Dejanira Araiza Illan is an Assistant Director in Business Transformation & Innovation at the Clinical Supply Chain, Johnson & Johnson. Her professional interests include digital innovation, smart packaging, smart manufacturing technologies, industrial advanced robotic applications, software engineering, artificial intelligence, and verification and validation of autonomous systems. Previously, she worked as Assistant Principal Engineer in Robotic Applications in the Enterprise Supply Chain at Johnson & Johnson, exploring novel and cutting-edge Smart Manufacturing and digital technologies for pharma and medical devices. Before joining Johnson & Johnson, she worked as Scientist and Software Developer at the ROS-Industrial Consortium Asia Pacific and the Advanced Remanufacturing and Technology Centre at A*STAR, in Singapore. She also contributed to the UK funded projects RIVERAS and ROBOSAFE, on the verification of control systems and trustworthy robotic assistants, as a postdoctoral researcher in the University of Bristol. She holds a PhD in Automatic Control and Systems Engineering by the University of Sheffield, UK.
As the complexity of clinical trial drug supply forecasting intensifies, the demand for rapid, data driven decision-making has become paramount. Join Kristel Rens, Director, Business Transformation and Innovation Clinical Supply Chain, J&J, for this session where she explores how leveraging interconnected systems and refining input parameters can revolutionize supply chain strategies. Attendees will learn how to optimize end-to-end supply management, achieve cost efficiency beyond inventory, and enhance environmental sustainability, ensuring seamless operations aligned with industry evolution.
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