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Explore a comprehensive talk on data-driven process systems (DDPS) engineering approaches for supply chain management and enterprise-wide optimization. Delve into the complexities of coordinating interconnected industrial processes involving multi-dimensional, multi-purpose, and multi-product systems. Learn how bi-level programming can address the challenges of optimizing interdependent supply chain elements, from structure to production planning and scheduling. Discover innovative solutions for large-scale complex optimization problems using data-driven modeling and global optimization theory, even without full knowledge of underlying mathematical models. Gain insights from Dr. Burcu Beykal, an expert in chemical and biomolecular engineering, on increasing efficiency, resiliency, productivity, and profitability in enterprise-wide systems.
