Webinar · past event
Smarter planning in complex production environments
A practical webinar for operations and maintenance leaders who are ready to move beyond reactive working.
- Date
- 23 June 2026
- Time
- 13.00–13.45 hrs
- Where
- Online
Data Science Lab clients
How to plan faster and better in complex production environments with bespoke data and AI solutions
Many production companies use ERP systems and planning tools that do not adequately reflect the complexity of their operations. As a result, planning takes a lot of time, visibility into capacity is limited and delays occur.
In this webinar, we show how a bespoke planning solution brings all relevant data sources together in one place. This gives you real-time visibility into capacity, availability, dependencies and potential delays.
Standard planning software cannot capture the complexity of production processes. In practice, teams often use a combination of ERP, Excel and manual checks. This takes time, makes planning prone to errors and leaves teams without enough visibility into capacity, dependencies and delays.
Fokker Services Group faced these challenges too. Limited availability of specialist staff, numerous dependencies and complex maintenance and production processes made planning increasingly time-consuming and prone to errors. Using Fokker Services Group’s experience, we show how smarter planning gives teams more control, supports faster decisions and makes operations more efficient.
After this webinar, you’ll know:
- Why standard ERP and planning software falls short in complex production environments
- How Fokker brought different data sources together in one central planning environment
- How to gain real-time visibility into capacity, skills and availability
- How automated checks help reveal errors and dependencies
- How to spot delays earlier and help teams adjust course faster
About the speakers,
-
Younes Seghrouchni
Managing Consultant GenAI & Data Strategy
Younes is a Managing Consultant in GenAI & Data Strategy. He helps organisations use data and (Generative) AI strategically and pragmatically to achieve tangible business impact. He works end to end, from data strategy to identifying and delivering use cases. As a Managing Consultant in the GenAI practice, he works at the intersection of business and technology, often as a sounding board for C-level executives. His clients have included Fokker Services Group, DPG Media, Athlon and Agro Care.
-
Justo van der Werf
Senior Data Scientist
Justo is a Data Scientist at Data Science Lab who specialises in developing AI solutions that can be applied directly in practice. He combines a strong technical foundation with a clear focus on business impact, working on a range of data and AI challenges, from machine learning and predictive modelling to computer vision applications. On projects, he moves easily between experimentation and implementation, helping organisations turn complex data challenges into practical solutions. His work includes innovative AI and data solutions for Fokker Services Group.
Programme,
23 June 2026, 13.00–13.45 hrs
Opening
How many of your operational disruptions still come as a surprise? We start with a familiar picture of the challenges many operations teams face.
Why the usual solutions do not work
More meetings, tighter planning or extra capacity often fail to solve the underlying problem. We show where standard planning tools and ERP systems fall short.
How Fokker Services Group approached it
The case study: how Fokker Services Group brought different data sources together in one central planning environment for greater control, speed and predictability.
The 3 steps towards predictability
A practical framework for organisations that want to plan more effectively in complex production and maintenance environments.
Q&A
Put your questions directly to the speakers.
Despite the project’s growing scale and complexity, the developers remained engaged and worked with us to find solutions. Thanks to this collaboration, we now have a specialised tool we can rely on with confidence every day.
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