2001
DOI: 10.1002/nav.1040
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Applying Lanchester's linear law to model the Ardennes campaign

Abstract: Abstract:In modern warfare, many believe the decisive factor in winning a battle is seizing the right moment to shift from defense to attack, or vice versa. This paper attempts to bring that perspective to Lanchester's differential equations of warfare, and continues the application of Lanchester's linear law to the analysis of the World War II battle of Ardennes, as reported in earlier issues of Naval Research Logistics by Bracken and by Fricker. A new variable, shift time, accounting for the timing of the sh… Show more

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Cited by 15 publications
(4 citation statements)
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References 10 publications
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“…The Allied force wages war in a superior manner compared with the German force. This is in agreement with Bracken [1] and Chen and Chu [3], but differs from Dupuy [6], discussed below for tank warfare. It is of interest to assess how the "scatter" or fluctuations in available empirics fare with respect to the standard deviations in the approximations, where we set Cov(N 1t 0 , The high combat effectiveness 1 (t) ϭ 7.655 ϫ 10…”
Section: Simulation Of the Ardennes Campaignsupporting
confidence: 86%
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“…The Allied force wages war in a superior manner compared with the German force. This is in agreement with Bracken [1] and Chen and Chu [3], but differs from Dupuy [6], discussed below for tank warfare. It is of interest to assess how the "scatter" or fluctuations in available empirics fare with respect to the standard deviations in the approximations, where we set Cov(N 1t 0 , The high combat effectiveness 1 (t) ϭ 7.655 ϫ 10…”
Section: Simulation Of the Ardennes Campaignsupporting
confidence: 86%
“…8 With firepower scores and weights 20, 5, 40, 1 for tanks, APCs, artillery, manpower, 9 applying the "least square fit" technique (Appendix B), the optimal combat effectiveness coefficients for the 33-day Campaign are ( 1 (t), 2 (t)) ϭ (5.38 ϫ 10 Ϫ9 , 8.22 ϫ 10 Ϫ9 ). These sizes are of the same order of magnitude as those of Bracken [1], Chen and Chu [3], and Fricker [7]. 10 Simulations (not included due to space constraints) reveal that the fit between the model and the empirics is not equally satisfactory throughout the Campaign.…”
Section: Simulation Of the Ardennes Campaignmentioning
confidence: 91%
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