Case Study
Adaptive Scheduling Digital Twin
Project challenges
Dynamic changes are unavoidable in real world manufacturing scenarios. Key to success is an organisation's ability to quickly respond and adapt to new situations.
Business challenge
Digital Transformation
Sector
Aerospace
Technology or capability
Digital Manufacturing
Simulation & Modelling
Industrial Transformation
The Challenge
- Dynamic changes are unavoidable in real world manufacturing scenarios.
- There are many sources of changes across manufacturing organisations; common examples include: rush orders, equipment failure, cancelled orders, labour shortage, and late deliveries supplies.
- Collect up-to-date and reliable information on the latest situation to make optimal decisions to minimise overall impact.
- Key to success is an organisation's ability to quickly respond and adapt to new situations.
MTC's Solution
- Automatic detections of changes from live data
- Connected production simulation to predict future impact across factory performance indicators.
- Computational intelligence algorithms to identify optimal response to changes and minimise impact.
- Digital integration platform to embed digital twin across manufacturing operation management systems, such as EPR, MES, etc.
- Developed using MTC member's software, include Siemens Tecnomatrix Plant Simulation, Siemens Simcentre HEEDS, and FICO Xpress, amongst others.
This work is a key example of MTC’s digital engineering ability to mature and refine the latest technological innovations, and support de-risking adoption for aerospace manufacturing, accelerating digital transformation.
Paulino Rocher, Technology Manager, MTC
The Outcome
- End-to-end digital twin proof-of-concept demonstrator.
- Demonstration of a range of scenarios representing real-world dynamic changes in aerospace manufacturing.
- Solution architecture designed for digital twin's system-of-systems integration.
- Data flows mapped and linked to suitable middleware components.
- Activity diagrams specifying functional requirements for development and implementation.
- User experience to embed digital twin across digital manufacturing operation management systems, such as ERP, MES, CMMS, etc.
Benefits to the Client
- Proof of concept demonstration of digital twin solution with integrated digital technologies.
- Digital twin solution design that works for the client’s organisation, tailored to specific needs and priorities.
- Tool to assess business case to de-risk and justify digital twin investment as well as identification of operating model opportunities.
- Knowledge transfer on digital twin technologies and integrations to become intelligent customer for further development and adoption.
- Digital twin ontology as a communication vehicle to delineate abstract digital twin concepts for aligning stakeholders moving forward.
