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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.

Duration800 h
ModeOnline
AwardSEIUM Institute diploma
Enrol now View syllabus Ask an advisor

Postgraduate Diploma in OEE KPIs and Production What-If Analysis — studying from India

India's automation and robotics market is growing with the expansion of manufacturing, automotive and electronics production. Industrial automation firms such as ABB, Siemens, Fanuc and Bosch operate in the country, alongside domestic integrators and start-ups in Bengaluru, Pune, Chennai and Hyderabad. Research institutions including the Indian Institute of Science and several IITs contribute to robotics and control research. Standards for industrial machinery and safety draw on the Bureau of Indian Standards. Engineers in this area design control systems, robotic cells, automation solutions and programmable logic controllers for factories and warehouses.

Fees for India: ₹137,000 (Indian Rupee), with instalments and employer sponsorship available.

Relevant bodies in India

  • Bureau of Indian Standards (BIS)
  • Indian Institute of Science (IISc)
  • Indian Institute of Technology (IIT) robotics research groups
  • Automation and Robotics Industry associations

Typical roles

  • Robotics Engineer
  • Control Systems Engineer
  • Automation Engineer
  • PLC Programmer

Questions from India

Is there a professional body in India that recognises robotics and automation engineers?

Robotics in India has no separate statutory title. The Institution of Engineers (India) is the main general engineering body, and technical standards come from the Bureau of Indian Standards. SEIUM's qualification is private and not accredited by any national body, so recognition rests with employers and the relevant body.

Which employers in India hire robotics and automation engineers?

Automotive plants, electronics manufacturers, factory automation suppliers, logistics firms, and robotics startups are typical employers. Hiring focuses on skills and project experience. The qualification can support a profile, but employers decide how much it counts and no outcome is guaranteed.

Can I study robotics online from India while working, and what language?

Yes, the programme is 100% online, so you can study from anywhere in India without a student visa and fit it around work. It is taught in English, so you need a reasonable level of the language. Each student has an assigned technical tutor, fees can be paid in instalments, and employer sponsorship is possible.

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Learning outcomes

What you will be able to do

01

Calculate OEE and its components in accordance with ISO 22400.

02

Automatically capture machine states and counters.

03

Analyse losses using Pareto charts and waterfall diagrams.

04

Design action-oriented production dashboards.

05

Build discrete event simulation models of production lines.

06

Evaluate what-if scenarios for capacity and buffers.

07

Develop data-driven continuous improvement plans.

Profile

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.
Standards & tools

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
Syllabus

8 modules · 800 h

  1. 1.1Origin of OEE in TPM
  2. 1.2Availability, performance and quality
  3. 1.3The six big losses
  4. 1.4Planned time and ideal cycle time
  5. 1.5Differences between OEE, TEEP and OOE
  6. 1.6Definitions in ISO 22400-2
  7. 1.7Common calculation errors
  8. 1.8Benchmarks and world-class values
  9. 1.9Using OEE for decision-making
  10. 1.10Practical case: calculating OEE for a packaging line
  1. 2.1Machine signals for states and counters
  2. 2.2PackML state model
  3. 2.3Classification of stop causes
  4. 2.4Micro-stops and speed losses
  5. 2.5Recording rejects and rework
  6. 2.6PLC integration via OPC UA
  7. 2.7Manual versus automatic entry
  8. 2.8Data quality and validation
  9. 2.9MES systems and OEE modules
  10. 2.10Laboratory: capturing PackML states from a PLC
  1. 3.1Loss waterfall diagrams
  2. 3.2Pareto of stop causes
  3. 3.3Analysis by shift, product and equipment
  4. 3.4Mean time between failures and to repair
  5. 3.5Changeovers and SMED
  6. 3.6Bottleneck analysis
  7. 3.7Cycle time variability
  8. 3.8Quality and start-up losses
  9. 3.9Complementary maintenance indicators
  10. 3.10Practice: Pareto and loss waterfall with real data
  1. 4.1ISO 22400 KPIs for operations
  2. 4.2Plant indicator hierarchy
  3. 4.3Dashboard design in Power BI and Grafana
  4. 4.4Visual management on the shop floor
  5. 4.5Andon and real-time alerts
  6. 4.6Data-driven shift meetings
  7. 4.7Targets and thresholds
  8. 4.8Leading and lagging indicators
  9. 4.9Dashboard design errors
  10. 4.10Workshop: OEE dashboard by line and shift
  1. 5.1Fundamentals of discrete event simulation
  2. 5.2Modelling lines, buffers and resources
  3. 5.3Failure and repair time distributions
  4. 5.4Input data and statistical fitting
  5. 5.5Model verification and validation
  6. 5.6Warm-up period and replications
  7. 5.7FlexSim, Plant Simulation and AnyLogic tools
  8. 5.8Animation and communicating results
  9. 5.9Model limitations
  10. 5.10Laboratory: line model with random failures
  1. 6.1Designing alternative scenarios
  2. 6.2Buffer sizing
  3. 6.3Impact of availability improvements
  4. 6.4Changes in product mix
  5. 6.5Shifts and staffing
  6. 6.6Investment in additional equipment
  7. 6.7Experimental design with simulation
  8. 6.8Optimisation with OptQuest and algorithms
  9. 6.9Economic analysis of alternatives
  10. 6.10Practical case: what-if analysis to increase capacity by 15 %
  1. 7.1PDCA cycle and kaizen
  2. 7.2Deploying OEE targets
  3. 7.3Improvement teams and autonomous TPM
  4. 7.4Planned and predictive maintenance
  5. 7.5Lean Six Sigma projects
  6. 7.6Action tracking
  7. 7.7Sustaining improvements
  8. 7.8Link with energy efficiency
  9. 7.9Data culture on the shop floor
  10. 7.10Practice: improvement plan with measurable targets
  1. 8.1Line description and scope
  2. 8.2Data model and capture
  3. 8.3OEE calculation and analysis
  4. 8.4Proposed dashboard
  5. 8.5Line simulation model
  6. 8.6What-if scenarios evaluated
  7. 8.7Improvement plan and return
  8. 8.8Critical analysis of results
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

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.

Accredited laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-driven final project:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, with cyber-OT, DIH and compliance as its pillars.
Capstone project

Build it end to end

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

Line description and scope

Calculate OEE and its components in accordance with ISO 22400.

Data model and capture

Automatically capture machine states and counters.

OEE calculation and analysis

Analyse losses using Pareto charts and waterfall diagrams.

Proposed dashboard

Design action-oriented production dashboards.

Line simulation model

Build discrete event simulation models of production lines.

Career opportunities

Where this takes you

Production process engineerIndustrial operations analystContinuous improvement managerProcess simulation engineerLean Manufacturing consultantProduction manager
Admissions & scholarships

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 command of Spanish 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.

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FAQ

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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