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Advanced Manufacturing

Advanced Manufacturing

Advanced manufacturing focuses on improving the performance of industry through the innovative processes and systems from design concept to full production.

it is an exciting time for manufacturing especially the advanced manufacturing sector, where they are embracing new technologies at a rate never before seen, with a huge appetite for early adoption. It is expected that companies across Europe will spend an estimated £159 billion over the next 5 years on Industry 4.0 technologies.

Transform includes advanced manufacturing programmes in support of Industry 4.0 technologies. Coventry University has a keen interest in this area and as such we have developed a range of modules to enhance your organisation's Industry 4.9 activities. Coventry University is a leading institution with a global reach and through its Transform programme of short courses we are well positioned to fulfil industry training needs.

Metrology Courses

First principle measurement

(code: FPM1D1718)

Course summary:

Measurement utilising basic measuring equipment and first principle techniques. This will include the best practice use of hand tools such as calipers, micrometers and bore micrometers. Covering an introduction into how measurement variation occurs during any measurement and the key steps you can take to improve repeatability and accuracy. 

Details:

 

  • An introduction to common hand tools and first principle measurement techniques
  • Understanding the best practice use of common hand tools
  • An appreciation of how measurement variation occurs and how to control it

Who should attend?:

Machine tool operators and shop floor inspectors. Those new to measurement but with a basic understanding of manufacturing. New coordinate measuring system operators or production engineers who apply investigative measurement.

Duration: 1 day

 

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Principles of co-ordinate metrology

(code: MET1D1718)

Course summary:

This course will cover all the key aspects of coordinate metrology including:

  • understanding coordinates in a measurement process
  • giving a good appreciation of the suitability of measurement technologies
  • in-depth best practice strategies for traditional coordinate measuring systems

These topics will help you understand how to get the best out of your measuring system as you use it.

Details:

  • What are coordinates and their units and application?
  • Measurement strategies including setting datum’s and Tolerancing
  • Six degrees of freedom and part holding and fixings
  • Strategies for laser, optical and tactile systems
  • Geometry construction and manipulation
  • Standards for traceability and validation

Who should attend?:

Coordinate measuring system users and programmers, including CMM, optical / vision systems, laser trackers, scanning systems and photogrammetry. This course is also ideal for inspectors prior to undertaking vendor-specific training.

Duration: 1 day

 

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Geometric dimensioning and tolerancing

(code: GDT1D1718)

Course summary:

The aim of this course is to provide an appreciation of Geometric Product Specification (GPS) and the key standards that exist within GPS. We will focus on the application and definition of Geometric Dimensioning and Tolerancing (GD&T) in relation to datum strategies and the application of tolerances in a variety of common applied scenarios.

The course will familiarise the delegate with the feature frame definition system and discuss symbols, tolerance and alignment strategies and the application of suitable part geometries to the respective elements.

Details:

  • Summarise the GPS system and highlight the six primary chain links within it
  • Explain dimensional tolerancing and Geometric tolerancing common practices
  • Illustrate the application of GD&T within the context of engineering component definition
  • Understand the commonly used symbols within feature control frames
  • Summarise a range of practical measurement strategies and techniques which would be suitable to verify physical geometry against the GD&T standards
  • Practice a range of measurement exercises andappreciate relationships between design demandand component verification

Who should attend?:

Any individual who has to interpret engineering drawings and determine their design intent, turning that design intent into an effective, appropriate and trusted measurement result, regardless of the equipment used from hand tools to coordinate measuring systems.

Duration: 1 day

 

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Gauge capability

(code: GCAP1D1718)

Course summary:

An important tool in the metrology armoury is to be able to test measurement process capability. Modern digital devices regularly report dimensions to the micrometre (0.001mm) but the actual capability of the system remains unknown, introducing uncertainty in how that ties into process variation and the tolerances applied. This course will look at Gauge Repeatability and Reproducibility (GR&R) and other gauge capability tools. 

 

Details:

  • Why we need to understand capability of ameasurement process
  • An explanation of process stability and understanding thedata required
  • Which tool to use - GR&R, Gauge R (type 1 study), Cg/CgK
  • Interpreting the results and effecting improvement where required
  • An introduction to Measuring Systems Analysis (MSA)

Who should attend?:

Measurement specialists who have responsibility to assure the confidence in any given measurement system capability. Quality engineers, production / manufacturing engineers who plan or organise measurement and supplier quality engineers.

Duration: 1 day

 

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Lean Courses

Lean six sigma

(code: LSS5D1718)

Course summary:

This course is designed to explore the Lean Six Sigma business improvement technique, its components, methodologies and processes.  The course covers: 

  • 5 S environment
  • Process flow
  • Value stream mapping
  • Project management
  • Stakeholder management and the managementof change in the workplace
  • Leadership, team behaviours and communication
  • Assessing, analysing, improving measurement systems
  • The materials used are tried and tested in Food and Manufacturing environments.

Details:

  • Reduce the timeline of a process
  • Improve the On-Time-In-Full (OTIF) performance of a company
  • Reduce operating costs for a process
  • Project savings
  • Reduce the number of customer complaints
  • Improve process efficiency

Who should attend?:

Managers, team leaders and staff members involved in either Lean or Six sigma process improvement for industry with an opportunity to learn and apply techniques within the workplace.

Duration: 1 day

 

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Simulation and Optimisation courses

Introduction to business simulation (Beginners) 

(code: IBS5D1718)

Course summary:

This short course provides an opportunity to learn and apply business simulation technology in a challenging but low cost and free of risk environment. The course uses a computer based simulator SIMUL8, which models a real life operations environment, with operations management challenges. This software provides a visual modelling platform that enables users to build interactive simulation models. The delegate then will successfully be able to produce logical, coherent, working simulation models and build realistic ‘what-if’ scenarios in order to identify the ‘should-be’ solution.

Details:

  • Introduction to simulation and SIMUL8 basic building blocks
  • Conditional routing out (Branching)
  • Resource and shift pattern modelling
  • Probabilistic simulation & uncertainty
  • Experimental design & ‘what-if’ scenarios

Who should attend?:

People whose role requires them to understand/model and then improve manufacturing, logistics and operations across a variety of sectors. Individual contributors, project managers, systems analysts, technical schedulers and planners, operational research analysts, and technical managers, business partners and consultants. 

Duration: 5 days

 

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Optimisation technology for industry (Intermediate)

(code: OTI5D1718)

Course summary:

This course provides an opportunity to learn and apply mathematical optimisation technology in a challenging but low cost and free of risk business environment. The course uses different optimisation techniques that model a real life operations environment, with real operations management challenges. Solver Add-in- Excel will be introduced as one of the optimisation solvers. This Solver provides a spreadsheet-modelling platform that enables users to mathematical models mathematical models. The delegate then will successfully be able to produce mathematical optimisation models and run sensitivity analysis for testing of optimality.

Details:

  • Introduction to optimisation and mathematical modelling
  • Linear programming mathematical programming
  • Integer programming mathematical programming
  • Multi-objectives optimisation
  • Transportation and assignment optimisation

Who should attend?:

People whose role requires them to understand/model and then improve manufacturing, logistics and operations across a variety of sectors. Individual contributors, project managers, systems analysts, technical schedulers and planners, operational research analysts, and technical managers, business partners and consultants.

Duration: 5 days

 

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Business simulation technology (Advanced) 

(code: BST5D1718)

Course summary:

This short course provides an opportunity to learn and apply business simulation technology in a challenging but low cost and free of risk environment. The course uses a computer based simulator ARENA Rockwell, which models a real life operations environment, with operations management challenges. This software provides a visual modelling platform that enables users to build interactive simulation models. The delegate then will successfully be able to produce logical, coherent, working simulation models and build realistic ‘what-if’ scenarios in order to identify the ‘should-be’ solution. 

Details:

  • Introduction to simulation and ARENA basic building blocks
  • Further basic building blocks
  • Advanced building & transfer blocks
  • Probabilistic simulation & uncertainty
  • Experimental design and ‘what-if’ scenarios

Who should attend?:

People whose role requires them to understand/model and then improve manufacturing, logistics and operations across a variety of sectors. Individual contributors, project managers, systems analysts, technical schedulers and planners, operational research analysts, and technical managers, business partners and consultants.

Duration: 5 days

 

Register your interest