Optimal Control is the science of making decisions in a way that optimises a key quantity such as revenue, customer satisfaction, or quality of service. Cake exampleBertrand has a cake. He likes cake a lot but he can overeat cake sometimes in which case he doesn’t enjoy it so much. He would like to work out how much cake he should eat today and the next and the next so that he maximises his overall enjoyment of the cake, possibly making it last a long time (but not so long that it goes stale). The development of this decision strategy is a good example of optimal control.Airline exampleWhen selling tickets to customers, airlines face the problem of setting the right price, which allows them to both get a satisfactory instantaneous reward but also to reserve some capacity for later demand, typically associated with a higher willingness to pay. In this context, how can they make sure such a right price is offered to the customer at each moment of time? Interview guest Dr. Manuel Offidani, Data Scientist at easyJet.https://uk.linkedin.com/in/manuel-offidaniFurther ReadingPaper: An Optimal Control Problem of Dynamic Pricing (summary via researchgate)Book: The Theory and Practice of Revenue Management (contents via Springer) Book: Dynamic Programming and Optimal Control (summary via researchgate)Some links above may require payment or login. We are not endorsing them or receiving any payment for mentioning them. They are provided as is. Often free versions of papers are available and we would encourage you to investigate.Recording date: 6 Mar. 2020Interview date: 7 Feb. 2020Additional sound effects from https://www.zapsplat.comSend us a textThanks for joining us in the DataCafé. You can follow us on twitter @DataCafePodcast and feel free to contact us about anything you've heard here or think would be an interesting topic in the future.

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