BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//EURO Practitioners' Forum - ECPv6.15.13.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.euro-online.org/websites/or-in-practice
X-WR-CALDESC:Events for EURO Practitioners' Forum
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20250101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20260410T100000
DTEND;TZID=UTC:20260410T110000
DTSTAMP:20260619T094705
CREATED:20260313T142357Z
LAST-MODIFIED:20260313T142357Z
UID:2196-1775815200-1775818800@www.euro-online.org
SUMMARY:A practical approach to replenishment optimization with extended (R\, s\, Q) policy and probabilistic models
DESCRIPTION:Speakers: Alva Presbitero (Senior Applied Scientist\, Zalando) and Shikhar Dev (Senior Machine Learning Engineer\, Zalando) \nIn the high-stakes world of e-commerce\, inventory management is a constant “Inventory Paradox”: carry too much stock and capital is trapped in liquidation; carry too little and you face the “silent killer” of retail—stock-outs. This webinar demonstrates how the ZEOS Inventory Optimization Tool addresses these challenges by unifying probabilistic demand forecasting with Monte Carlo discrete event simulation to drive optimal replenishment decisions. \nThe session is divided into two specialized deep dives: \nPart 1: Applied Science Deep Dive \nWe explore the research and methodology behind the engine\, focusing on these key technical learnings: \n● Extending classical (R\, s\, Q) policies: How we created recommendations that actually fit the fast-paced e-commerce landscape. \n● Probabilistic Demand Modeling: Why our backtest results suggest that modeling full demand probability distributions is far more effective than single-value forecasts. \n● Cost Profile Optimization: How combining probabilistic forecasting with the distribution of our cost profile (optimizing for the 75th percentile) yielded significantly better results than simply looking at the mean. \nPart 2: Machine Learning Engineering Deep Dive \nWe reveal the technical architecture and tools used to put the system into production at scale: \n● Monte Carlo Simulation at Scale: How we used discrete event simulation to stress-test policies across thousands of “alternate timelines” to find the optimal replenishment timing and quantities. \n● Modern ML Stack: A look at how we transitioned research code to scalable and efficient pipelines using AWS\, SageMaker\, and Databricks\, orchestrated by zFlow. \n● Scaling to Millions: Managing feature engineering\, online feature stores\, and real-time inference for millions of SKUs. \nReferences: \n1. AS: https://www.nature.com/articles/s41598-025-32537-2 \n2. MLE: https://engineering.zalando.com/posts/2025/06/inventory-optimisation-system.html \n  \nAbout the speakers: \nAlva Presbitero\, Senior Applied Scientist\, Zalando \nAlva is a Senior Applied Scientist at Zalando\, focusing on the research and data science that powers the ZEOS replenishment engine. She earned her PhD in Computational Science at the University of Amsterdam\, where her research focused on modeling the human innate immune system. Drawing on an extensive background in applied science\, her earlier work was rooted in complexity science\, agent-based modeling\, and computational immunology. \nToday\, she loves using that foundation in complex\, stochastic systems to build scalable and smart inventory solutions for the world of e-commerce. \nShikhar Dev\, Senior Machine Learning Engineer\, Zalando \nShikhar Dev is a founding member of the data and ML engineering team at ZEOS\, where he established the vision and technical foundations for the department’s ML infrastructure. With over a decade of experience and a Master’s in Computer Science from TU Delft\, Shikhar specializes in bridging the gap between research and production. Beyond his work at ZEOS\, Shikhar contributes to Zalando’s broader ML Engineering strategy while also laying the technical foundations for the next generation of GenAI solutions within the department. \n 
URL:https://www.euro-online.org/websites/or-in-practice/event/a-practical-approach-to-replenishment-optimization-with-extended-r-s-q-policy-and-probabilistic-models/
ATTACH;FMTTYPE=image/png:https://www.euro-online.org/websites/or-in-practice/wp-content/uploads/sites/8/2026/03/2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260427
DTEND;VALUE=DATE:20260429
DTSTAMP:20260619T094705
CREATED:20250620T063738Z
LAST-MODIFIED:20260416T171238Z
UID:1982-1777248000-1777420799@www.euro-online.org
SUMMARY:EURO Practitioners’ Forum 6th Annual Conference
DESCRIPTION:Unlocking OR for all: from Models to Business Impact\nMonday 27 April – Tuesday 28 April 2026 \nWarsaw University of Technology\, Poland\nConference programme \nThe theme of this year’s conference is the end-to-end process of designing\, developing\, and deploying optimization projects. We will discuss not only models and algorithms\, but how Operations Researchers can engage with end users\, stakeholders and work with other specialists to deliver impact in their work. The core focus of the conference is this intersection of research\, expertise and practical applications and how it affects OR projects in all stages\, from conceptualization to practical use. \nThe conference will explore how to make OR solutions more easily accessible to a wider\, non-expert audience\, and discussions and presentations will help us as practitioners better understand how we can bring our solutions into use. The goal is to increase the impact and usage of OR across industries and application domains. \nMore details can be found at https://www.euro-online.org/websites/or-in-practice/euro-practitioners-forum-6th-annual-conference/ \nImportant dates: \n\n11 January\, 2026: Submission deadline\n31 January\, 2026: Notification of acceptance\n20 February\, 2026: Final version of submissions\n5 March\, 2026: Author registration deadline\n20 March\, 2026: Early bird registration deadline (registration for the conference dinner no longer possible after this date)\n\n\nREGISTRATION\n  \nContact \nFor any inquiries\, please contact the conference organisers on this address: epf2026@pw.edu.pl \n  \n \n\nKeynote speakers\n\n\nSylwester Ciodyk (Ortec Poland): Practical Optimization: Real-World Success Stories\nPaweł Lichocki (Google): An engineering perspective on mixed integer programming in computer systems\nMichał Kłos (PSE S.A. (the Polish Transmission System Operator)): Framing Fairness: A Practical Approach to Beyond-Cost Optimization for TSOs’ Mathematical Programming Problems\nGeoffrey De Smet (Timefold): How to build an open source solver and a company around it\nTomasz Stopa (IBM): Quantum computer – from holy grail to your favorite toy\n\n  \n  \n\nOrganisation committee: \nVladimir Fux\, Zalando (Germany)\, Michele Quattrone\, AirLiquide (France)\, Sander van Aken\, Flix SE (Germany)\, Torkel Haufman\, Sintef (Norway)\, Waldemar Kocjan\, Boeing (Sweden)\, Izabela Żółtowska\, Warsaw University of Technology (Poland)\, Mariusz Kaleta\, Warsaw University of Technology (Poland)\, Susanne Heipcke\, FICO (France)  chair \n\nHosted by:
URL:https://www.euro-online.org/websites/or-in-practice/event/euro-practitioners-forum-6th-annual-conference/
ATTACH;FMTTYPE=image/jpeg:https://www.euro-online.org/websites/or-in-practice/wp-content/uploads/sites/8/2025/06/Kampus_Budynki_-2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260605T140000
DTEND;TZID=UTC:20260605T150000
DTSTAMP:20260619T094705
CREATED:20260605T113215Z
LAST-MODIFIED:20260605T113215Z
UID:2340-1780668000-1780671600@www.euro-online.org
SUMMARY:Algorithmic Timetabling in Practice: Lessons from Building a Timetabling System at SBB
DESCRIPTION:Speakers: Dr. Gabrio Caimi and M.Sc. Florian Flükiger\, Swiss Federal Railways \nAbout the event: \nAlgorithmic timetabling has been an active area of research for decades\, yet deploying optimization-based timetabling tools in real-world railway operations reveals a striking gap between academic assumptions and operational reality. In this talk\, we present insights from the development and application of an algorithmic timetabling tool embedded in SBB’s Traffic Management System. We discuss three key divergences from classical problem formulations: first\, that operational timetables need not be conflict-free — conflicts are an accepted and manageable reality\, and the objective is to minimize their impact rather than eliminate them; second\, that objective functions must go far beyond simple travel-time minimization\, incorporating a rich set of planner-driven quality criteria; and third\, that timetabling is not a one-shot optimization problem but a continuous\, iterative process requiring repeated updates as conditions evolve. Together\, these observations motivate a rethinking of how algorithmic approaches are designed and evaluated for practical deployment. \nAbout the speakers: \nDr. Gabrio Caimi holds a doctorate (Dr. sc. ETH\, 2009) in Mathematics with a focus on Operations Research from ETH Zurich. He worked at ETH Zurich (2000–2009) on public-transport projects and publications\, then moved to industry with senior roles in project and portfolio management at BLS Netz AG\, focusing on infrastructure planning and capacity in an international context. Since 2015 he has been with SBB IT\, responsible for strategic development of digital solutions for railway operations. He is an expert in strategic planning\, timetable design\, and applying Operations Research to optimize complex rail systems\, combining academic expertise with practical application. \nM.Sc. Florian Flükiger is an Application Engineer at SBB (Swiss Federal Railways)\, where he works on the Traffic Management System as part of the team developing the timetabling core. In parallel\, he is a PhD student at the Institute for Transport Planning and Systems (IVT) at ETH Zurich in the group of Prof. Francesco Corman. He holds an M.Sc. in Spatial Development and Infrastructure Systems from ETH Zurich\, with a thesis on the integration of resilience in the railway planning process\, co-supervised by ETH Zurich and TU Delft. His research focuses on integrated planning of railway systems\, with particular emphasis on integrated periodic timetabling\, and vehicle scheduling. \nEURO Practitioners’ Forum past and planned activities are available to the Forum members\, as well as the wider public. \nRegister as a member for free\, to get the regular updates on all activities: EPF Member registration page. The recordings and details from previous webinars are also available on this website. Follow the Forum LinkedIN group and LinkedIN page\, and feel free to get in touch.
URL:https://www.euro-online.org/websites/or-in-practice/event/algorithmic-timetabling-in-practice-lessons-from-building-a-timetabling-system-at-sbb/
END:VEVENT
END:VCALENDAR