There are numerous different investments that can be made in a platform support system: increase the number of spares; improve repair facilities and engineer training; reduce logistics times. Which investment will reap the largest improvements, and how do we decide? This is the type of question that decision theory aims to answer. Matthew Gibbon, leading modelling expert at Aspire, will describe in layman’s terms just exactly what decision theory is, and how it can be used to influence engineering, logistics and supply chain decision making. This webinar will demonstrate analytical methods to optimise equipment supply and support chains, and describe how this approach was used to influence support investment spend on a real-world rotorcraft project.