[HTML][HTML] Industry 4.0/IIoT Platforms for manufacturing systems-A systematic review contrasting the scientific and the industrial side

H Eichelberger, C Sauer, AS Ahmadian… - Information and Software …, 2024 - Elsevier
Abstract Context: IIoT, Industry 4.0 or CPPS software platforms are cornerstones of smart
manufacturing production systems. Such platforms integrate machines, IIoT and edge …

Open source container orchestration for Industry 4.0–requirements and systematic feature analysis

A Alamoush, H Eichelberger - International Journal on Software Tools for …, 2024 - Springer
Container-based virtualization is a popular technique, eg, to realize microservice
architectures. Recently, containers became popular in Industry 4.0/IIoT systems, which …

Quality control for smart manufacturing in industry 5.0

HD Nguyen, PH Tran, TH Do, KP Tran - Artificial intelligence for smart …, 2023 - Springer
Smart manufacturing is widely accepted as the new emerging transformation of the
manufacturing industry today. In addition, quality control, an important aspect that …

Develo** an AI-enabled Industry 4.0 platform-Performance experiences on deploying AI onto an industrial edge device

H Eichelberger, G Palmer, C Niederée - Softwaretechnik-Trends Band 43 …, 2023 - dl.gi.de
Maximizing the benefits of AI for Industry 4.0 is about more than just develo** effective
new AI methods. Of equal importance is the successful integration of AI into production …

Analyzing and improving the performance of continuous container creation and deployment

A Alamoush, H Eichelberger - Softwaretechnik-Trends Band 43, Heft 4, 2023 - dl.gi.de
Continuous Deployment automates the delivery of new versions of software systems. To
ease installation and delivery, often container virtualization is applied. In this paper, we …

Asset administration shells, configuration, code generation: A power trio for industry 4.0 platforms

H Eichelberger, C Niederée - 2023 IEEE 28th International …, 2023 - ieeexplore.ieee.org
The development of intelligent solutions for manufacturing is a challenging task. Industry 4.0
platforms can provide a unifying layer here. However, flexible AI support, openness for …