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This thesis is concerned with combining the subject areas Industry 4.0 and the implementation of manual time studies.

The results of this research provide an overview of the problems being faced regarding quality control during the manufacturing processes of technical textile in the automotive industry.

The central result is an overall process overview and a microservice architecture, with the help of which an industrial image processing system can be put into operation on the software side only by configuring the camera and entering the environment variables.

To select suitable hardware components, a five-stage decision logic is developed and implemented as a software application, which suggests suitable components to the user depending on the specified use case and prioritizes them according to list price.

Currently, the market is quite opaque, which makes it difficult to compare providers on the market and thus to compete. This thesis is written in cooperation with the Aachen-based startup developing the IIoT platform “United Manufacturing Hub”.

Because of high costs and effort PdM is only economically viable on machines and components with high revenue losses due to breakdown and where the failure is almost independent of uptime

Publications around the Industrial IoT and the United Manufacturing Hub

Agile is a project management framework originated from the software industry. Nevertheless, values and principles that define the methodology are highly relevant and applicable within the IIoT context.

Software programs that can be found in a lot of IIoT implementations