Postgraduate DiplomaRobotics, Automation & Control Applications open

Diploma in Automated Fulfillment and Slotting

Online postgraduate diploma of 800 hours in automated fulfilment and slotting: 8 modules covering fulfilment operations, logistics data analysis, slotting, automation technologies, warehouse control software, simulation and facility design, safety and people, and a final project, with an assigned technical tutor.

Duration6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma

Diploma in Automated Fulfillment and Slotting — studying from Canada

Canada has a notable robotics and automation sector, with research leadership at institutions such as McGill University, the University of Toronto and the University of Waterloo. Industrial automation firms and integrators serve manufacturing, automotive and resource industries across Ontario, Québec and Alberta. The Canadian Space Agency's robotic systems contribute to space robotics expertise. Engineers work on control systems, industrial robots, mechatronics and automation integration.

Fees for Canada: C$1,700 (Canadian dollar), with instalments and employer sponsorship available.

Relevant bodies in Canada

  • Robotics Council of Canada
  • Canadian Standards Association (CSA Group)
  • Automation Canada
  • Institute of Electrical and Electronics Engineers Canada (IEEE Canada)

Typical roles

  • Robotics Engineer
  • Controls Engineer
  • Automation Engineer
  • Mechatronics Engineer

Questions from Canada

Is this programme recognised by professional bodies in Canada for robotics and control engineering?

SEIUM's qualifications are private, not official state degrees, and are not accredited by any national body in Canada. Professional engineering titles are regulated provincially, for example by Professional Engineers Ontario, and engineering graduates in Canada typically pursue licensure through these bodies. Recognition of a private qualification is decided by employers or the relevant body.

Where could this qualification help in Canada's robotics and automation job market?

Canadian employers in manufacturing, logistics, aerospace, mining and automation integration may hire for robotics and control skills. Whether they value a private qualification is their decision, and many also weigh portfolios, experience and recognised credentials. The final project can demonstrate applied ability, though it does not guarantee any job.

How can I study this while working full time in Canada?

The programme is entirely online and taught in English, so you can study from home across Canadian time zones, and no student visa is needed. Choose from 300-hour specialist courses, 800-hour postgraduate diplomas or 1,900-hour master's programmes. Fees are payable in instalments, employer sponsorship is possible, and you receive an assigned technical tutor.

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Learning outcomes

What you will be able to do

01

Analyse fulfilment operations and their service indicators.

02

Profile orders and SKUs using ABC-XYZ analysis.

03

Optimise slotting according to turnover, cube and affinity.

04

Select automation technologies suited to the demand profile.

05

Configure WMS, WCS and WES logic for orchestration.

06

Simulate and size fulfilment centres for demand peaks.

07

Integrate safety and ergonomics criteria into the design.

Profile

Who it's for

  • Logistics engineers moving into automated fulfilment.
  • Warehouse automation consultants who need a solid grounding in slotting and goods-to-person technology.
  • Fulfilment operations managers responsible for service levels and peak capacity.
  • Logistics data analysts working with order profiles and SKU data.
  • Logistics simulation engineers designing distribution centres.
  • Warehouse managers preparing for an automation project.
  • Engineering or science graduates looking to enter e-commerce logistics.
Standards & tools

What you'll work with

  • Regulation (EU) 2023/1230 on machinery (EU machinery safety regulation)
  • EN 528:2021 (safety of rail-dependent storage and retrieval equipment)
  • EN 619:2022 (safety of continuous handling equipment for unit loads)
  • ISO 3691-4:2023 (safety of driverless industrial trucks and their systems)
  • ISO 11228-3:2007 (ergonomics of handling low loads at high frequency)
  • GS1 General Specifications (product and logistics unit identification and barcoding)
  • ISO 28000:2022 (security and resilience management in the supply chain)
  • Manhattan Active Warehouse Management
  • SAP Extended Warehouse Management
  • AnyLogic
  • FlexSim
  • Python with pandas
Syllabus

8 modules

  1. 1.1E-commerce supply chain
  2. 1.2Receiving, put-away, picking and shipping flows
  3. 1.3Unit orders versus pallet orders
  4. 1.4Seasonality and demand peaks
  5. 1.5Service level indicators
  6. 1.6Order picking costs
  7. 1.7Picking strategies by order, batch and zone
  8. 1.8Returns and reverse logistics
  9. 1.9Automation trends
  10. 1.10Case study: order profile of an e-commerce operator
  1. 2.1Order and order-line profiling
  2. 2.2ABC and XYZ analysis of SKUs
  3. 2.3Pareto curves of movements
  4. 2.4Cubing and product dimensions
  5. 2.5Affinity between SKUs
  6. 2.6Demand forecasting
  7. 2.7Seasonality analysis
  8. 2.8Analysis tools in Python
  9. 2.9Master data quality
  10. 2.10Lab: ABC-XYZ analysis of a real catalogue
  1. 3.1Objectives of slotting
  2. 3.2Criteria based on turnover and cube
  3. 3.3Golden zone and ergonomics
  4. 3.4Slotting by order affinity
  5. 3.5Location optimisation algorithms
  6. 3.6Dynamic re-slotting
  7. 3.7Cost of relocation moves
  8. 3.8Slotting in automated systems
  9. 3.9Slotting tools in the WMS
  10. 3.10Practical exercise: slotting of a manual picking zone
  1. 4.1Miniloads and AS/RS systems
  2. 4.2Shuttle systems
  3. 4.3AutoStore-type cube storage systems
  4. 4.4Goods-to-person stations
  5. 4.5Piece-picking robots
  6. 4.6Sorters and classification systems
  7. 4.7Put walls and pick to light
  8. 4.8Conveyors and accumulation
  9. 4.9Technology selection by profile
  10. 4.10Workshop: sizing a goods-to-person system
  1. 5.1Warehouse management system (WMS)
  2. 5.2Warehouse control system (WCS)
  3. 5.3Warehouse execution (WES) and orchestration
  4. 5.4Wave and waveless release
  5. 5.5Integration with ERP and e-commerce
  6. 5.6Interfaces with automated systems
  7. 5.7Order sequencing algorithms
  8. 5.8Real-time inventory management
  9. 5.9System security and cybersecurity
  10. 5.10Practical exercise: priority-based order release logic
  1. 6.1Layout design of fulfilment centres
  2. 6.2Discrete-event simulation
  3. 6.3Growth scenarios
  4. 6.4Peak capacity
  5. 6.5Resource sizing
  6. 6.6Bottleneck analysis
  7. 6.7Economic evaluation and return
  8. 6.8Scalability and modularity
  9. 6.9Implementation risks
  10. 6.10Case study: simulation of a Black Friday peak
  1. 7.1Safety in automated warehouse systems
  2. 7.2Applicable machinery regulations
  3. 7.3Ergonomics at picking stations
  4. 7.4Interaction with robots and vehicles
  5. 7.5Training and change management
  6. 7.6Shift work organisation
  7. 7.7Productivity and well-being
  8. 7.8Maintenance of automated systems
  9. 7.9Contingency plans
  10. 7.10Practical exercise: ergonomic assessment of a goods-to-person station
  1. 8.1Order profile analysis
  2. 8.2Slotting strategy
  3. 8.3Technology selection
  4. 8.4Layout design
  5. 8.5Software architecture
  6. 8.6Scenario simulation
  7. 8.7Economic evaluation
  8. 8.8Implementation plan
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

100% online training on the SEIUM Institute campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, which makes the programme compatible with full-time work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Manhattan Active Warehouse Management, SAP Extended Warehouse Management, AnyLogic, FlexSim and Python with pandas, in free, academic or evaluation versions. Practical work is based on real procedures: ABC-XYZ analysis and slotting of a catalogue, simulation of demand peaks in a fulfilment centre and sizing of a goods-to-person system. Assessment is continuous by module, plus the final project.

Standards covered: Regulation (EU) 2023/1230 on machinery, EN 528:2021, EN 619:2022, ISO 3691-4:2023, ISO 11228-3:2007, GS1 General Specifications, ISO 28000:2022.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Regulation (EU) 2023/1230, EN 528:2021 and EN 619:2022 applied to real cases, not as a theoretical annex.
Industry software:Manhattan Active Warehouse Management, SAP Extended Warehouse Management, AnyLogic, FlexSim and Python with pandas, in free, academic or evaluation versions.
Final project:a complete automated fulfilment design, from order profiling and slotting to technology selection, simulation and implementation plan, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Order profile analysis
Profile orders and SKUs with ABC-XYZ analysis to characterise demand.
Slotting strategy
Define location assignment by turnover, cube and order affinity.
Technology and layout
Select the automation technologies and design the fulfilment centre layout.
Simulation and economics
Simulate peak scenarios and evaluate the economic return of the solution.
Final project
Present the complete design with its implementation plan for review by your tutor.
Career opportunities

Where this takes you

Logistics engineerWarehouse automation consultantFulfilment operations managerLogistics data analystLogistics simulation engineerWarehouse manager
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • An internet connection and a computer capable of running the programme software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

FAQ

Frequently asked questions

The programme totals 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with Manhattan Active Warehouse Management, SAP Extended Warehouse Management, AnyLogic, FlexSim and Python with pandas, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

Prior technical training or professional experience in the sector (no university degree required), a computer capable of running the programme software and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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