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Master'sRobotics, Automation & Control Applications open

Master’s in Spare Parts and Life Cycle Management Engineering

Online master's programme of 1,900 hours in spare parts and lifecycle management engineering. 12 modules covering asset lifecycle, spare parts classification, intermittent demand forecasting, inventory models, repairable spares and reverse logistics, obsolescence management, supportability, warehousing, procurement, information systems and life cycle costing, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Classify spare parts by value, variability and criticality.

02

Forecast intermittent spare parts demand with specific methods.

03

Size inventories using service level models.

04

Manage repairable spares and reverse logistics.

05

Plan proactive obsolescence management.

06

Evaluate asset decisions using life cycle cost.

07

Integrate spare parts management into CMMS and ERP systems.

Profile

Who it's for

  • Logistics support engineers.
  • Spare parts managers.
  • Asset lifecycle managers.
  • Inventory analysts.
  • Obsolescence engineers.
  • Technical procurement managers.
  • Engineering or science graduates seeking to enter the automotive sector.
Standards & tools

What you'll work with

  • ISO 55000 (asset management: overview, principles and terminology)
  • IEC 60300-3-3 (life cycle costing)
  • IEC 62402 (obsolescence management)
  • ISO/IEC/IEEE 15288 (system life cycle processes)
  • IEC 60706-2 (maintainability requirements and studies)
  • ASD S2000M (international specification for material management)
  • ASD S3000L (international specification for logistics support analysis)
  • ISO 8000-1 (data quality)
  • SAP MM and PM
  • IBM Maximo
  • Python with statsmodels
  • AnyLogistix
  • Microsoft Power BI
Syllabus

12 modules · 1900 h

  1. 1.1Phases of a system lifecycle
  2. 1.2Lifecycle engineering according to ISO/IEC/IEEE 15288
  3. 1.3Life cycle cost and its breakdown
  4. 1.4Integrated logistics support
  5. 1.5Obsolescence as a lifecycle risk
  6. 1.6End of life, decommissioning and recycling
  7. 1.7Relationship between design and supportability
  8. 1.8Asset management according to ISO 55000
  9. 1.9Lifecycle of automated equipment
  10. 1.10Case study: cost profile of a robotic line
  1. 2.1Taxonomy of spare parts and consumables
  2. 2.2Material coding and cataloguing
  3. 2.3Material master data
  4. 2.4ABC analysis by value and XYZ by variability
  5. 2.5VED criticality analysis
  6. 2.6Strategic and capitalisable spares
  7. 2.7Interchangeability and equivalents
  8. 2.8Catalogue cleansing and deduplication
  9. 2.9Standardisation with ISO 8000
  10. 2.10Workshop: multi-criteria classification of a storeroom
  1. 3.1Characteristics of intermittent demand
  2. 3.2Croston and SBA methods
  3. 3.3The TSB method and variants
  4. 3.4Forecasting based on reliability and installed base
  5. 3.5Demand derived from the maintenance plan
  6. 3.6Error metrics for intermittent demand
  7. 3.7Demand bootstrapping
  8. 3.8Machine learning in spare parts forecasting
  9. 3.9Forecasting new components with no history
  10. 3.10Lab: comparing Croston and TSB
  1. 4.1Continuous and periodic review policies
  2. 4.2The (s, S) model and reorder point
  3. 4.3Service level and fill rate
  4. 4.4Safety stock with Poisson demand
  5. 4.5The METRIC model for repairable spares
  6. 4.6Multi-echelon inventory systems
  7. 4.7Inventory of slow-moving parts
  8. 4.8Stock-out cost versus holding cost
  9. 4.9Inventory optimisation by criticality
  10. 4.10Practical exercise: sizing the stock of critical spares
  1. 5.1Repair cycle of rotables
  2. 5.2Repair times and pipeline
  3. 5.3In-house versus external repair shops
  4. 5.4Reverse logistics and returns
  5. 5.5Core and warranty management
  6. 5.6Refurbishment and remanufacturing
  7. 5.7Serial-number traceability
  8. 5.8Repair shop indicators
  9. 5.9Circular economy in spare parts
  10. 5.10Case study: pool of repairable motors
  1. 6.1Types of obsolescence and their causes
  2. 6.2Proactive management according to IEC 62402
  3. 6.3Component monitoring and end-of-life notices
  4. 6.4Strategies: last-time buy, alternatives and redesign
  5. 6.5Obsolescence of electronics and PLCs
  6. 6.6Software and firmware obsolescence
  7. 6.7Obsolescence risk matrix
  8. 6.8Migration plans for control systems
  9. 6.9Cost of obsolescence
  10. 6.10Workshop: obsolescence plan for an automation system
  1. 7.1Reliability data for sizing spares
  2. 7.2Level of repair analysis
  3. 7.3Maintainability according to IEC 60706
  4. 7.4Maintenance task analysis
  5. 7.5Technical documentation and illustrated parts catalogues
  6. 7.6The S2000M provisioning specification
  7. 7.7The S3000L logistics support analysis specification
  8. 7.8Performance-based support
  9. 7.9Supportability indicators
  10. 7.10Practical exercise: LORA of a subsystem
  1. 8.1Design of spare parts warehouses
  2. 8.2Preservation and storage of sensitive components
  3. 8.3Shelf-life and batch management
  4. 8.4Cycle counting and accuracy
  5. 8.5Maintenance kits and picking
  6. 8.6Satellite stores and consignment
  7. 8.7Industrial vending and point-of-use stores
  8. 8.8RFID identification and codes
  9. 8.9Security and access control
  10. 8.10Case study: redesign of a maintenance storeroom
  1. 9.1Spare parts sourcing strategy
  2. 9.2Original manufacturer versus alternative sources
  3. 9.3Framework agreements and consignment
  4. 9.4Supplier evaluation
  5. 9.5Lead-time management
  6. 9.6Supply chain risk
  7. 9.7Negotiating critical spares
  8. 9.8On-demand additive manufacturing
  9. 9.9Reverse engineering and approval
  10. 9.10Workshop: Kraljic matrix for spare parts
  1. 10.1Spare parts in CMMS and ERP
  2. 10.2Maintenance bills of materials
  3. 10.3Integration with work order planning
  4. 10.4Inventory optimisation tools
  5. 10.5Master data management
  6. 10.6Inventory dashboards
  7. 10.7Artificial intelligence in spare parts planning
  8. 10.8Digital twin of the spare parts chain
  9. 10.9Data quality and governance
  10. 10.10Practical exercise: inventory analysis with Python
  1. 11.1Life cycle cost models according to IEC 60300-3-3
  2. 11.2Total cost of ownership
  3. 11.3Repair, refurbish or replace decisions
  4. 11.4Investment analysis and net present value
  5. 11.5Uncertainty and sensitivity analysis
  6. 11.6Life extension and retrofit
  7. 11.7Sustainability and footprint criteria
  8. 11.8Decision report for management
  9. 11.9Financial risk of ageing assets
  10. 11.10Case study: retrofit versus replacement of a cell
  1. 12.1Definition of scope and assets
  2. 12.2Diagnosis of the current situation
  3. 12.3Classification and data analysis
  4. 12.4Forecasting and stock model
  5. 12.5Obsolescence plan
  6. 12.6Life cycle cost analysis
  7. 12.7Improvement and savings proposal
  8. 12.8Implementation plan
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: you progress at your own pace within the intake, making it compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is SAP MM and PM, IBM Maximo, Python with statsmodels, AnyLogistix and Microsoft Power BI, in free, academic or evaluation versions. Exercises are based on real procedures for optimising the stock of critical spares, obsolescence management plans in automation and life cycle cost analysis of equipment. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: ISO 55000, IEC 60300-3-3, IEC 62402, ISO/IEC/IEEE 15288, IEC 60706-2, ASD S2000M, ASD S3000L, ISO 8000-1.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 55000, IEC 60300-3-3 and IEC 62402 applied to real cases, not as a theoretical annex.
Industry software:SAP MM and PM, IBM Maximo, Python with statsmodels, AnyLogistix and Microsoft Power BI, in free, academic or evaluation versions.
Master's Thesis with defence:A spare parts and lifecycle improvement proposal for real assets, with forecasting, stock, obsolescence and life cycle cost models, defended before a panel.
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.

Scope and diagnosis
Define the scope and assets and diagnose the current situation.
Classification and data
Classify the spare parts and analyse their data.
Forecasting and stock
Build the forecasting and stock sizing model.
Obsolescence and LCC
Draw up the obsolescence plan and the life cycle cost analysis.
Master's Thesis
Present the improvement, savings and implementation plan in a thesis, defended before a panel.
Career opportunities

Where this takes you

Logistics support engineerSpare parts managerAsset lifecycle managerInventory analystObsolescence engineerTechnical procurement manager
Admissions & scholarships

Requirements

  • University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • 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.

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FAQ

Frequently asked questions

The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with SAP MM and PM, IBM Maximo, Python with statsmodels, AnyLogistix and Microsoft Power BI, 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 Master's Thesis. 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 in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.

A university degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the 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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