094547870
https://archive.org/download/operationalresil1094547870/operationalresil1094547870.pdf
Permission
(Reusing this file)
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.

Licensing

[edit]
Public domain
This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code. Note: This only applies to original works of the Federal Government and not to the work of any individual U.S. state, territory, commonwealth, county, municipality, or any other subdivision. This template also does not apply to postage stamp designs published by the United States Postal Service since 1978. (See § 313.6(C)(1) of Compendium of U.S. Copyright Office Practices). It also does not apply to certain US coins; see The US Mint Terms of Use.

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current13:53, 23 July 2020Thumbnail for version as of 13:53, 23 July 20201,275 × 1,650, 118 pages (3.58 MB) (talk | contribs)FEDLINK - United States Federal Collection operationalresil1094547870 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #23941)

Metadata