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Postgraduate DiplomaData, AI, Simulation & Analytics Applications open

Diploma in Flow and Capacity Optimization with DT

Online postgraduate diploma of 800 hours in flow and capacity optimisation with digital twins: 8 modules covering flows and capacity in operations, digital twins for optimisation under ISO 23247, optimisation models, production scheduling, integrated simulation and optimisation, internal logistics and decision-making, with an assigned technical tutor.

Duration6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Analyse the capacity and flows of production and logistics systems.

02

Build calibrated digital twins for optimisation.

03

Formulate mathematical programming models for capacity.

04

Solve production scheduling problems.

05

Integrate simulation and optimisation to evaluate alternatives.

06

Optimise internal logistics and supply chain flows.

07

Implement twin-based recommendations in decision-making.

Profile

Who it's for

  • Operations optimisation engineers improving throughput and capacity use.
  • Digital twin engineers building prescriptive plant models.
  • Production planners responsible for capacity and scheduling.
  • Supply chain consultants redesigning logistics flows.
  • Operations research analysts applying mathematical programming to real plants.
  • Industrial engineers working on bottlenecks, balancing and layout.
  • Engineering or science graduates looking to move into manufacturing.
Standards & tools

What you'll work with

  • ISO 23247-1:2021 (digital twin framework for manufacturing)
  • ISO 22400-2:2014 (key performance indicators for manufacturing operations management)
  • IEC 62264-1:2013 (ISA-95) (enterprise-control system integration)
  • VDI 3633 Blatt 1 (simulation of logistics, material flow and production systems)
  • ISO/IEC 30173:2023 (digital twin concepts and terminology)
  • IEC 63278-1:2023 (Asset Administration Shell) (structure of the Asset Administration Shell for industrial applications)
  • ISO 9001:2015 (quality management systems)
  • Siemens Plant Simulation
  • Gurobi
  • Pyomo
  • Google OR-Tools
  • AnyLogic
Syllabus

8 modules

  1. 1.1Theoretical, effective and demonstrated capacity
  2. 1.2Bottlenecks and the theory of constraints
  3. 1.3Variability and utilisation factor curves
  4. 1.4Kingman's equation
  5. 1.5Factory Physics and the laws of flow
  6. 1.6Value stream maps
  7. 1.7Takt time and line balancing
  8. 1.8Lead time and waiting time
  9. 1.9Capacity in services and logistics
  10. 1.10Workshop: capacity diagnosis of a machining plant
  1. 2.1Descriptive, predictive and prescriptive twins
  2. 2.2Architecture according to ISO 23247
  3. 2.3Data sources for the twin
  4. 2.4Connected simulation models
  5. 2.5Calibrating the twin with real data
  6. 2.6Update frequency
  7. 2.7Representation of resources and routings
  8. 2.8Fidelity limitations
  9. 2.9Model governance
  10. 2.10Practical: flow twin of a plant in Plant Simulation
  1. 3.1Linear and mixed-integer programming
  2. 3.2Network flow models
  3. 3.3Aggregate capacity planning
  4. 3.4Lot sizing
  5. 3.5Allocation of resources and shifts
  6. 3.6Solvers Gurobi, CPLEX and HiGHS
  7. 3.7Modelling with Pyomo
  8. 3.8Sensitivity analysis and shadow prices
  9. 3.9Robust and stochastic optimisation
  10. 3.10Lab: capacity plan with Pyomo and HiGHS
  1. 4.1Job shop and flow shop problems
  2. 4.2Dispatching priority rules
  3. 4.3Constraint programming with CP-SAT
  4. 4.4Metaheuristics for sequencing
  5. 4.5Changeover times and SMED
  6. 4.6Real-time scheduling
  7. 4.7Rescheduling in response to incidents
  8. 4.8Integration with APS and MES
  9. 4.9Evaluating schedules with simulation
  10. 4.10Lab: job shop sequencing with OR-Tools
  1. 5.1Simheuristics and simulation-based optimisation
  2. 5.2Stochastic evaluation of plans
  3. 5.3Reinforcement learning for dispatching
  4. 5.4Metamodels to speed up the search
  5. 5.5Multi-objective optimisation of cost and service
  6. 5.6Demand and product-mix scenarios
  7. 5.7Capacity investments
  8. 5.8Capacity risk analysis
  9. 5.9Visualising trade-offs
  10. 5.10Practical: buffer optimisation with simulation
  1. 6.1Material flows on the shop floor
  2. 6.2Sizing warehouses and supermarkets
  3. 6.3Milk-run routes
  4. 6.4Autonomous mobile robots and AGVs
  5. 6.5Dock and transport capacity
  6. 6.6Supply chain twin
  7. 6.7Sales and operations planning
  8. 6.8Resilience to disruptions
  9. 6.9Service indicators
  10. 6.10Case study: redesign of the flow of a distribution centre
  1. 7.1Decision cycle with the twin
  2. 7.2Interface with planners
  3. 7.3Validation of recommendations
  4. 7.4Change management
  5. 7.5Measuring savings and benefits
  6. 7.6Integration with ERP
  7. 7.7Security and data access
  8. 7.8Maintenance of optimisation models
  9. 7.9Scaling to several plants
  10. 7.10Case study: investment decision for a new cell
  1. 8.1Characterisation of flow and capacity
  2. 8.2Building the simulation twin
  3. 8.3Calibration with operational data
  4. 8.4Optimisation model
  5. 8.5Integration of simulation and optimisation
  6. 8.6Evaluation of capacity scenarios
  7. 8.7Implementation plan
  8. 8.8Quantification of benefits
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

100% online training 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 the intake, so you can combine it with your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Siemens Plant Simulation, Gurobi, Pyomo, Google OR-Tools and AnyLogic, in free, academic or evaluation versions. Practical work is based on real procedures for bottleneck analysis in production plants, capacity planning with optimisation models and investment appraisal using simulation twins. Assessment is continuous by module, plus the final project.

Standards covered: ISO 23247-1:2021, ISO 22400-2:2014, IEC 62264-1:2013 (ISA-95), VDI 3633 Blatt 1, ISO/IEC 30173:2023, IEC 63278-1:2023 (Asset Administration Shell), ISO 9001:2015.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 23247, ISO 22400-2 and ISA-95 applied to real cases, not as a theoretical annex.
Industry software:Siemens Plant Simulation, Gurobi, Pyomo, Google OR-Tools and AnyLogic, in free, academic or evaluation versions.
Final project:a calibrated simulation twin combined with an optimisation model to evaluate capacity scenarios for a real plant, reviewed by your tutor.
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.

Flow and capacity analysis
Characterise the flow and capacity of the system and identify the bottlenecks.
Simulation twin
Build the simulation twin and calibrate it with operational data.
Optimisation model
Formulate and solve the capacity or scheduling optimisation model.
Scenario evaluation
Integrate simulation and optimisation to evaluate capacity scenarios.
Final project
Present the implementation plan and quantified benefits, reviewed by your tutor.
Career opportunities

Where this takes you

Operations optimisation engineerDigital twin engineerProduction plannerSupply chain consultantOperations research analystIndustrial engineer
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • An 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 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 Siemens Plant Simulation, Gurobi, Pyomo, Google OR-Tools and AnyLogic, 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 programme 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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