1. Program 3 – Rapid Productisation

2. Program 3: Rapid Productisation
Objective & Benefit
Rapid Productisation will…
• implement an open source innovation model that is broadly accessible
• create greater access for SMEs through a new innovation centre and makers precinct for
advanced electronics design capabilities utilising ASIC platforms and new bionic devices
• build capability for high quality, low volume personalised production, including advanced on-
line real time analysis and advanced design tools
• create low cost access for product testing and compliance and promote the development and
implementation of standardisation for innovative manufacturing
The Rapid Productisation program will create platforms and models to increase efficiencies
in manufacturing businesses and provide a safe environment for businesses to learn and
grow based on proven innovation models. Research from this program will include a
standardised system for innovative manufacturing that will decrease testing and compliance
costs for businesses

3. Plug and Play manufacturing system
This project focusses on making our factories more efficient by modelling the “plug and play”
approach to upgrading manufacturing production lines
Description Year 1
(2015)
Year 2
(2016)
Year 3
(2017)
Year 4
(2018)
Year 5
(2019)
Year 6
(2020)
Year 7
(2021)
Research
Outputs
A major output will be the “Plug–and–Play manufacturing module” including controls and
interfaces ready to be selected into a complete integrated manufacturing system for new
products in a product family.
•Develop formal (knowledge transferrable) modelling and simulation training package and
create processes to migrate the current business processes and workflows to new
integrated systems design
•Determine opportunities in alternative manufacturing domains not included in previous
research
•Generic adaptable new small batch integrated systems design package for industry
Resources x Postdoctoral fellow p/a
x Postgraduates p/a
Approximately $xx in operational expenditure invested over the seven year period
Participant
s

4. Manufacturing in the Cloud
The manufacturing cloud will provide firms with a universal portal for rapid productization
using the facilities of the factories of the future.
Description Year 1
(2015)
Year 2
(2016)
Year 3
(2017)
Year 4
(2018)
Year 5
(2019)
Year 6
(2020)
Year 7
(2021)
Research
Outputs
A major output of Manufacturing in the Cloud is the integrated modelling platform to
enable dynamic visualization of factories that embed new technologies and provides a one
stop platform for design and productisation
•Fully integrated design production procedures across research providers
•Tools developed for tracking, evaluating rapid productisation processes
•Concentrate on technology transfer to industries, facilitate training, continue product
development
Resources x post doctoral fellows p/a
Approximately $xx in operational expenditure invested over the seven year period
Participant
s

5. Critical components and platforms
Critical Components and Platforms will develop essential (but currently missing)
components for rapid productisation including a customisable ASIC and a bionics foundry.
Description Year 1
(2015)
Year 2
(2016)
Year 3
(2017)
Year 4
(2018)
Year 5
(2019)
Year 6
(2020)
Year 7
(2021)
Research
Outputs
Major outputs for this project will be the critical components for Rapid Productisation, a
customisable ASIC chip and a bionics foundry.
•Customizable ASIC technology which combines programmable analog and digital systems
on a single chip for the ‘internet of things’.
•Design rules and tools for implantable bionic devices, including design and fabrication of
fully implantable neural recording and stimulation system ready for clinical testing
Resources x post doctoral fellows p/a
x postgraduate p/a
Approximately $xx in operational expenditure invested over the seven year period
Participant
s

6. Testing and Compliance
Development of tools and systems to Roadtest designs to ensure regulatory compliance and adherence
to standards, Collect data during manufacture for certification of product quality and pedigree, Embedded
sensor systems for quality assurance.
Description Year 1
(2015)
Year 2
(2016)
Year 3
(2017)
Year 4
(2018)
Year 5
(2019)
Year 6
(2020)
Year 7
(2021)
Research
Outputs
A major output is the Total product reliability assessment and validation from the
integration of engineering design data with component reliability testing to enable fast track
certification of product reliability. Methods to identify critical faults and extreme operational
conditions are incorporated in this assessment.
•Design sacrificial sensors to be incorporated into additive manufactured products.
•Develop prototype software control
•Confirm performance of sensors against standard compliance tests
•Patent software development
Resources x Research Manager p/a
x Postdoctoral fellow p/a
x Postgraduate p/a
x Research Assistant
Approximately $xx in operational expenditure invested over the seven year period
Participant
s

7. Testing and Compliance
Development of tools and systems to Roadtest designs to ensure regulatory compliance and adherence
to standards, Collect data during manufacture for certification of product quality and pedigree, Embedded
sensor systems for quality assurance.
Description Year 1
(2015)
Year 2
(2016)
Year 3
(2017)
Year 4
(2018)
Year 5
(2019)
Year 6
(2020)
Year 7
(2021)
Research
Outputs
A major output is the Total product reliability assessment and validation from the
integration of engineering design data with component reliability testing to enable fast track
certification of product reliability. Methods to identify critical faults and extreme operational
conditions are incorporated in this assessment.
•Design sacrificial sensors to be incorporated into additive manufactured products.
•Develop prototype software control
•Confirm performance of sensors against standard compliance tests
•Patent software development
Resources x Research Manager p/a
x Postdoctoral fellow p/a
x Postgraduate p/a
x Research Assistant
Approximately $xx in operational expenditure invested over the seven year period
Participant
s