Andrew Stevens

Research Director, Supply Chain
Gartner

Andrew Stevens is a Research Director on the Core (Plan and Make) Supply Chain team, covering the following industries: pharmaceuticals; biotechnology; vaccines; medical devices; agrochemical; chemical; healthcare delivery providers - Europe and Asia/Pacific; and healthcare service providers - Europe and Asia/Pacific. His main areas of expertise are covering supply chain core principles, strategy and systems from research and development to NPI and sourcing/procurement and then manufacturing. He also looks at end-to-end supply chain strategy and best practice. He has experience speaking with clients in the following areas: track and trace/serialisation/serialization; verification and authentication; brand protection , regulatory and security; supply planning and supply management; supply networks; clinical trials; unique device identifiers (UDIs); supply chain data governance, data quality and data integrity; supply chain master data management; strategy around evolving healthcare supply chains and healthcare value networks; control towers - pharma; cold chain; 3D printing within the life sciences supply chain; and quality systems and integrated systems, such as LIMS/MES.

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Day Two: Optimizing Global Supply Chain Processes And Partnerships

Friday, March 4th, 2016

12:05 Assessing The Global UDI And Track And Trace Legislations And How They Will Shape Future Healthcare Supply Chains

The global legislations currently being rolled out for UDI and track and trace across medical devices and pharmaceuticals will create opportunities for supply chain integration, standardization and convergence to enhance the patient experience, ultimately driving joint value to all supply chain participants.
• Exploring the current evolution of global legislations and how medical device and life science organizations are using this period to take broader views of their supply chain strategy and operational execution
• Investigating the opportunities for redefining governance models for managing complex data sets and business enablement criteria that can realize new data originating from deployment models to meet legislation requirements