Postgraduate Diploma in OEE KPIs and Production What-If Analysis
Online 800-hour Postgraduate Diploma in OEE KPIs and Production What-If Analysis. 8 modules covering ISO 22400-1:2014, ISO 22400-2:2014 and Siemens Plant Simulation. Dedicated tutor and open enrolment.
Postgraduate Diploma in OEE KPIs and Production What-If Analysis — studying from the United Kingdom
Robotics and automation are growing across the United Kingdom, from manufacturing and logistics to healthcare and research. Universities including Bristol, Oxford, Imperial College London and Edinburgh host robotics research, while the Robotics and Autonomous Systems hub and the Advanced Robotics Hub support collaboration with industry. Manufacturers, logistics operators and automation integrators employ engineers in control systems, sensing, programming and systems integration. Safety standards for collaborative robots shape deployment across industries.
Fees for the United Kingdom: £1,070 (Pound sterling), with instalments and employer sponsorship available.
Relevant bodies in the United Kingdom
Typical roles
Questions from the United Kingdom
Which UK bodies recognise robotics and control engineering, and how does SEIUM's training fit?
The Institution of Engineering and Technology and the Institution of Mechanical Engineers are the main UK professional bodies for control and automation engineers. Chartered status is awarded through the Engineering Council via accredited routes. SEIUM's private qualifications are not accredited by any national body, so any recognition by these institutions is their own decision.
Will UK robotics and automation employers value a private online qualification?
UK robotics and automation employers usually weigh practical projects, programming skills and relevant experience heavily. A private qualification can support your CV where it reflects applied control or robotics work, particularly a strong final project. Employers decide how much value to attach to it, so tailor your application to their stated requirements.
Can I balance this with a UK job, and is there support in English?
Yes. The programmes are 100% online, taught in English, and you are assigned a technical tutor for support. Study ranges from 300 to 1,900 hours, so plan your schedule accordingly. Fees are payable in instalments, and employer sponsorship is possible. No student visa is required because you study from within the UK.
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
Calculate OEE and its components in accordance with ISO 22400.
Automatically capture machine states and counters.
Analyse losses using Pareto charts and waterfall diagrams.
Design action-oriented production dashboards.
Build discrete event simulation models of production lines.
Evaluate what-if scenarios for capacity and buffers.
Develop data-driven continuous improvement plans.
Who it's for
- Production process engineer looking to specialise in OEE KPIs and Production What-If Analysis.
- Industrial operations analyst looking to specialise in OEE KPIs and Production What-If Analysis.
- Continuous improvement manager looking to specialise in OEE KPIs and Production What-If Analysis.
- Process simulation engineer looking to specialise in OEE KPIs and Production What-If Analysis.
- Lean Manufacturing consultant looking to specialise in OEE KPIs and Production What-If Analysis.
- Production manager looking to specialise in OEE KPIs and Production What-If Analysis.
- Engineering or science graduates seeking to enter the automotive sector.
What you'll work with
- ISO 22400-1:2014
- ISO 22400-2:2014
- ANSI/ISA-TR88.00.02-2022 PackML
- ISA-95 (IEC 62264)
- IEC 62541
- ISO 50001:2018
- VDI 3633
8 modules · 800 h
1.1Origin of OEE in TPM1.2Availability, performance and quality1.3The six big losses1.4Planned time and ideal cycle time1.5Differences between OEE, TEEP and OOE1.6Definitions in ISO 22400-21.7Common calculation errors1.8Benchmarks and world-class values1.9Using OEE for decision-making1.10Practical case: calculating OEE for a packaging line
2.1Machine signals for states and counters2.2PackML state model2.3Classification of stop causes2.4Micro-stops and speed losses2.5Recording rejects and rework2.6PLC integration via OPC UA2.7Manual versus automatic entry2.8Data quality and validation2.9MES systems and OEE modules2.10Laboratory: capturing PackML states from a PLC
3.1Loss waterfall diagrams3.2Pareto of stop causes3.3Analysis by shift, product and equipment3.4Mean time between failures and to repair3.5Changeovers and SMED3.6Bottleneck analysis3.7Cycle time variability3.8Quality and start-up losses3.9Complementary maintenance indicators3.10Practice: Pareto and loss waterfall with real data
4.1ISO 22400 KPIs for operations4.2Plant indicator hierarchy4.3Dashboard design in Power BI and Grafana4.4Visual management on the shop floor4.5Andon and real-time alerts4.6Data-driven shift meetings4.7Targets and thresholds4.8Leading and lagging indicators4.9Dashboard design errors4.10Workshop: OEE dashboard by line and shift
5.1Fundamentals of discrete event simulation5.2Modelling lines, buffers and resources5.3Failure and repair time distributions5.4Input data and statistical fitting5.5Model verification and validation5.6Warm-up period and replications5.7FlexSim, Plant Simulation and AnyLogic tools5.8Animation and communicating results5.9Model limitations5.10Laboratory: line model with random failures
6.1Designing alternative scenarios6.2Buffer sizing6.3Impact of availability improvements6.4Changes in product mix6.5Shifts and staffing6.6Investment in additional equipment6.7Experimental design with simulation6.8Optimisation with OptQuest and algorithms6.9Economic analysis of alternatives6.10Practical case: what-if analysis to increase capacity by 15 %
7.1PDCA cycle and kaizen7.2Deploying OEE targets7.3Improvement teams and autonomous TPM7.4Planned and predictive maintenance7.5Lean Six Sigma projects7.6Action tracking7.7Sustaining improvements7.8Link with energy efficiency7.9Data culture on the shop floor7.10Practice: improvement plan with measurable targets
8.1Line description and scope8.2Data model and capture8.3OEE calculation and analysis8.4Proposed dashboard8.5Line simulation model8.6What-if scenarios evaluated8.7Improvement plan and return8.8Critical analysis of results8.9Report and presentation8.10Final review with the tutor
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and a dedicated technical tutor. There are 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 Siemens Plant Simulation, FlexSim, AnyLogic, Power BI, Grafana, in free, academic or evaluation versions. Practical work covers real OEE calculation procedures using real machine data, simulation of line capacity scenarios, and design of production dashboards. Assessment is continuous per module, plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Calculate OEE and its components in accordance with ISO 22400.
Automatically capture machine states and counters.
Analyse losses using Pareto charts and waterfall diagrams.
Design action-oriented production dashboards.
Build discrete event simulation models of production lines.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient English 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 comprises 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.
You will work with Siemens Plant Simulation, FlexSim, AnyLogic, Power BI and Grafana. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM diploma upon passing the continuous assessment and the final integrating project. It is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised towards the advanced programme. Please check the recognition policy when enrolling.
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