iCal

Questions to be answered

To discuss challenges in pharma and life sciences industries

• in robot adoption
• what are the new opportunities
• where are potential collaborations possible

End-users, Research community, Tech developers, suppliers, engineering

community Speakers: end-user organisations, research and academia

Description

The pharmaceutical industries, and life sciences more generally, play an important role in our quality of life and economic prosperity. However, the use of robotics has been quite limited due to missing capability. In this workshop, we bring together perspectives from both the industrial robots and lab robotics TGs to identify and address the challenges.

Speakers and panellists are from End-users, Research, and academic communities (details provided in the sections below).

Tech developers, suppliers, engineering community already expressed interest in participating in the workshop discussions

Organisation of the WS

• 14:00 - 14:05 Introduction & Scene Setting: Welcome and overview of the workshop agenda and objectives.
• 14:05 - 14:20 Presentation 1: Drug Manufacturing (Milad Jami – Novo Nordisk, Denmark)
• 14:20 - 14:35 Presentation 2: Drug Delivery – Validation & Verification (Philip Schneider – Roche, Switzerland)
• 14:35 - 14:50 Presentation 3: Future Perspectives in Laboratory Automation (Andreas Traube – Fraunhofer IPA, Germany)
• 14:50 - 15:15 Interactive Panel Discussion (audience survey running in parallel) (Karol Janik - MTC, United Kingdom; Milad Jami – Novo Nordisk, Denmark; Philip Schneider – Roche, Switzerland; Andreas Traube – Fraunhofer IPA, Germany)
• 15:15 - 15:20 Closure: Summarizing insights and outlining next steps.

Intended outcome

From the audience survey/poll as well as the live conversation in the workshop, we will capture

• Challenges in robot adoption
• New opportunities that can lead to collaborations

Speakers, Panelists, etc

Speakers

• Milad Jami – Novo Nordisk, Denmark
• Philip Schneider – Roche, Switzerland
• Andreas Traube – Fraunhofer IPA, Germany
• Karol Janik – MTC, United Kingdom

Topic Groups and/or Innovation networks involved

Laboratory Robotics TG , Industrial Robotics TG

Projects involved

Digital Manufacturing Accelerator, DMA-MTC (https://digitalmanufacturingaccelerator.com/), Liverpool Metropolitan Area Regional Funding, DMA project involved developing two highly reconfigurable production lines dedicated to pharmaceutical (personalised packaging of pills) and fast moving consumer goods industries (personalised shampoo filling) as a physical demonstration of reconfigurable manufacturing digital infrastructure.

TraceBot (http://www.tracebot.eu) which involved developing traceable robotics suitable for use in regulated environments such as pharmaceutical manufacturing, based on advances in perception, planning and reasoning to create a digital audit trail.

Further information

• Lab automation by Patrick
• Milad
• Focus on drug manufacturing (drug delivery means manufacturing)
• Technology challenges
• Technology adoption and opportunities (advanced use cases that are being explored)
• Opportunities - exploring simulation and digital twins - doing digital verification in simulated environments is an opportunity - risk mitigation in simulated environments
• Philip
• focus on drug delivery - validation & verification
• What is the driver to look into robotic applications (dull, dirty, dangerous and delicate tasks)
• Implementation of mobile robotic system, difficulty in connecting at the IT / OT level
• Industry still at the early stage of adoption of collaborative robots - safety in shop floor
• Andreas
• Focus on bringing future perspective in the laboratory automation
• Success story or a use case that is implemented in a small scale research lab setting - this can feed in well into what the challenges for scaling up into the industry

• 5Ds - How can Data complement the other 4Ds
• Q on verification & validation

https://www.mentimeter.com/blog/business/slido-alternatives

• Where are you from? (Industry, academia, RTO)
• What comes to your mind when you think of automation in pharmaceutical manufacturing?
• Dull, Dirty, Dangerous, Delicate and Data - in which areas can you contribute from your experience?

Organisers

• Radhika Gudipati (ARIA), radhika.gudipati@aria.org.uk
• Patrick Courtney (tec-connection), patrick.courtney@tec-connection.com
• Karol Janik (MTC) karol.janik@the-mtc.org