In this talk, we will begin with an overview of the P&D sector, the Strategy team, and the ongoing research projects. Next, we delve into planning use cases, where we apply data science methods to support critical decision-making processes. These include a digital twin of our new-build supply chain for assessing buffer and capacity strategies, the application of deep reinforcement learning for optimizing inventory planning policies, and the development of a simulation model and optimization methodology to improve production order release planning for complex modules.
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Speaker
Tijn Fleuren
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talks
Head of Planning & Delivery Strategy Research
ASML
Tijn Fleuren earned both his Bachelor’s and Master’s degrees in Econometrics and Operations Research from Tilburg University. In 2020, he began his PhD research at the same university as part of a collaborative project with ASML, culminating in his dissertation titled “Stochastic Approaches for Production-Inventory Planning: Applications to High-Tech Supply Chains”. As of September 2024, he has assumed his role as Head of Planning & Delivery Strategy Research at ASML. Tijn continues his affiliation with Tilburg University, where he serves as co-promotor, supervisor and teacher.
Bio from: Eindhoven Data Community meetup 24 - ASML
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