Our analysis ensures an even distribution of cool air is provided to maximise cooling efficiency, in both normal and failure scenarios..
Another example is Gavin Stark’s Icebreaker One project, which seeks to improve efficiency in data sharing.One challenge surrounding the issue is that bilateral sharing arrangements can actually create a significant amount of difficulty for other people.
Sharp says that what we really need is something more free-flowing, and adds that we should be nudging the market in the right direction as it develops so that we end up with an optimally connected set of systems..However, we’re also going to need to definitively demonstrate that the sharing of data will lead to capturable benefits, because such benefits are distributed, and until we demonstrate that, people won’t be motivated to take things forward.We want the people who invest to continue to invest.
Sharp points out that we use a lot of energy to make water, and a lot of water to make energy.We need to understand which is the most economically efficient, and which is the best for the environment.
Having clear, data-based answers, will help to make regulatory and policy decisions.
The more information we have, the better outcomes we’ll be able to achieve.. Impacting the future with digitisation and MMC.Many aspects of a process can be considered a variable.
For example, a warehouse can be made smaller by changing the delivery frequency or providing more in-process staging.Throughput can be increased by changing the shift pattern or by reallocating products onto under-utilised equipment.
New-build facility costs can be avoided by upgrading existing plants instead.There are many possible options for any business challenge and with digital simulations we can rapidly consider them and focus our attention on the best-performing ones.. DATA ANALYSIS DELIVERS A BETTER BUILT ENVIRONMENT.
(Editor: Heavyweight Scanners)