In recent years, Machine Learning (ML) applications for manufacturing have reached a high degree of maturity and can be considered as a suitable tool for improving production performance. In addition, ML applications can ...

The efficiency in product development is largely determined by the quality of the requirements and the ability of the product design and production planner to analyze them. Interdependencies between multiple requirements ...

Increased transparency and domain expertise are often prerequisites for identifying energy savings potentials and improving energy efficiency in manufacturing systems. Small and medium-sized enterprises pursuing a reduction ...

The use of machine learning promises great potential along the entire value chain of manufacturing companies. Many companies have already recognized the resulting opportunities for increasing enterprise value and are ...

Job shop scheduling problems (JSSPs) have been the subject of intense studies for decades because they are often at the core of significant industrial planning challenges and have a high optimization potential. As a result, ...

The automotive body shop with its high investment costs and resource intensive high automation level is not sufficiently responsive to the demands of agility and adaptivity. The coexistence of combustion engine and e-mobility ...

For most industries, Artificial Intelligence (AI) holds substantial potentials. In the last decades, the extent of data created worldwide is exponentially increasing, and this trend is likely to continue. However, despite ...