Postgraduate Diploma in Efficient Maintenance and Replenishment
Online 800 h postgraduate diploma in Efficient Maintenance and Replenishment. 8 modules with UNE-EN 13306:2018, UNE-EN 15341:2019 and IBM Maximo. Assigned tutor and open enrolment.
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Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Organise the maintenance function using standardised terminology and processes.
Select maintenance strategies according to the criticality of components.
Plan and schedule work orders in a fleet workshop.
Classify spare parts and forecast their demand, including intermittent demand.
Calculate safety stocks, reorder points and replenishment policies.
Measure performance using standardised maintenance indicators.
Implement digital maintenance management tools.
Who it's for
- Fleet maintenance manager looking to specialise in Efficient Maintenance and Replenishment.
- Maintenance planner looking to specialise in Efficient Maintenance and Replenishment.
- Spare parts warehouse manager looking to specialise in Efficient Maintenance and Replenishment.
- Inventory analyst looking to specialise in Efficient Maintenance and Replenishment.
- CMMS technician looking to specialise in Efficient Maintenance and Replenishment.
- Spare parts purchasing manager looking to specialise in Efficient Maintenance and Replenishment.
- Graduates in engineering or sciences seeking to enter delivery fleets and public services.
What you'll work with
- UNE-EN 13306:2018
- UNE-EN 15341:2019
- ISO 55001:2024
- UNE-EN 17007:2018
- SAE JA1011:2009
- UNE-EN 16646:2015
- ISO 9001:2015
8 modules · 800 h
1.1Terminology according to EN 133061.2Maintenance processes according to EN 170071.3Asset management with ISO 550011.4Department structure1.5Manufacturer maintenance plans1.6Particularities of motorcycle and scooter fleets1.7Direct and indirect costs1.8Indicators according to EN 153411.9Computerised maintenance management systems (CMMS)1.10Case study: maintenance diagnosis of a delivery fleet
2.1Preventive maintenance by time and mileage2.2Condition-based maintenance2.3Reliability-centred maintenance2.4Criticality analysis of components2.5Total productive maintenance2.6Interval optimisation2.7Opportunistic maintenance during stops2.8Outsourcing versus in-house workshop2.9Maintenance of electric vehicles2.10Practice: criticality of components of a delivery motorcycle
3.1Work orders and priorities3.2Weekly workshop planning3.3Duration estimation3.4Preparation of parts kits3.5Scheduling with resource constraints3.6Management of the backlog3.7Coordination with operations3.8Planned vehicle downtime3.9Documentation of interventions3.10Workshop: weekly scheduling of a fleet workshop
4.1ABC and XYZ classification4.2Consumable, wear and critical parts4.3Characterisation of intermittent demand4.4Forecasting with Croston and SBA methods4.5Safety stock and service level4.6Reorder point and economic order quantity4.7(s,S) policies and periodic review4.8Low-turnover spare parts4.9Obsolescence of part numbers4.10Practice: intermittent demand forecasting with Python
5.1Replenishment from a distribution centre5.2Vendor-managed inventory5.3Multi-echelon inventory management5.4Lead times and variability5.5Spare parts kanban5.6Purchasing and framework agreements5.7Urgent parts distribution5.8Returns and warranties5.9Integration with the ERP5.10Case study: replenishment in a network of workshops
6.1Availability, MTBF and MTTR6.2Maintenance cost per kilometre6.3Stock turnover and cover6.4Service rate and stockouts6.5Failure Pareto analysis6.6Root cause analysis6.7Lean in the workshop: 5S and SMED6.8Benchmarking against sector references6.9Balanced scorecard6.10Workshop: maintenance dashboard in Excel
7.1Cloud-based CMMS7.2Mobile applications for technicians7.3Barcodes and RFID7.4Telemetry and automatic alerts7.5Basic predictive maintenance7.6Digital twin of the fleet7.7Data integration between systems7.8Cybersecurity of workshop systems7.9Change management7.10Case study: implementation of a CMMS
8.1Diagnosis of the initial situation8.2Criticality analysis8.3Maintenance plan8.4Inventory policy8.5Replenishment model8.6Indicators and dashboard8.7Economic analysis of the proposal8.8Implementation plan8.9Report and presentation8.10Final review with the tutor
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is IBM Maximo, SAP S/4HANA, Python (statsmodels), Microsoft Excel, in free, academic or evaluation versions. Practical work is based on real procedures for criticality analysis of components of a delivery motorcycle, intermittent spare parts demand forecasting, and weekly scheduling of a fleet workshop. Assessment is continuous by module plus a final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Organise the maintenance function using standardised terminology and processes.
Select maintenance strategies according to the criticality of components.
Plan and schedule work orders in a fleet workshop.
Classify spare parts and forecast their demand, including intermittent demand.
Calculate safety stocks, reorder points and replenishment policies.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. No university degree is required.
- Internet connection and a computer capable of running the programme's software.
- Spanish language proficiency sufficient to follow technical standards documentation.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme consists of 800 hours in total, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
The programme uses IBM Maximo, SAP S/4HANA, Python (statsmodels), Microsoft Excel. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An own diploma from SEIUM Institute upon passing the continuous assessment and the integrative project. It is in-house training, not an official title from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Check the recognition policy when you enrol.
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