Simon Spoorendonk

Her kan du læse om Simon Spoorendonk, CEO Flowty, der kommer og holder oplæg til Driving IT 2021.

Simon Spoorendonk

CEO, Flowty

Optimization Algorithms may be the answer when Machine Learning is not

For a large class of business problems within planning and scheduling optimization algorithms shine with their ability to exploit problem structures and 0/1 decision making.
Supporting business decisions requires insight. Mathematical optimization lets you use that insight to build scalable and explainable models that can now easily be solved with off-the-shelf software such as Flowty’s. Avoid getting stuck in data trying to figure out what the business wants instead use your knowledge to implement the actual business rules. In this talk we will shed light on the use of optimization algorithms based on a case from the offshore wind farm maintenance domain.

Bio:
Simon er stifter af Flowty, der udvikler matematiske optimeringsalgoritmer indenfor planlægning, skedulering, routing og netværksdesign.
Simon har en phd i datalogi og operationsanalyse fra DIKU og har forsket som Postdoc på DTU. Var med-verdensrekordholder af den hurtigste algoritme til løsning af "the vehicle routing problem with time windows" - den mindre kendte, men mere komplekse fætter til "the travelling saleman problem".