Diploma in Scrap Reduction and OEE Improvement
Online postgraduate diploma of 800 hours in scrap reduction and OEE improvement. 8 modules covering ISO 22400-2, IATF 16949:2016 and ISO 9001:2015, with Minitab, Power BI and Siemens Plant Simulation, with an assigned technical tutor.
Take the controls.
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
Measure OEE and its associated losses correctly.
Automate the capture of stoppages, cycles and scrap.
Analyse the root cause of defects with structured tools.
Apply the pillars of TPM to improve availability.
Reduce minor stops and speed losses on production lines.
Build quality at the source with poka-yoke and jidoka.
Sustain improvement through daily performance management.
Who it's for
- Continuous improvement engineers leading loss-reduction projects.
- Production managers accountable for line output and scrap.
- Process engineers who want a structured approach to defects and stoppages.
- Quality engineers working on 8D and PFMEA.
- TPM coordinators.
- Line leaders and shift supervisors.
- Engineering or science graduates aiming to enter the automotive sector.
What you'll work with
- ISO 22400-2 (KPIs for manufacturing operations management)
- IATF 16949:2016 (automotive quality management)
- ISO 9001:2015 (quality management systems)
- AIAG-VDA FMEA Handbook
- VDA 6.3 (process audit)
- ISO 13053-1 (Six Sigma: DMAIC methodology)
- Minitab
- Power BI
- Siemens Plant Simulation
- MES stoppage-capture systems
- Microsoft Excel
8 modules
1.1The six big losses of TPM1.2Calculating availability, performance and quality1.3OEE, TEEP and OOE: the differences1.4Ideal cycle time and how to determine it1.5Minor stops and speed losses1.6Scrap, rework and start-up losses1.7Cost of poor quality1.8OEE benchmarks by sector1.9Common mistakes when measuring OEE1.10Workshop: OEE calculation for a real line
2.1Machine signals for stops and cycles2.2Classification of stoppage reasons2.3Standardised loss tree2.4Integration with PLC and MES2.5Logging scrap by defect and cause2.6Data quality and validation2.7Real-time visualisation on the shop floor2.8ISO 22400 standards for manufacturing KPIs2.9Automated Pareto analysis2.10Lab: stoppage tree with PLC data
3.1Stratification by shift, machine and material3.2Ishikawa diagrams and 5 Whys3.3Process failure mode analysis (PFMEA)3.4Correlation between parameters and defects3.5Decision trees for defects3.6Analysis of start-up defects3.7Raw material and supplier variation3.88D problem-solving methodology3.9Root cause validation3.10Case study: 8D for an injection moulding defect
4.1The pillars of TPM4.2Autonomous maintenance in seven steps4.3Cleaning, inspection and lubrication (CIL)4.4Planned maintenance and MTBF4.5Focused improvement (Kobetsu Kaizen)4.6Restoring basic conditions4.7Tag and abnormality management4.8MTBF and MTTR indicators4.9Audits and certification of TPM steps4.10Practical: CIL standard for a machine
5.1Video analysis of minor stops5.2Optimising start-ups and changeovers5.3Bottlenecks and theory of constraints5.4Speed balancing along the line5.5Buffers and accumulation between machines5.6Tuning speed parameters5.7Reliability of feeders and conveyors5.8Automatic detection of speed losses5.9Discrete-event line simulation5.10Lab: buffer simulation on a line
6.1Poka-yoke and error-proofing devices6.2Operator self-inspection6.3In-line statistical control6.4Machine vision for inspection6.5First-piece and start-up release6.6Jidoka and stopping on defect6.7Management of critical parameters6.8Automatic rejection and traceability6.9Reducing rework6.10Case study: poka-yoke at an assembly station
7.1Daily production meetings7.2Visual management boards7.3Tiered problem escalation7.4Tracking corrective actions7.5OEE targets and KPI cascade7.6Improvement kata and coaching7.7Sustaining improvements7.8Financial quantification of savings7.9Reporting to management7.10Workshop: daily management board for a line
8.1OEE and scrap baseline8.2Loss tree for the line8.3Selecting priority losses8.4Root cause analysis8.5Countermeasures and implementation8.6Measuring results8.7Standardisation and control8.8Financial valuation of savings8.9Report and presentation8.10Final project: final review with the tutor
How you'll learn
Training is 100% online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so the programme fits around your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Minitab, Power BI, Siemens Plant Simulation, MES stoppage-capture systems and Microsoft Excel, in free, academic or evaluation versions. Testing is studied through real procedures: automatic measurement of stoppages and line speed, 8D analysis of manufacturing defects, and simulation of buffers and bottlenecks. Assessment is continuous by module, plus the final project.
Standards covered: ISO 22400-2, IATF 16949:2016, ISO 9001:2015, AIAG-VDA FMEA Handbook, VDA 6.3 and ISO 13053-1.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
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.
- 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.
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 Minitab, Power BI, Siemens Plant Simulation, MES stoppage-capture systems and Microsoft Excel, 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 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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