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Webinars and Presentations

Free, informative and educational webinars and recorded presentations on a variety of subjects, with more coming soon.

Contact us to give your suggestions on the subjects we should cover.

There has been an upsurge in interest in ILS recently, in part no doubt, in response to the pressures being felt by the Front Line Commands; (they need …”flexible, agile, dynamic, adaptable support solutions…”, greater “support velocity…”, greater “support precision…”, greater “visibility”). In the UK MoD the procurement executive, DE&S, are strengthening, re-establishing, their core ILS capability and new European standards are being released and a new UK ILS Defence Standard is to be developed.

So perhaps this is a good time to ask one of those dumb questions, i.e. when we say “Integrated Logistic Support”, just what is it that we are referring to when we say ‘integrated’, integrated what exactly?

Where should we invest: spares, repair or logistics?
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.

A Support Engineer, trying to do the right thing, attempting to conduct support analyses, to carry out Through Life Cost predictions, in the earlier stages of a system’s life cycle will often be told that it is too soon for such activities.  The arguments for this seem reasonable enough, the design is not mature and hence there simply is no data.

Then Too Soon, suddenly becomes Too Late, with no apparent intervening interval, we now realise that the system design is now pretty much fixed, it’s now too late to influence the this design, and because the trials have not begun, we still have no data!