Challenge:
- Need for improved engineering collaboration by seamless integrated and interoperable engineering tool chains.

Goal:
- Standardized engineering tool integration & solutions for engineering automation

Solution approach:
- Data continuity in the whole supply chain based on standards
- Data continuity in the customer-supplier-relationship based on standards
- Seamless integration of data in ERP, PLM, CAx, and simulation models for virtual commissioning

Benefit for user:
- Increase productivity by automated data exchanges
- Increase output by shorter engineering times

Challenge:
- Transparency and consistency regarding updates of information and software

Goal:
- Solutions for automated and reliable update services and common device management

Solution approach:
- Information on product and machine lifecycle
- Standardized information and automated processes for software updates of products and machines

Benefit for user:
- Consideration of many products from a high number of different suppliers and machine builders
- Software update processes will be automated
- Support for regulations like the “EU Cyber Resilience Act”

Challenge:
- Lack on standards for exchanging asset information across companies

Goal:
- Solutions for interoperable information provision services

Goal:
- Solutions for automated and reliable update services and common device management

Solution approach:
- Exchange of information about assets using standardized b2b interfaces​
- Based on existing standards a scalable solution is specified and implemented by software providers

Benefit for user:
- Avoid high efforts in handling information of assets (search, digitize, tag, split, etc.)​
- Get access to specific information for assets on serial number level

Challenge:
- Current condition monitoring and related services cannot realize their full potential due to data sharing and analysis hurdles

Goal:
- Improve processes and services, while keeping data sovereignty and cost control

Solution approach:
- Sharing and fully leveraging data and expertise in a collaborative way to gain new valuable insights an open up an era of new and optimized services

Benefit for user:
- Availability of new outcome-based services to improve machine availability and maintenance costs​
- Condition and process data can be shared and fully leveraged, while retaining full data sovereignty

Challenge:
- Simplify production set-up and control

Goal:
- Solutions for self-describing machines and decentralized production process control

Solution approach:
- Machines and modules provide a semantic self-description including available skills​
- Decentral production control that ensures an optimized orchestration of process steps and (re-)scheduling

Benefit for user:
- Fast adaption of production resources to new requirements or changes / faults in the production process​
- Ensures flexibility and adaptability of production resources to increase resilience and competitiveness

Challenge:
- Enable small and medium enterprises being part of digital marketplaces

Goal:
- Digitalization and automation of bidding and order execution processes for manufacturing as a service​

Solution approach:
- Automatic capacity and cost analysis ​
- Matchmaking for manufacturing supply and demand​
- Quality data models and control​
- Shopfloor connectivity and interoperability based on standards

Benefit for user:
- Effort reduction in bidding process​
- New business potentials

Challenge:
- Need for methods & tools for autonomous operation of machines & factories

Goal:
- Solutions for smart remote monitoring and operations

Solution approach:
- Autonomous Operation-as-a-Service addresses the optimal operation of machines and factories without the need for the physical presence of skilled personnel on site

Benefit for user:
- Perform on-demand production shifts remotely​
- Automate and assist machine interactions using sensors data & AI

Challenge:
- Traceability of data within a factory and across the supply chain

Goal:
- Solutions for management of history and usage of material, parts and products

Solution approach:
- Enable the traceability and lifelong documentation of product data​
- Integrate information when, where and how a product was manufactured ​(temp., torque, pressure, location, etc.)​
- Use BoM as planned, build, maintained

Benefit for user:
- Full transparency about the origin and use of parts for all participants in the value chain

Challenge:
- Reduction of energy consumption and energy costs

Goal:
- Solutions for detailed energy monitoring, energy saving features and an optimized energy and load management

Solution approach (Energy-Consumption):
- Integration of software components for energy data acquisition, using (soft) sensors and controller functions​
- Digital twin for energy demand break down

Benefit for user (Energy-Consumption):
- Contribute to sustainability goals by actively managing and reducing energy consumption​
- Enhance competitiveness by reducing energy costs and improving overall operational efficiency

Solution approach (Load Management):
- Providing software applications for monitoring and forecasting energy consumption and peak loads​
- Enabling new business models by offering industrial energy flexibility to balancing group operators and grid operators

Benefit for user (Load Management):
- Provide energy forecast for manufacturing​
- Enhance competitiveness by reducing energy costs and avoiding peak loads

Challenge:
- Reduce CO2-footprint and become CO2-neutral

Goal:
- Solutions for CO2-transparancy along entire supply chain

Solution approach:
- Examination of the entire supply chain for CO2 reduction​
- Inclusion of emissions in production and product life cycle

Benefit for user:
- Ensuring compliance with CO2 reporting regulations​
- Meeting the increasing regulatory standards​
- Contribution to achieving sustainability goals​
- Strengthening the brand image as an environmentally conscious supplier

Challenge:
- Use full product transparency to transfer industrial products to second life

Goal:
- Solutions for assessing remanufacturing, refurbishment & recycling measures

Solution approach:
- APPs realize the “R” business content for all companies (Refurbishing, Re-manufacture, Re-cycling) of components and machines​
- Efficient automated “R” data generation regarding remaining life-time data

Benefit for user:
- Useful product transparency to transfer industrial products to second life​
- Enabling of “R” business models

This Usecase is only a connecting point for all capabilities and other data ojects