A new generation of technologies has transformed workplaces and our perception of productivity, and every business is now, in a sense, a technology business. The same goes for manufacturing, where enhancing growth and profitability is becoming increasingly dependent on digitalization initiatives.
While automation certainly isn’t a brand new idea in the world of manufacturing, it is currently gaining unimaginable levels of momentum thanks to the emergence of Industry 4.0 and technologies such as AI and Machine Learning.
Setting up supply chains correctly, having to deal with huge upfront expenses, doing continuous research and staying agile in unstable markets – these are all serious challenges manufacturing companies have to face each day.
In this article, we’ll try to cover the main steps needed to conceptualize and execute a Digital Twin implementation within a manufacturing framework.
Whether you are running a large-scale manufacturing business or just starting out, one of the key performance indicators to look out for is going to be manufacturing efficiency.
In July 2018, Microsoft announced a set of changes to the way Dynamics 365 updates were going to be delivered to users, promising predictable updates, continuous deployment and early visibility of future changes – and delivering on those promises.
When discussing the future of manufacturing, it’s easy to get carried away and imagine a world where technology will solve all the problems and completely automate operations.
Among the C-Level positions in the manufacturing industry, Chief Operating Officers can find themselves doing seemingly incompatible tasks. Manufacturing COOs are driven by results, but also have to look to the future and try to implement bold ideas to stay ahead of the competition.
In the manufacturing industry, every decision is important, because it can lead to a butterfly effect and positively or adversely affect your next steps for years to come.
Virtually thousands of tech websites, articles and videos are buzzing with the same key themes. “Interconnected platforms”. “Autonomous networks”. “Smart machines” that communicate with each other and us and make contextual improvements. Machine Learning. Artificial Intelligence. Internet of Things. All of these are part of a new wave of manufacturing improvements brought on by the so called “Industry 4.0”.