Medical Device Design & Manufacturing: Challenges in Emerging Markets
There are numerous challenges to overcome when entering into emerging markets. Not least of which include attention to data-driven design – impact of wearables and IoT in product design tops the list. Also included in the challenges are: supply chain integration, skill management, regulatory issues and more. Using relevant case studies this workshop will address and offer suggestions on how to surmount a short list of these challenges. We’ll cover:
- The need for innovation in design and design inputs
- Design elements specific to - Regulations, Affordability, Adoption etc
- Streamlining R&D with shorter Product Life Cycles
- FDA GMP Compliance
- and more
Discussion also surrounding smart manufacturing and reduction and costs; skill management in operations; and the magic mix on innovative design inputs: design constraints, regulatory stringency, supply chain complexity, and cost pressures. Walk away with case study examples and applicable methodologies used to mitigate the challenges listed above.
Dr. K.V. Krishnan, Vice President-Medical Devices, Mindteck
Reena Daga, Director, Johari Medtech
The Sweetspot – Identifying When to Involve Manufacturing Partners
There is a critical time during the design process when the manufacturing partners should get involved. This is important because the cost of involving them at the wrong moment can be an obstacle to success. Learn first-hand how to avoid one of the most common mistakes being made in the development cycle – WHEN to involve the manufacturing partners. Most involve them too late in the game. But we also see the opposite when people are trying to expedite the project to meet unrealistic timeline (often imposed by investors). The latter can be even more expensive when (and not if) a design change occurs. The sweet spot for an initial conversation with the manufacturing experts is when the design team starts bragging that they have a working prototype. This workshop will:
- Illustrate how to streamline design to manufacturing process using simple review of elements: Business plan; Conceptual design and prototyping; Verification testing; Validation testing; Transfer to production
- Teach how to get your product to the marketplace faster and on time
- Through example, show how to avoid the most common mistakes
Illustrative presentation and interactive discussion throughout. This workshop will especially assist those in the startup community and corporations looking to improve their operation's efficiency for bringing new products to the market place.
Martin Bouliane, Founder of R&3D Engineering, now R&3D Technologies
Analytics: Delivering Real Business Value
The ongoing digital transformation with Industrial IoT isn’t about finding the needle in the haystack of big data - it’s about the relentless focus on deriving new business value from digitizing and optimizing industrial operations at thegon edge and in the cloud. The next wave of business benefits in productivity of plants and supply networks from the Industrial IoT will come from processing the right data at the right place, identifying and driving previously unknown costs out of the supply chain. This presentation will discuss how contextualized data and digital models, using AI to create proof points, are limiting risk, reducing costs associated with re-work and quality review time, and creating standardized repeatable validation processes for medical device manufacturers.
- Understand the difference between big data and contextualized data.
- Learn how analytics can help to identify and drive unknown costs out of the supply chain.
- See how data and AI combined and married with digital modeling can limit risk, reduce rework and quality review time.
- Learn how creating a standardized and repeatable validation process is now possible.
Brian Vogel, Rockwell Automation