Postgraduate DiplomaRobotics, Automation & Control Applications open

Diploma in Pick&Place Line Optimization

Online postgraduate diploma of 800 hours in pick-and-place line optimisation: 8 modules covering pick-and-place machines, line balancing, sequence optimisation, changeovers and setup, programming and preparation, placement quality and production management under IPC-9850A, IPC-A-610J and IPC-2591 CFX, 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 pick-and-place machine performance according to IPC-9850.

02

Balance placement lines with several machines and products.

03

Optimise placement sequences using heuristic algorithms.

04

Reduce changeover times by applying SMED and setup families.

05

Prepare placement programs from CAD data.

06

Control placement quality and component attrition.

07

Plan high-mix production with the support of simulation.

Profile

Who it's for

  • SMT process engineers.
  • Pick-and-place machine programmers.
  • Industrialisation engineers.
  • Electronics production planners.
  • Process optimisation analysts.
  • SMT line managers.
  • Engineering or science graduates seeking to move into EMS electronics manufacturing.
Standards & tools

What you'll work with

  • IPC-9850A (performance parameters for placement equipment)
  • IPC-A-610J (acceptability of electronic assemblies)
  • IPC-2591 CFX (Connected Factory Exchange)
  • IPC-HERMES-9852 (machine-to-machine communication in SMT lines)
  • ISO 22400-2:2014 (manufacturing operations KPIs)
  • IEC 61340-5-1:2024 (electrostatic discharge control)
  • IPC-7351B (land pattern and footprint standard)
  • Siemens Valor Process Preparation
  • ASM Works
  • Fuji Nexim
  • Siemens Plant Simulation
  • Python with OR-Tools
Syllabus

8 modules

  1. 1.1Types of placement machines
  2. 1.2Gantry and turret heads
  3. 1.3Nozzles and their selection
  4. 1.4Tape, tray and tube feeders
  5. 1.5Centring vision systems
  6. 1.6Placement accuracy and repeatability
  7. 1.7Theoretical and actual speed in CPH
  8. 1.8Fine-pitch component capabilities
  9. 1.9Suppliers and platforms
  10. 1.10Case study: comparison of two placement lines
  1. 2.1The concept of balancing in SMT
  2. 2.2Bottleneck and cycle time
  3. 2.3Allocating components to machines
  4. 2.4Feeder constraints
  5. 2.5Multi-product balancing
  6. 2.6Heuristic allocation algorithms
  7. 2.7Balancing simulation
  8. 2.8Measuring actual cycle time
  9. 2.9Impact on OEE
  10. 2.10Laboratory: balancing a line with three placement machines
  1. 3.1The placement sequencing problem
  2. 3.2Head routes and the travelling salesman problem
  3. 3.3Optimising simultaneous pick-ups
  4. 3.4Nozzle assignment
  5. 3.5Feeder positioning on the machine
  6. 3.6Genetic and simulated annealing metaheuristics
  7. 3.7Manufacturers’ optimisation software
  8. 3.8Validation of optimised programs
  9. 3.9Comparison of results
  10. 3.10Practical exercise: sequence optimisation with a genetic algorithm
  1. 4.1Changeover losses
  2. 4.2Product families and common setups
  3. 4.3Pre-loaded feeder trolleys
  4. 4.4SMED applied to SMT
  5. 4.5Offline preparation
  6. 4.6Load verification
  7. 4.7Order sequence planning
  8. 4.8High mix, low volume
  9. 4.9Changeover indicators
  10. 4.10Workshop: reducing changeover time with setup families
  1. 5.1CAD data and bills of materials
  2. 5.2Offline program generation
  3. 5.3Component and shape libraries
  4. 5.4Fiducial management
  5. 5.5Panels and sub-panels
  6. 5.6Programming bad-board rejection
  7. 5.7Valor and Siemens Process Preparation tools
  8. 5.8First article validation
  9. 5.9Program version control
  10. 5.10Practical exercise: program preparation from CAD data
  1. 6.1Placement defects and their causes
  2. 6.2Nozzle wear and maintenance
  3. 6.3Head calibration
  4. 6.4Centring vision errors
  5. 6.5Capturing pick-up errors
  6. 6.6Component losses and attrition
  7. 6.7Correlation with AOI
  8. 6.8Machine capability Cmk
  9. 6.9Preventive maintenance of placement machines
  10. 6.10Case study: reducing component attrition
  1. 7.1Order planning in SMT
  2. 7.2Finite capacity scheduling
  3. 7.3Internal reel logistics
  4. 7.4Integration with MES
  5. 7.5Productivity indicators
  6. 7.6Simulation of production scenarios
  7. 7.7Automation of SMT intralogistics
  8. 7.8Staffing and training
  9. 7.9Continuous improvement
  10. 7.10Practical exercise: weekly production plan for high mix
  1. 8.1Analysis of the line and products
  2. 8.2Measuring the baseline
  3. 8.3Proposed balancing
  4. 8.4Sequence optimisation
  5. 8.5Setup strategy
  6. 8.6Placement quality plan
  7. 8.7Evaluation of improvements
  8. 8.8Implementation plan
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

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, making it compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Siemens Valor Process Preparation, ASM Works, Fuji Nexim, Siemens Plant Simulation and Python with OR-Tools, in free, academic or evaluation versions. Tests are studied on real procedures: balancing a multi-product SMT line, optimising placement sequences, and reducing product changeover time. Assessment is continuous by module plus the final project.

Standards covered: IPC-9850A, IPC-A-610J, IPC-2591 CFX, IPC-HERMES-9852, ISO 22400-2:2014, IEC 61340-5-1:2024, IPC-7351B.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of IPC-9850A, IPC-A-610J, IPC-2591 CFX and ISO 22400-2 applied to real cases, not as a theoretical annex.
Industry software:Siemens Valor Process Preparation, ASM Works, Fuji Nexim, Siemens Plant Simulation and Python with OR-Tools, in free, academic or evaluation versions.
Final project:optimisation of a real pick-and-place line, from baseline measurement to balancing, sequence optimisation, setup strategy and implementation plan, 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.

Baseline analysis
Analyse the line and products and measure the starting situation.
Line balancing
Propose a balanced allocation of components across machines.
Sequence and setup optimisation
Optimise placement sequences and define the setup family strategy.
Placement quality plan
Plan placement quality control and component attrition reduction.
Final project
Evaluate the improvements, draw up the implementation plan and present it to your tutor.
Career opportunities

Where this takes you

SMT process engineerPick-and-place machine programmerIndustrialisation engineerElectronics production plannerProcess optimisation analystSMT line manager
Admissions & scholarships

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 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.

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 Valor Process Preparation, ASM Works, Fuji Nexim, Siemens Plant Simulation and Python with OR-Tools, 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 capable of running 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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