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Inventory management always seems to be trade-off between reliable production and low stock levels. By using mathematical optimization, you can have both at the same time.

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Most companies are already aware of the potential for improvement. But how can optimization potential be identified and quantified? This is where optimization comes in and helps to replace gut feeling with numbers.

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We like to treat solvers as magical black boxes, but it’s worth understanding their basic principle. In this episode, find out more about how solvers can be used to find our optimum incredibly fast.

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A good set of data is the core of every optimization project. But why is so crucial, to use real data already when still implementing the software? Let us share some insights we gained on data during our optimization projects.

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Creating tournament schedules seems simple, but in practice it can be quite complex. It’s also a great example of optimization. Learn more about the details and tricks of creating tournament schedules in this episode.

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At first glance, infeasible problems present a major challenge. Where do the problems come from and how can you recognise and solve them? In this episode, we will explain why you shouldn’t panic about such problems and what options there are for solving them. Have fun with it!

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