Some time ago in 2019 Tom Jenks wrote a great article that defined a Digital Twin and provided a high-level overview of the potential benefits. This technology has come of age, given recent advances that have occurred with the Internet of Things (IoT), machine learning and Artificial Intelligence. By providing access to a greater number of data points coupled with the ability to better predict other variables, it is now possible to achieve far greater calibration between the physical and digital worlds. These developments have significantly increased the value of the Digital Twin.
I am John Meulemeester from http://www.mesa.org and I would like to add some feedback to Francisco's comments, focused on some particular items.
I just read CapGemini’s Smart factories @ scale report. Some of the numbers in it caught my eye. The report is good and the methodology seems solid. And yet I believe that with such self-reported research, we need to take the findings with a grain of salt. I will be doing some critical analysis in this post.
As automotive manufacturers continue to accelerate the pace of electrification within their industry, it may surprise you that this might not be the greatest challenge facing these manufacturers, their technology partners and their internal IT departments.
We live in a world where digital technologies have warped what we now consider “normal.” For example, with the rise of the Internet of Things (IoT), it is now widely accepted that by next year, the IoT will comprise more than 30 billion connected devices. Can you imagine what 30 billion devices look like? If we are going to make sense of all this data, then we’ll need a better way to process and act upon it. Augmented Reality could be our best option.
With all the focus on new technologies and how the world of manufacturing is digitally transforming, it is easy to lose sight of what the repercussions will be with regards to how people will do their job. One thing is certain – it will be different!
Instead of a painful, time-consuming and costly process, what if being audited by the FDA, or any other regulatory body, was just part of the day to day routine? For the MedTech industry this makes perfect sense – it would not only reduce the financial overheads associated with being audited, it would also substantially reduce time and business risk.
Perhaps the most important feature of the smart factory, its connected nature, is also one of its most crucial sources of value. Smart factories require the underlying processes and materials to be connected to generate the data necessary to make real-time decisions. In a truly smart factory, assets are fitted with smart sensors so systems can continuously pull data sets from both new and traditional sources.
To bake a good cake, you must get the processes right. These include mixing to the right consistency and baking at the correct temperature for the appropriate length of time – but fundamental to your success is the recipe. To create your masterpiece, you must add the right ingredients in the proper quantities. The same is true for the MedTech manufacturers producing combination medical devices.
Speed, efficiency and effectiveness. These are three very different things but are often associated with each other. According to folklore, the fastest doesn’t always finish first - so is efficiency and effectiveness what you should be striving for? Design of Experiments (DOE) is like this. You can conduct experiments fast, but what if you miss an important interaction because you can only experiment with one factor at a time?