Program
Day 1 : 06/05/2025
Stefan Rusu, Deloitte
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”
Kenneth Olughu, PWC
- 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)
Day 2 : 13/05/2025
Jan De Kimpe, PICS Belgium, Logisol Pro, ART4L, KULeuven
- 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
Luc Forceville, Logflow
- Warehouse design basics
- Principles and rules
- Data and process modeling
- Working on warehouse lay-out
- Case study work: presentation and participant application and presentation
Day 3 : 20/05/2025
Simon Popelier, Logflow
- 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
Joël Wyns, Moore
- Warehousing software
- WMS
- WCS, WES and the interaction with MES
- Interaction with IOT (data collection, data check, positioning,…)
Day 4 : 27/05/2025
Jan De Kimpe, PICS Belgium, Logisol Pro, ART4L, KULeuven
- Warehouse implementation considerations
- Warehouse implementation road map and go-live strategies, including warehouse setup checklist
- RFP composition and proposal evaluation
- SLA definition
Stefan Rusu, Deloitte
- “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