An Optimization Perspective
MSc course · 5 EC · 2026–2027
Learn to turn warehouse flows and operational data into defensible decisions about networks, storage, layout, automation, and order picking.
Warehouses connect supply with demand, but every square metre, movement, buffer, and technology choice creates a trade-off. This course combines systems thinking with quantitative models so that you can diagnose performance, compare designs, and justify an improvement plan.
5 EC 140 hours of study
8 teaching weeks Weeks 36–43 of 2026
Five coursework milestones One real warehouse · teams of three
50% + 50% Coursework and final exam
01/08
Diagnose
Warehouse Operations and Performance Diagnosis
Turn warehouse flows and operating data into an evidence-based performance diagnosis.
AssignmentMilestone 1: Activity Profiling starts · Q&A
Explore module 1: Warehouse Operations and Performance Diagnosis
02/08
Network design
Distribution Network Design and Facility Location
Distribution network structures, inventory positioning, facility location, and demand allocation under cost and service requirements.
AssignmentAssignment 1: Activity Profiling · Q&A
Explore module 2: Distribution Network Design and Facility Location| Course week | Monday anchor | Focus |
|---|---|---|
| 1 (W36) | 31 August | Warehouse Operations and Performance Diagnosis |
| 2 (W37) | 7 September | Distribution Network Design and Facility Location |
| 3 (W38) | 14 September | Storage Systems, Policies, and Storage Location Assignment |
| 4 (W39) | 21 September | Storage Space Requirements, Forward-Reserve Allocation, and Replenishment |
| 5 (W40) | 28 September | Warehouse Sizing, Layout, and Material-Handling System Design |
| 6 (W41) | 5 October | Order-Picking System Design and Control |
| 7 (W42) | 12 October | Robotized and Automated Warehouse Systems |
| 8 (W43) | 19 October | Integrated Warehouse Design and Performance Evaluation |
| 9 (W44) | 26 October | Examination |
The syllabus summarizes the course structure. TimeEdit has the current appointments, times, and rooms.
A warehouse is a coordinated operating system. Its network position, demand, storage policy, layout, equipment, people, and information determine one another.
The central question is “Which design and control decisions produce the required service with a rational use of space, capacity, time, and cost?”
01
Explain the role, functions, flows, planning levels, and technology choices that shape contemporary warehouses.
02
Use operational data, activity profiles, costs, and performance indicators to identify constraints and improvement opportunities.
03
Evaluate distribution-network trade-offs and formulate quantitative warehouse-location decisions.
04
Compare storage policies and systems, estimate space requirements, and optimize storage allocation and facility layouts.
05
Reason about picking systems, routing, batching, zoning, travel time, and the operational consequences of automation.
06
Combine models, evidence, assumptions, and implementation constraints into a clear and critically evaluated improvement proposal.
Step 1
Identify the operational objective, relevant system boundary, data, constraints, and trade-offs before selecting a method.
Step 2
Use activity analysis and quantitative models to make alternatives explicit and test the consequences of assumptions.
Step 3
Translate results into a practical recommendation, critique its limitations, and improve it using feedback and operational knowledge.
Enrolled University of Twente students should use Canvas for announcements, submission routes, grades, and current course communication. TimeEdit remains authoritative for dates, rooms, and appointments.