Exploring the validation of lanchester equations for the Battle of Kursk

This thesis explores the validation of Lanchester equations as models of the attrition process for the Battle of Kursk in World War II. The methodology and results of this study extend previous validation efforts undertaken since the development of the Ardennes Campaign Simulation Data Base (ACSDB)...

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Main Author: Dinges, John A.
Other Authors: Lucas, Thomas W.
Format: Others
Published: Monterey, California. Naval Postgraduate School 2012
Online Access:http://hdl.handle.net/10945/2540
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-25402017-05-24T16:07:47Z Exploring the validation of lanchester equations for the Battle of Kursk Dinges, John A. Lucas, Thomas W. Operations Research This thesis explores the validation of Lanchester equations as models of the attrition process for the Battle of Kursk in World War II. The methodology and results of this study extend previous validation efforts undertaken since the development of the Ardennes Campaign Simulation Data Base (ACSDB) in 1989 and the Kursk Data Base (KDB) in 1996. The KDB is a computerized database developed by the Dupuy Institute and the Center for Army Analysis from military archives in Germany and Russia. The data are two-sided, time-phased (daily), highly detailed, and encompass 15 days of the campaign. The primary areas of analysis are the effect of using purely engaged forces in parameter estimation and the effect of force weighting in forming homogeneous force strengths. Based on the numbers of personnel, tanks, armored personnel carriers, and artillery, three different data sets were constructed: all combat forces in the campaign, combat forces within contact that are both engaged and not engaged, and combat forces within contact that are engaged. In addition, a weight optimization program using a steepest ascent algorithm was developed and utilized. Findings indicate that Lanchester-based models provide a considerably better fit for data sets composed only of forces that are actively engaged. Also, Lanchesterâ s linear model appears to provide the best fit to the Battle of Kursk data. Finally, optimization of force weights does not significantly improve the fit of Lanchester models. US Army (USA) author 2012-03-14T17:35:30Z 2012-03-14T17:35:30Z 2001-06 Thesis http://hdl.handle.net/10945/2540 257445 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted. xviii, 98 p. ; application/pdf Monterey, California. Naval Postgraduate School
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description This thesis explores the validation of Lanchester equations as models of the attrition process for the Battle of Kursk in World War II. The methodology and results of this study extend previous validation efforts undertaken since the development of the Ardennes Campaign Simulation Data Base (ACSDB) in 1989 and the Kursk Data Base (KDB) in 1996. The KDB is a computerized database developed by the Dupuy Institute and the Center for Army Analysis from military archives in Germany and Russia. The data are two-sided, time-phased (daily), highly detailed, and encompass 15 days of the campaign. The primary areas of analysis are the effect of using purely engaged forces in parameter estimation and the effect of force weighting in forming homogeneous force strengths. Based on the numbers of personnel, tanks, armored personnel carriers, and artillery, three different data sets were constructed: all combat forces in the campaign, combat forces within contact that are both engaged and not engaged, and combat forces within contact that are engaged. In addition, a weight optimization program using a steepest ascent algorithm was developed and utilized. Findings indicate that Lanchester-based models provide a considerably better fit for data sets composed only of forces that are actively engaged. Also, Lanchesterâ s linear model appears to provide the best fit to the Battle of Kursk data. Finally, optimization of force weights does not significantly improve the fit of Lanchester models. === US Army (USA) author
author2 Lucas, Thomas W.
author_facet Lucas, Thomas W.
Dinges, John A.
author Dinges, John A.
spellingShingle Dinges, John A.
Exploring the validation of lanchester equations for the Battle of Kursk
author_sort Dinges, John A.
title Exploring the validation of lanchester equations for the Battle of Kursk
title_short Exploring the validation of lanchester equations for the Battle of Kursk
title_full Exploring the validation of lanchester equations for the Battle of Kursk
title_fullStr Exploring the validation of lanchester equations for the Battle of Kursk
title_full_unstemmed Exploring the validation of lanchester equations for the Battle of Kursk
title_sort exploring the validation of lanchester equations for the battle of kursk
publisher Monterey, California. Naval Postgraduate School
publishDate 2012
url http://hdl.handle.net/10945/2540
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