Invited leadership talk
Global pharmaceutical company
Digital Twins in manufacturing
Strategy · Transformation · Advisory
Turning Digital Twins and AI into measurable business value.
Dr. Christian Kober helps manufacturing leaders move from Digital Twin and AI ambition to strategic clarity, prioritised action, and value that shows up in the business.
For selected enquiries, get in touch
About
Dr. Christian Kober
Christian is an independent advisor and researcher at the intersection of manufacturing strategy, Digital Twins, AI, and business value. He is Executive Co-Director of the ETH-HSG Manufacturing Alliance, a joint initiative of ETH Zurich and the University of St.Gallen that connects 13 of the world’s leading manufacturers with applied research, and a postdoctoral researcher at ETH Zurich. He earned his doctorate with the highest distinction in collaboration with Airbus and brings real-world experience across aerospace and automotive manufacturing and product development.
Full profileWhat makes the perspective distinctive
Credible across worlds that rarely come close.
Most Digital Twin and AI initiatives do not fail within one of these worlds, but in the gaps between them. Christian’s interdisciplinary experience combines these perspectives into a coherent view.
Science
ETH · St.Gallen · Cambridge · Auckland
Industry
Manufacturing Alliance · Airbus · Mercedes-Benz
Technology
Digital Twins · Simulation · AI
Business
Value · Strategy · Governance
Shop floor
Final assembly · Parts production
Boardroom
Executive sparring · Leadership talks
Industrial network
Connected to the world’s leading manufacturers.
As an independent advisor, Executive Co-Director of the ETH-HSG Manufacturing Alliance, and researcher, Christian works with more than 15 leading manufacturers across industries worldwide, solving complex problems in real manufacturing environments and translating research into practice.
Experience across industries
AerospaceAutomotiveFood and BeverageMachineryMedTechPharmaceuticalsPrecision ComponentsProcess AutomationSemiconductor
Schneider Electric
Schindler
Endress+Hauser
Roche Diagnostics
Roche
Novartis
Johnson & Johnson
Takeda
SHL Medical
Nestlé
Lindt & Sprüngli
Givaudan
SFS Group
And more
Research only creates value when it moves beyond academia and into practice. This perspective, shaped by years of close engagement across multiple organisations, informs both his independent advisory work and research.
The companies shown are members of the ETH-HSG Manufacturing Alliance, where Christian serves as Executive Co-Director. His independent advisory activities are conducted separately from this institutional role.
Speaking
In the room with decision-makers.
Christian presents to executive and academic audiences and moderates discussions with senior industry leaders. His talks bring insights from research into the strategic and operational questions decision-makers are actually weighing.
Featured
Operations Executive Forum
As one of three invited experts, Christian delivered a keynote and joined a panel discussion with around 30 senior manufacturing executives from member companies of the ETH-HSG Manufacturing Alliance. He presented evidence on how Digital Twin initiatives create business value and the strategic decisions that determine whether they move beyond pilots.
Event detailsSelected industry talks
Invited talk
Global tyre manufacturer
Unlocking the Real Value of Digital Twins in Manufacturing: Success Criteria for Value-Oriented Digital Twin Development and Implementation
Latest academic conference
Conference presentation
20th CIRP Conference on Intelligent Computation in Manufacturing Engineering
Creating Value with Low-Fidelity Digital Twins in Aircraft Assembly: Process Monitoring and Transparency through Real-Time Data Integration
Point of View
How Christian thinks.
01
Technology is rarely the hardest part.
The difficult work is creating shared understanding, choosing the right problem, and building ownership for change.
02
Value should determine complexity.
Data, models, and technology should be only as sophisticated as the decisions and benefits they need to support.
03
Technology is advancing faster than manufacturing can adopt it.
As possibilities multiply while resources remain limited, companies must prioritise opportunities with the strongest potential and the most manageable risk.
04
Pilots prove potential, not scalability.
Scaling requires clear ownership, governance, capabilities, and integration into everyday operations.
05
Transformation is a portfolio discipline.
Resources should move towards initiatives with strong evidence and away from those that no longer justify further investment.
Typical starting points
Questions that create clarity when major commitments are made.
Typical questions that help clarify priorities, organisational readiness, and next steps include:
Which business objectives should Digital Twins and AI support?
What data and model maturity are needed, and how much complexity is justified?
How can consistent support be built across all organisational levels?
Where are the highest impact starting points?
How can successful pilots be scaled across the organisation?
How will value be measured, and where should resources be focused?
Research and publications
Selected research.
2026
Creating Value with Low-Fidelity Digital Twins in Aircraft Assembly: Process Monitoring and Transparency through Real-Time Data Integration
20th CIRP Conference on Intelligent Computation in Manufacturing Engineering · Naples, Italy · Procedia CIRP
Why it matters: Shows how a deliberately low-fidelity Digital Twin can create operational value through real-time monitoring and transparency without unnecessary modelling complexity.
2025
Success Criteria for Value-Oriented Digital Twin Development and Implementation: Insights from an Industry Case Study
International Journal of Production Research
Why it matters: Shows through a real industrial implementation how a Digital Twin can be developed and implemented to maximise value in an operational manufacturing environment.
2025
Integrating Large Language Models and Digital Twins in Manufacturing: Opportunities and Challenges for Production Logistics and Assembly Environments
44th IFIP International Conference on Advances in Production Management Systems (APMS) · Kamakura, Japan · Springer Nature
Why it matters: Explores how Large Language Models and Digital Twins can be used synergistically in production logistics and assembly to create new capabilities and value.
2024
Digital Twin Stakeholder Communication: Characteristics, Challenges, and Best Practices
Computers in Industry
Why it matters: Shows why communication between stakeholders is one of the most underestimated yet critical challenges in Digital Twin projects.
2023
Relations of Digital Twin Fidelity and Benefits: A Design-to-Value Approach
33rd CIRP Design Conference · Sydney, Australia · Procedia CIRP
Why it matters: Shows why Digital Twin fidelity is a central design variable that directly shapes both potential benefits and costs.
2022
Challenges of Digital Twin Application in Manufacturing
16th IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2022 · Kuala Lumpur, Malaysia · IEEE Xplore
Why it matters: Identifies the technical, organisational, and methodological challenges that hinder Digital Twin adoption in manufacturing.
Contact
The clarity to back the right initiatives.
For selected advisory enquiries, invited talks, and research collaboration.
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