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Details of Grant 

EPSRC Reference: EP/V062077/1
Title: Made Smarter Innovation - Digital Medicines Manufacturing Research Centre
Principal Investigator: Florence, Professor AJ
Other Investigators:
Benyahia, Dr B Markl, Dr D Johnston, Dr BF
Srai, Dr JS Pierce, Professor SG
Researcher Co-Investigators:
Project Partners:
Altair Engineering Ltd AstraZeneca BDD Pharma Ltd
Blaze Metrics, LLC. Calderdale & Huddersfield NHS Foun Trust Cambridge Crystallographic Data Centre
Centre for Process Innovation CPI (UK) Chiesi Pharmaceuticals Connected Everything Network+ (II)
CPACT Dietrich Engineering Consultants S.A. EPSRC Future Manufact Hub Target Health
Fette Compacting GlaxoSmithKline plc (GSK) Henry Royce Institute
Knowledge Transfer Network KTN KUKA Robotics UK Limited Malvern Panalytical Ltd
MEDELPHARM MG2 S.r.l. National Physical Laboratory
nVIDIA Perceptive Engineering Ltd Process Systems Enterprises Ltd
Smith & Nephew plc (UK) TUV SUD (UK) UCB
Department: Inst of Pharmacy and Biomedical Sci
Organisation: University of Strathclyde
Scheme: Standard Research
Starts: 30 September 2021 Ends: 29 March 2025 Value (£): 5,086,406
EPSRC Research Topic Classifications:
Information & Knowledge Mgmt Intelligent & Expert Systems
Manufact. Enterprise Ops& Mgmt Manufacturing Machine & Plant
Microsystems
EPSRC Industrial Sector Classifications:
Pharmaceuticals and Biotechnology
Related Grants:
Panel History:
Panel DatePanel NameOutcome
14 Apr 2021 ISCF Manufacturing Made Smarter Research Centres Interview Panel Announced
23 Mar 2021 ISCF Manufacturing Made Smarter Research Centres Sift Panel Announced
Summary on Grant Application Form
Powered by data, Industrial Digital Technologies (IDTs) such as artificial intelligence and autonomous robots, can be used to improve all aspects of manufacturing and supply of products along supply chains to the customer. Many companies are embracing these technologies but uptake within the pharmaceutical sector has not been as rapid. The Medicines Made Smarter Data Centre (MMSDC) looks to address the key challenges which are slowing digitalisation, and adoption of IDTs that can transform processes to deliver medicines tailored to patient needs.

Work will be carried out across five integrated platforms designed by academic and industrial researcher teams. These are: 1) The Data Platform, 2) Autonomous MicroScale Manufacturing Platform, 3) Digital Quality Control Platform, 4) Adaptive Digital Supply Platform, and 5) The MMSDC Network & Skills Platform.

Platform 1 addresses one of the sector's core digitalisation challenges - a lack of large data sets and ways to access such data. The MMSDC data platform will store and analyse data from across the MMSDC project, making it accessible, searchable and reusable for the medicines manufacturing community. New approaches for ensuring consistently high-quality data, such as good practice guides and standards, will be developed alongside data science activities which will identify what the most important data are and how best to use them with IDTs in practice.

Platform 2 will accelerate development of medicine products and manufacturing processes by creating agile, small-scale production facilities that rapidly generate large data sets and drive research. Robotic technologies will be assembled to create a unique small-scale medicine manufacturing and testing system to select drug formulations and processes to produce stable products with the desired in-vitro performance. Integrating several IDTs will accelerate drug product manufacture, significantly reducing experiments and dramatically reducing development time, raw materials and associated costs.

Platform 3 focusses on the digitalisation of Quality Control (QC) aspects of medicines development which is important for ensuring a medicine's compliance with regulatory standards and patient safety requirements. Currently, QC checks are carried out after a process has been completed possibly spotting problems after they have occurred. This approach is inefficient, fragmented, costly (>20% of total production costs) and time consuming. The digital QC platform will research how to transform QC by utilising rich data from IDTs to confirm in real time product and process compliance.

Platform 4 will generate new understanding on future supply chain needs of medicines to support adoption of adaptive digital supply chains for patient-centric supply. IDTs make smaller scale, autonomous factory concepts viable that support more flexible and distributed manufacture and supply. Supply flexibility and agility extends to scale, product variety, and shorter lead-times (from months to days) offering a responsive patient-centric or rapid replenishment operating model. Finally, technology developments closer to the patient, such as diagnostics provide visibility on patient specific needs.

Platform 5 will establish the MMSDC Network & Skills Platform. This Network will lead engagement and collaboration across key stakeholder groups involved in medicines manufacturing and investments. The Network brings together the IDT-using community and other relevant academic and industrial groups to share developments across pharmaceuticals and broader digital manufacturing sectors ensuring cross-sector diffusion of MMSDC research. Existing strategic networks will support MMSDC and act as gateways for IDT dissemination and uptake. The lack of appropriate skills in the workforce has been highlighted as a key barrier to IDT adoption. An MMSDC priority is to identify skills needs and with partners develop and deliver training to over 100 users
Key Findings
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Organisation Website: http://www.strath.ac.uk