How to scale intra-factory data connections in your smart factory

what is digital twin

What are the challenges when implementing Industry 4.0? It’s one of the most common questions I get asked by the executives during my Masterclasses, be it Senior Vice Presidents of Manufacturing or Global Leaders of Production.

In this small video series, I want to share my observations on the six core challenges of setting up and running a smart factory and how to overcome them.

Challenge 1: Tackling lack of scalable intra-factory data connections

One of the things I often hear from executives is “you talk about Digital Twin and Digital Shadow to generate data, but we already have so much data in our plants we are not utilising. Why should we add more sensors?” This is a common misunderstanding. Watch the video below to find out how to make informed decisions using the data generated by the digital shadow.

sensors data management

Challenge 2: Tackling lack of cross-industry standards for collaboration

One of the challenges behind the Industry 4.0 is not about digitalisation, but collaboration. Today’s technology has enabled us to connect different machinery and plants and companies already reap benefits of doing so efficiently. But some of the biggest opportunities at the core of Industry 4.0 come from exchanging data across industries. This is when one of the big challenges starts. Watch the video to find out how to prepare for cross-industry collaboration.

 standards for cross-industry collaboration

Stay tuned for the next part of the “How to overcome Industry 4.0 challenges” series, where Frank is going to discuss how to clarify your Industry 4.0 proposition and justify technology investments for your smart factory, among others.

If you’d like to find out how to create a blueprint for your smart factory and create a true digital culture, sign up for our upcoming “Leading the Factory of the Future” Masterclass here.

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