Manufacturing Solutions
Cloud-native microservices in monorepos – Part 2
This series highlights the implementation of microservice architectures with monorepos and serverless cloud applications. Part 2 shows how the Nx build system can be used in this context and emphasizes the advantages of monorepos in combination with the appropriate CI/CD structure.
Cloud-native microservices in monorepos – Part 1
This series highlights the implementation of microservice architectures with monorepos and serverless cloud applications. Part 1 looks at the challenges in managing microservices in a typical multi-repo set-up and suggests integration into monorepos.
Data platforms for Factory 4.0 – make or buy? The foundation for smart production
This blog post examines the role of data platforms in Factory 4.0 and discusses the pros and cons of standard software and customised software. The quality and availability of process data have a crucial bearing on the way that modern digital technologies are implemented. Data platforms are able to collect and provide this data from different sources. Standard software is available and ready to use quickly, but it may not fulfil all the specific requirements. A customised cloud-native solution can be adapted as requirements change and offers a high level of investment security. It also enables several companies to work together on the data platform to create a greater level of added value.
Cyber-physical systems as a pillar of Industry 4.0
Cyber-physical systems control processes by combining electronics, complex software and network communication. This article introduces characteristics and a suitable model. The article also presents an exemplary interconnected and highly automated manufacturing machine.
Data-driven Process Control – Part 3: Controlling System Behaviour
This third and last part of the article series on data-driven process control provides an introduction to approaches for controlling systems. The focus is on the classic “model-predictive-control” scheme, which is combined with the results for system modeling from the second article to form a purely data-driven control strategy.
Data-driven Process Control – Part 2: Modelling System Behaviour
After the first article in this series dealt with the general basic building blocks of control systems, the second article is dedicated to modeling the behavior of systems. The focus here is on differentiating between different types of modeling. The main part of the article introduces a special data-driven approach that has recently attracted growing scientific interest.
Data-driven process control – Part 1
The automatic control of complex systems poses a growing theoretical and technical challenge. Regardless of whether these systems are biological or chemical reactors, wind turbines, power grids, airplanes or even manufacturing systems, the questions to be answered are always comparable. This upcoming series of articles will give an introduction to this interesting field and, in the first part, will cover the general basic components of control systems using a production example.
Test-driven development for Blazor web components with bUnit
The bUnit library can be used to create unit tests for Blazor web front-ends. This allows you to create many tests that can be run quickly. Examples are used to present the first steps and the most important features of bUnit.
Web UIs with Blazor and possible use cases in industry
Blazor is a Microsoft framework for creating interactive web frontends with C#. Three deployment models are available for Blazor apps. The different architectures have a strong effect on the applications. This is explored by examples in industry.
Digital twins: a central pillar of Industry 4.0
In the so-called “Industry 4.0”, the productive times of machines and entire production lines are largely optimized in many industries. Therefore, the optimization of unproductive times, as machine downtime and reject production, are now being considered. Digital twins of production lines can be created using comprehensive data capture. Our author Marco Grafe discusses what is behind digital twins, what they are used for and whether we need them at all.