Measures for a successful digital transformation of SMEs
V Stich, V Zeller, J Hicking, A Kraut - Procedia Cirp, 2020 - Elsevier
Since 2016, the “Digital in NRW” Competence Centre has been supporting SMEs in the
manufacturing industry in designing their individual digital transformation. With an Industry …
manufacturing industry in designing their individual digital transformation. With an Industry …
Self-optimizing machining systems
In this paper the idea of Self-Optimizing Machining Systems (SOMS) is introduced and
discussed. Against the background of Industry 4.0, here the focus is the technological level …
discussed. Against the background of Industry 4.0, here the focus is the technological level …
[PDF][PDF] Capability Indices for Digitized Industries: A Review and Outlook of Machine Learning Applications for Predictive Process Control.
J Mayer, R Jochem - Processes, 2024 - depositonce.tu-berlin.de
Leveraging machine learning applications for predictive process control signifies a decisive
advancement in manufacturing quality management, transitioning from traditional …
advancement in manufacturing quality management, transitioning from traditional …
[HTML][HTML] Develo** a framework to analyse the effect of sustainable manufacturing adoption in Indian textile industries
This study aims to develop a framework to understand the effect of sustainable
manufacturing (SM) adoption in Indian textile industries. The survey-based methodology has …
manufacturing (SM) adoption in Indian textile industries. The survey-based methodology has …
[PDF][PDF] Overall Equipment Effectiveness (OEE) complexity for semi-automatic automotive assembly lines
In industrial practice, measuring and monitoring production performance is an essential task.
The production plan performance is monitored by middle and top management of …
The production plan performance is monitored by middle and top management of …
Visual analysis of fatigue in Industry 4.0
The performance of manufacturing operations relies heavily on the operators' performance.
When operators begin to exhibit signs of fatigue, both their individual performance and the …
When operators begin to exhibit signs of fatigue, both their individual performance and the …
Enhance of OEE by hybrid analysis at the automotive semi-automatic assembly lines
Nowadays, industrial companies are constantly improving their processes and increasing
their efficiency in order to achieve higher profits. One of the most common measures of …
their efficiency in order to achieve higher profits. One of the most common measures of …
Machine learning tools in production engineering
Abstract Machine learning methods have shown potential for the optimization of production
processes. Due to the complex relationships often inherent in those processes, the success …
processes. Due to the complex relationships often inherent in those processes, the success …
Optimization model for production scheduling taking into account preventive maintenance in an uncertainty-based production system
In the dynamic yet uncertain environment of Industry 4.0, industrial companies are utilizing
the benefits of contemporary technologies in manufacturing by striving to implement …
the benefits of contemporary technologies in manufacturing by striving to implement …
Self-description of cyber-physical production modules for a product-driven manufacturing system
The shift in customer demand from low cost to customized products has a strong influence
on production concepts. To combine the advantages of mass production such as economies …
on production concepts. To combine the advantages of mass production such as economies …