OMP Talks

Today’s supply chain planning processes are struggling to keep up with the rapidly evolving market dynamics. To address this challenge, OMP launched the Spark Initiative, a think tank that explores the potential of an outside-in planning approach. But how exactly does this approach work, and what obstacles does it encounter? OMP’s Innovation Lead, Jan Snoeckx, explains how it can transform your pl...

How can manufacturing companies integrate sustainability data and key performance indicators (KPIs) into their planning process? Which industries are at the forefront of sustainable supply chain planning ? And how can other companies follow their lead? Ioana Simon, a Green Planning expert, shares valuable insights on the challenges and best practices of sustainable planning.

Implementing data science tools in your business can be tricky. How do you choose the best techniques? Which steps are part of the process? And who do you need to involve in the project?  Wouter Verbeke, Associate Professor of Data Science at KU Leuven and experienced expert on the subject, shares best practices for a successful implementation.

Your supply chain digital twin needs master data to capture the capabilities, capacities, and performance of your production and distribution network. But what if your master data is inaccurate, based more on legacy and gut feeling than on reality? That’s why OMP developed Data Genie . Jeroen Devreese, data scientist and creator of Data Genie, shares insights of this fascinating tool with you.  

What are AIs up to? As AI increasingly influences our personal lives as well as how we plan supply chains it’s becoming more and more important to understand their intentions. Kris Dockx and Broes De Cat talk about the workings of Explainable AI (XAI).

David Huygens, Senior Product Manager at OMP and an expert in all things solver, was intrigued by the campaign planning problem when he first started working at OMP. What followed was a multi-year journey to finding the best methods for solving the campaign planning problem, drawing upon everything from mixed-integer programming to heuristics.