The path to the Smart Factory – more than automation and Industry 4.0

When it comes to Smart Factories many people think of automation only and maybe even of a factory without people. That’s too short: there is not THE smart factory. A factory can only become truly smart if all solutions also match the processes, batch sizes and products. A lot of analysis has to be done, a clear view on processes is needed and much more to be able to get it right.

Of course, people also play an important role – only when they can use their skills purposefully a real smart factory can be created.

Still, there are some basics that must be in place to become smart. This does include a real-time capability and connected machines and devices or sensors. We also have to know our processes in detail and how quick and robust they are.

When we always know immediately what is really going on, we will be able to react and decide faster and better. In addition, we collect big data which we can use with the help of future-proof technologies such as DIGITAL TWINS, AI and RPA – later, step by step.

  • Smart Factory – WHAT does that mean for us?
  • Which purpose has a smart factory for us?
  • REAL-TIME CAPABILITY and transparency – improve the basis for decision-making.
  • Develop new ROUTINES and rules – react faster and better, make better decisions.
  • Making the most of technology and DATA – including automatic recommendations.
  • Connecting people, functions, and processes in the company in a smart and lean way.
  • Can DIGITAL TWINS help us?
  • Do we need AI?
  • Should we automate decisions?

Maturity Level Smart Factory and Industry 4.0

Do you want to know your current state? With a 4-level model, the current maturity level Smart Factory and Industry 4.0 can be determined:

  • Where are we today?
  • Which requirements for further steps are fulfilled, which areas need to be improved, which topics need to be addressed?
  • Which fields of action are important to us? In which order?
  • How can we define goals and measure our progress?


The basis for the successful path to Industry 4.0

#Industry40 #SmartFactory #MES #IoT #IIoT #Networking #DigitalTransformation #ConnectedEnterprise #DigitalSkills #Edge

People, culture, processes – every company is made up of these elements – and each of these elements will be affected by digitalization – ALL AT THE SAME TIME.
This challenge can only be met with the appropriate knowledge and willingness to shape the future. Every company needs to deal with the digital future.
The company’s own employees play a decisive role in this: they know the company, the business and the market best. However, they often lack an idea of where to start: For the first steps towards Industry 4.0 and identifying individual fields of action, I offer the following starter package:

  • TERM SLAM Digitalization (1/2 day).
    Seeing through the thicket of terms
  • The way to the Smart Factory (2 days)
    Industry 4.0 with sense and understanding
  • Site assessment and GAP analysis on site (2 days)
    Determine your own Industrie 4.0 maturity level and derive fields of action
  • What is a Smart Factory and what is not?
  • Smart Factory, (i) IoT and Industry 4.0 – similarities and differences
  • The way to the Smart Factory in 4 stages
  • The path to the Smart Factory in 4 stages
  • Requirements: REAL-TIME CAPABILITY, digital networking, interfaces and transparency
  • Industry 4.0 now: What can we do immediately and what decisions can we make later?
  • Implementing a clear strategy and roadmap
  • How can we determine, describe and measure our current state?
  • How do we derive meaningful next steps?
  • What is a Smart Factory and what are its advantages?
  • The path to the Smart Factory in 4 different stages
  • What is the role of humans in a Smart Factory?
  • Where to start? Which prerequisites must be worked on?
  • Machine-language and IT-language – what differences are there?
  • Wireless technologies (e. g. LoRaWAN, 5G)
  • Establish connections – the role of gateways, OPC UA and co.
  • Connecting and retro-fitting older machines and systems
  • Possibilities to integrate sensors
  • What is Predictive Maintenance and why are so many people talking about it ?
  • What are Digital Twins?
  • Do Predictive Maintenance and Digital Twins belong together?
  • How does a paperless production work?
  • Which prerequisites are needed (e. g. hardware, routines)?
  • What is Dynamic Worker Guidance?