How Data Science and Modeling Can Supercharge Your Risk Management

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Risk management is defined as anticipating and responding to an event not yet part of the plan of record that requires a significant adjustment in your demand-supply network (DSN). COVID-19 has put risk management at the front and center in the supply chain world.

Creating a successful plan demands a thoughtful combination of data science and computational models to anticipate structural weak points. To identify these structural shortcomings, you need a quality central planning engine (CPE), and resolving them often requires a change in the economic landscape.

Join this incredible webinar with Dr. Ken Fordyce, Solutions Director, Supply Chain, and Advanced Analytics at Arkieva, and learn about the ongoing challenge of implementing rapid intelligent response (RIR) to improve organizational performance with better decisions.

In this Webinar, you will learn:

The core components and flow of a supply chain management system
The additional workings needed to move from a good plan to rapid intelligent response (RIR)
How to avoid data-driven disasters
What structural data quality is and why it limits rapid intelligent response (RIR)
What community intelligence is and why it is critical to rapid intelligent response (RIR)
The challenge of structural vulnerability and the role of the economic landscape

See you there!

Wednesday, July 14th, 2021 at 11AM PDT, 2PM EDT, 6PM GMT

Brought to you by:

Dr. Ken Fordyce, Solutions Director, Supply Chain and Advanced Analytics at Arkieva

Dr. Ken Fordyce is solutions director, supply chain and advanced analytics for Arkieva. He joined Arkieva in 2013 after completing a 36-year career beginning in 1977 with IBM in all aspects of demand supply networks deploying analytics without borders. Ken was lucky enough to be part of the teams that altered the landscape of best-practices, these teams received major awards from IBM, INFORMS, AAAI, and POMS He writes and speaks often about the "ongoing challenge," both to practitioners and academics. He has served as an adjunct professor at Clarkson, Columbia, and Pace. He holds a MS in Operations Research & Statistics and a PhD in Administrative & Engineering Systems from Union University. He is a long-time colleague of Arkieva CEO, Dr. Harpal Singh, dating back to the 1990s.

Supply Chain Brief