A fast approximation of an inhomogeneous stochastic Lanchester model

Author(s):  
Donghyun Kim ◽  
Hyungil Moon ◽  
Donghyun Park ◽  
Hayong Shin
Keyword(s):  
2012 ◽  
Vol 45 (25) ◽  
pp. 27-32 ◽  
Author(s):  
Gustav Feichtinger ◽  
Andreas Novak ◽  
Stefan Wrzaczek
Keyword(s):  

1991 ◽  
Vol 28 (4) ◽  
pp. 397-405 ◽  
Author(s):  
Sehoon Park ◽  
Minhi Hahn

To investigate the effects of pulsing for a firm responding to its competitor's even or pulsed advertising, the authors use a discrete version of the Lanchester model. They show that pulsing can be superior to the even strategy even if the change in market shares is a concave function of advertising. Also, if the advertising response is linear or convex, (1) pulsing is superior to the even strategy and (2) it is more beneficial for the firm to advertise at the high (low) level when its rival advertises at the low (high) level if the firm has stronger brand power, greater net pulsing effect, or a more convex advertising response than its rival firm.


Author(s):  
Alexander C. Kalloniatis ◽  
Keeley Hoek ◽  
Mathew Zuparic ◽  
Markus Brede
Keyword(s):  

2006 ◽  
Vol 52 (5) ◽  
pp. 804-811 ◽  
Author(s):  
Michèle Breton ◽  
Ramla Jarrar ◽  
Georges Zaccour

2014 ◽  
Vol 31 (05) ◽  
pp. 1450031
Author(s):  
Pei-Leen Liu ◽  
Huai-Ku Sun ◽  
Yue-Tarng You

The Lanchester Model has been widely used to explain the main features of the battle. However, its application to actual cases seems to be limited. The purpose of this study is to attempt to extend the Lanchester Model with the System Dynamics approach in order to better suit the real modern AirLand Battle case. To demonstrate how the AirLand Battle System Dynamics model works and how it provides easier ways to account for variables, normally present in real combat situations, three common tactical scenarios are employed for simulation. The results indicate that the developed model can fully describe AirLand Battle and reflect the synergy that results from the interaction of strategies and force redeployment. The proposed model, in addition, allows users to easily adjust settings when simulating different scenarios.


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