Project work packages:
WP1 – Project management
Activities that will ensure an orderly project implementation.
WP2 – Establishment of current HVM simulation activities and community identification.
The establishment of a simulation use landscape to identify topic areas for best practice and state of the art comparisons later in the project will be led by NAFEMS.
A desk study will be performed to list simulation and modeling approaches relevant to HVM and with inputs from KTN a list of leading researchers and industry players will be assembled to begin community building.
7 key manufacturing industries will be targeted:
- Process (including Chemistry & Food)
- Built Environment
- Heath (including medical and life-style)
WP3 – Capturing industrial best practices
Lead: NAFEMS and Alstom
Using the outputs from WP2, Alstom and several experts will engage with 10-15 practitioner companies from the defined industry sectors to determine which simulation techniques are actually used and how (with specific best practice activities documented in detail).
This engagement will involve direct discussions coupled with a community workshop to further evolve consensus on best practice across the most important simulation technologies with high potential advantage in multiple sectors if adopted more widely.
An attempt will be made to obtain real case studies to illustrate current best practices. A common information-gathering framework will be developed and employed by all involved to assist the comparison across sectors to be carried out by Alstom. The workshop will also contribute to WP6.
WP4 – Capturing the state of the art
Using the outputs from WP2 KTN will engage with the academic community to determine leading researchers in UK and the state of the art in their simulation and modeling fields.
This engagement will involve direct discussions coupled with a community workshop to establish state of the art across the most important simulation areas for HVM.
An attempt will be made to obtain real case studies to illustrate current state of the art. Hardware and software integration and complexity generation to achieve reliable combinatorial approaches for maximum gain will be considered for both material/component behavior and overall system/product performance optimization prediction.
WP5 – Comparing the state of the art with the industrial best practices, actual usage practices and prioritized future requirements
Lead: Alstom and NAFEMS
The outputs from WP3 and WP4 will be compared to establish the gaps between current best practices and state of the art and the challenges that must be addressed to reduce these gaps and drive forward the quality of simulation use in UK manufacturing.
The future technology requirements to advance best practices will be identified and prioritized to inform research translation support. In addition the translation of existing technology into industry will be investigated to identify mechanisms to enhance deployment at the current best practice level.
A community workshop will be held bringing together academic and industry experts to build consensus on the priorities to inform future investment strategies.
WP6 – Dissemination
The case studies that have been developed to illustrate the current best practices and other project outputs from WP3, WP4, WP5 will be compiled into a web based portal that will be free to access and will provide a unified entry point for the simulation community.
New starters and experienced users wishing to enhance activities will both be catered for via a structured comparison of different complexity examples and assessments. In addition KTN will develop new material to disseminate to its members at meetings, events and webinars and will continue to support and grow the simulation community developed throughout the project.
New training material will also be jointly created by Alstom, NAFEMS with help from the consultants and deployed by NAFEMS in their training and seminar programme to help inform and educate companies throughout the UK supply chain, especially SMEs, where the general level of expertise is known to be a barrier to the more widespread deployment of beneficial simulation technology.