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RAND conducted a lessons learned examination of operations analysis, modeling, and simulation in support of Operation Enduring Freedom and Operation Iraqi Freedom. This report identifies ways in which analysts have attempted to support commanders' decisions in counterinsurgency and irregular warfare, describes many of the models and tools they employed, provides insight into the challenges they faced, and suggests ways in which the application of modeling, simulation, and analysis might be improved for current and future operations. RAND identified four broad categories of decisions: force protection, logistics, campaign assessment, and force structuring. Modeling, simulation, and analysis were most effective in supporting force protection and logistics decisions, and least effective in supporting campaign assessment and force structuring.
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Subjects
Counterinsurgency, Logistics, Military planning, Irregular warfare, Computer simulation, Decision making, Evaluation, Simulation methods, Soldiers, Iraq War, 2003-2011, Protection, Afghan War, 2001-, Operations research, Afghanistan, politics and government, Iraq, politics and government, Middle east, military policyPlaces
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Modeling, simulation, and operations analysis in Afghanistan and Iraq: operational vignettes, lessons learned, and a survey of selected efforts
2014, RAND Corporation
in English
0833082116 9780833082114
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Book Details
Table of Contents
Edition Notes
"RR-382-OSD."--Page 4 of cover.
"National Defense Research Institute."
"Prepared for the Office of the Secretary of Defense, Cost Assessment and Program Evaluation."--Title page.
"Approved for public release; distribution unlimited."--Title page.
Includes bibliographical references (pages 137-167).
"This research was sponsored by OSD-CAPE and conducted within the International Security and Defense Policy Center of the RAND National Defense Research Institute ... under contract W74V8H-06-C-0002."--Title page verso.
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September 18, 2021 | Edited by ImportBot | import existing book |
October 18, 2020 | Created by MARC Bot | import new book |