The Importance Of Strategically Focused Force Design
BRIGADIER IAN LANGFORD- DIRECTOR GENERAL FUTURE LAND WARFARE
“People, Ideas, Machines…in that order!”
Colonel John Boyd
US Defense Implications of Expanding China
This U.S. DoD report assesses China’s global expansion efforts and the implications for the U.S. in terms of military access, logistics, force posture and training. The report has generated discussion and various assessments can be found online across the national security community.
Optimization of Condition-Based Maintenance Using Soft Computing
Due to high costs associated with conventional maintenance strategies, application of soft computing in monitoring the condition of equipment to predict the health of various components of machine tools in manufacturing processes has attracted the attention of researchers.
Australian Defence Logistics - The Need to Enable and Equip Logistics Transformation
This report aims to highlight to the wider Defence community the challenges faced by Defence Logisticians and the lack of priority that Defence leaders have placed on Logistics in the past. Defence needs to place greater emphasis on the Defence Logistic function if it is to meet the challenges of a more complex and challenging operating environment in the future.
Understanding Why a Ground Combat Vehicle That Carries Nine Dismounts Is Important to the Army
The Army has examined the lessons of half a dozen significant conflicts, starting with World War II, has conducted numerous studies over the last 65 years, and has found time and again that an ability to conduct dismounted fire and maneuver is the fundamental squad-level tactic.
Development of an Algorithm for Calculating the ‘Risk’ of Terrorist CBRN
In order to avert a disaster from a terrorist chemical, biological, radiological or nuclear (CBRN) attack, it is important to study the likelihood of terrorists using CBRN weapons. This study reports on the development of an algorithm for calculating the ‘risk’ of a terrorist seeking CBRN weaponry with 67.3 percent prediction accuracy.