Program
Day 1 : 28/04/2026
Introduction to the course
- “Warehouse Automation Hardware Systems” – state-of-the-art and Industry 4.0 applications
- Technology and Automation Trends
- Case study #1: Goods-to-person (GTP) systems – “The 1.000.000 different SKU e-commerce DC”
Case study #2: Lights-off warehousing via I4.0: IOT and robotics – “The first 3PL lights-off warehouse”
Stefan Rusu, Deloitte
Strategic decisions around warehousing
- Strategic fit in the overall supply chain and decisions around 3PL versus insourced, green- versus brownfield, manual versus (partially) automated,…)
- Working on the business case (Capex versus Opex, ROI, NPV, IRR,…)
- Business continuity planning (BCP) and Disaster Recovery Planning (DRP)
Kenneth Olughu, PWC
Day 2 : 05/05/2026
Evaluating the warehouse performance
- KPI’s and reporting
- Warehouse costing, Activity Base Costing in the warehouse
Improving the warehouse performance
- Lean Warehousing and continuous improvement
- Warehouse physics highlights
Jan De Kimpe, PICS Belgium, Logisol Pro, ART4L, KULeuven
Warehouse design basics
- Principles and rules
- Data and process modeling
- Working on warehouse lay-out
- Case study work: presentation and participant application and presentation
Luc Forceville, Logflow
Day 3 : 12/05/2026
How to decide on which automation and IT support ?
- WMS/WCS/WES in practice
- Linked to automation and hybrid systems
- When to deploy which type of automation
Simon Popelier, Logflow
Warehousing software
- WMS
- WCS, WES and the interaction with MES
- Interaction with IOT (data collection, data check, positioning,…
Joël Wyns, Moore
Day 4: 19/05/2026
Warehouse implementation considerations
- Warehouse implementation road map and go-live strategies, including warehouse setup checklist
- RFP composition and proposal evaluation
- SLA definition
Jan De Kimpe, PICS Belgium, Logisol Pro, ART4L, KULeuven
“Warehouse Automation Hardware Systems” – the full picture for today and tomorrow
- Technology & Automation Systems – broad ecosystem overview
- Key Automation Design principles
- Digital/Data: Digital Twins and Machine learning paving the way to Logistics 2050
Stefan Rusu, Deloitte