OPD products

Integration of data in the design and production processThe digital twin is also of central importance for mechanical engineering. From initial design to production and final use by our customers, the continuous flow and analysis of data plays a key role. By collecting and analyzing data during the design phase, we can predict machine performance and make optimizations. This data is then fed into the production process, where it is used to fine-tune machine parameters. Upon delivery to the customer, the digital twin is used to facilitate integration into existing systems and to continuously monitor and optimize the machine's performance during operation.

From design to final useIn product manufacturing, the use of digital twins enables seamless data integration from design through production to delivery to the customer. The digital twin of a product contains all relevant information collected during the design and production phases. This information is crucial for quality control and the optimization of manufacturing processes. After delivery, the data stored in the digital twin enables customers to better understand and use the product. It also helps the manufacturer to make customer-specific adjustments more efficiently and extend product lifecycles.

The digital twin enables seamless and efficient management of an infinite number of orders and batches. By virtually mapping production processes and systems, companies can monitor and control their production in real time. This system ensures precise coordination and execution of production orders.

By using digital twins, order and product changeovers can be fully automated. The technology enables production lines to be changed over quickly and efficiently without manual intervention. This reduces downtimes and minimizes sources of error, leading to a significant increase in efficiency.

The digital twin makes it possible to plan and simulate production processes in detail before physical changes are made. This precise planning makes it possible to optimize material flow and machine utilization, thereby increasing overall productivity.

Digital twins can be seamlessly integrated into existing production systems and software. They offer a platform on which all relevant data flows together, enabling comprehensive analysis and the resulting targeted improvement measures.

By efficiently designing processes and minimizing production errors, digital twins help to reduce operating costs and improve product quality. Every step in the production process is optimized, leading to a reduction in waste and an increase in end product quality.

By using energy efficiently and avoiding energy waste, companies can significantly reduce their operating costs. The funding facilitates the acquisition and implementation of advanced energy management solutions that might otherwise not be financially viable.

The introduction of energy management software helps companies to meet national and international energy standards and legal requirements. This is particularly important for compliance with environmental laws and regulations.

With the energy management software, companies can track the energy consumption of their processes and systems in detail. This promotes a deeper understanding of energy flows and costs and supports decision-making and reporting.

By optimizing their energy use, companies not only improve their environmental footprint, but also strengthen their market position. Sustainable practices are increasingly becoming an important factor for competitiveness and corporate image.

The implementation of energy management software is in line with the goals of sustainable development. Companies thus actively contribute to climate protection and improve their corporate social responsibility (CSR).

Processes can be standardized by digitizing the value stream chain. This helps to optimize the entire production process and contributes to cost efficiency.

The creation of an administration shell enables global optimization of the value chain. This enables production companies to improve and standardize their processes worldwide.

Despite global optimization and standardization, employees in the individual plants can choose from the elements of the value chain. This maintains their flexibility and agility, which is necessary for quick adjustments and decisions.

The apps complement the new ecosystem of digitalization in production. They enable effective collaboration between man and machine and contribute to the seamless integration of production processes.

By using these apps, companies can further improve their production processes, resulting in greater efficiency and productivity.

By using real-time data, companies can react quickly to changes, create forecasts and make well-founded decisions.