Brokering Additive Manufacturing (BAM)
Society is driving the need for Responsive Manufacturing and requires fundamental research to come-up with strategies that can complement existing Modern Manufacturing Practice (MPP) (e.g. batch, mass and just-in-time).
Driver 1 is Big Demand, which concerns the response, volume, variety and location in demand, arising from large-scale events, such as COVID-19, Brexit, Disaster Response, Global Financial Crisis and War, and mass-customisation/bespoke products simply cannot be met by MPP, such as automotive production lines and supply chains, as they have been optimised for particular products.
Driver 2 is accommodating dynamic production constraints. COVID-19’s measures of social distancing and tiering system as well as trade disputes (Brexit and America vs. China) have shown how quickly MPP can be severed, significantly reducing supply to society.
Driver 3 is facilitating manufacturing independence. MMP has enabled large developed nations – America, China, EU, Japan, South Korea, India – to provide production capability that developed smaller (e.g. UK, Switzerland) and developing nations would not have had access to. However, many society’s view manufacturing independence as a strategic goal (e.g. Reshoring) especially in light of Drivers 1 & 2 where a nations reliance on other nations’ manufacturing capability leaves them vulnerable and without the capability to combat their national needs.
Brokered Additive Manufacturing (BAM) will prove that these drivers can be met through a nation’s highly distributed and diverse Additive Manufacturing (AM) capability if it can be effectively brokered.
BAM brings together world-leading researchers from the Schools of Civil, Mechanical and Aerospace engineering and Business Management, 300+ leaders in the AM industry (GTMA, AMUG, AT 3D Squared) and Model-Based Systems Engineering (CFMS), and industry/government initiatives (Reshoring UK) to create novel brokering of highly distributed and diverse manufacturing systems.
BAM’s transdisciplinary approach will see the team:
- profile Big Demand, dynamic production constraints and local, regional, national and global contexts to facilitate independence.
- develop Business Models and Government Policy.
- characterise AM capability.
- create Production System boundary condition models and agent-based models of BAM that simulate both human and machine brokering of jobs at community, regional, national and international scales.
BAM solutions will be evaluated through controlled lab experiments, living labs and development of industry demonstrators. The solutions will give rise to a new class of production system that broker highly distributed and diverse manufacturing capability (e.g. AM). This will underpin factories of the future that are not confined to single facilities but are as diverse and distributed as the manufacturing capability they house, revolutionising society’s production giving it greater flexibility and responsiveness to meet our future needs.
Meet the Team
- M. Goudswaard, C. Snider, M. Obi, L. Giunta, K. Ramli, J. Johns, B. Hicks and J. Gopsill. “Required parameters for modelling heterogeneous geographically dispersed manufacturing systems”. Procedia CIRP. 2022. View
- L.Giunta, M. Obi, M. Goudswaard, B. Hicks and J. Gopsill. “Comparison of Three Agent-Based Architectures for Distributed Additive Manufacturing”. Procedia CIRP. 2022. View
- J. Gopsill, M. Obi, L. Giunta and M. Goudswaard. “Queueless: Agent-Based Manufacturing for Workshop Production”. Proceedings of the 16th International KES Conference on Agent & Multi-Agent Systems: Technologies & Applications. 2022. View Watch Presentation
- M. Obi, C. Snider, L. Giunta, M. Goudswaard and J. Gopsill. “Coping with diverse product demand through agent-led type transitions”. Proceedings of the 16th International KES Conference on Agent & Multi-Agent Systems: Technologies & Applications. 2022. View Watch Presentation
- M. Goudswaard, J. Gopsill, A. Ma, A. Nassehi, and B. Hicks. “Responding to rapidly changing product demand through a coordinated additive manufacturing production system: a COVID-19 case study”. In: Proceedings of the Manufacturing Engineering Society International Conference. 2021. View
- J. Gopsill, M. Goudswaard, C. Snider, J. Johns, and B. Hicks. “Achieving responsive and sustainable manufacturing through a brokered agent-based production paradigm”. In: Proceedings of Sustainable Design and Manufacturing. 2021. View Watch Presentation
- Living Lab Website. V2 Code | Website. V1 (Deprecated) Code | Website.
- Typescript client for the on-machine Ultimaker API. NPM | GitHub | Docs.
- Typescript client for the OctoPrint API. NPM | GitHub | Docs.
- Typescript client for Markforged Eiger.io AM Fleet Manager. NPM | GitHub | Docs.
- Typescript client for Repetier Server. NPM | GitHub | Docs.
- Typescript client for the Ultimaker Cloud API. NPM | GitHub.
- Typescript client for the HP 3D Printing API. NPM | GitHub.
- Typescript client for Thingiverse. NPM | GitHub.
- Typescript client for MyMiniFactory. NPM | GitHub.
- BAM Broker. GitHub
- Web Serial Printing. Demonstrator Website | GitHub | Blog
- Typescript client for Grants on the Web. NPM | GitHub.
- Typescript client for Crossref. NPM | GitHub.
In this post, we discuss the computational requirements in scaling up an agent-based manufacturing service.
The DMF lab have just returned from FormNext 2022. What an amazing showcase of AM capability. Read on to find out what we showed and learnt from the week.
The DMF lab are busy preparing the stand for FormNext 2022.
On 5th October 2022, BAM project team members, Jennifer Johns and Kautsar Ramli attended the AM-UK Relaunch event at the National Centre for Motorsport Engineering (NCME) in Bolton.
Soo-Hwa Kim is investigating the affordances of including machines agents that have memory that enable them to make predictions on the incoming workflow as well as store multiple jobs at any one time.
Owen Peckham is investigating the Minimum Viable Information requirements to broker deals between jobs and machines, as well as examining the affordances of including additional information during the brokering process.
The DMF attended the tenth International Conference on Design Cognition and Computing (DCC’22) in Glasgow and received the best poster prize and runner up in the best paper award!
BAM research associates Lorenzo Giunto and Mark Goudswaard are in Lugano this week presenting their work at the 55th CIRP annual conference of manufacturing systems. This marks a first return to in person conferences since 2019, and it’s been a great opportunity to get out and share the exciting work that’s been going on with […]
Muhallab Al Ismaily is modelling how a Brokered Additive Manufacturing network could have supported us during the COVID-19 pandemic.