Denise Lelle and Dr. Sven Flake in an interview about the OPTANO workshop “Identifying optimization potential”.
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!
We explain why prescriptive analytics offers a strategic competitive advantage -especially to data-driven companies.
From strategic planning such as the development of an optimal supply network, to the operational task of daily route planning – mathematical optimization is the solution for more last-mile sustainability.
Interview with Dr Jonathan Fritzemeier, Product Manager at Kearney, on the challenges of modern production networks.
High demands are placed on modern production networks. Mathematical optimization can help to meet them.
Cross-docking enables a reduction in storage costs. At the same time, shorter lead times are realized. Measures that increase competitiveness.
With mathematical optimization discrepancies between the sales forecast and the actual sales can be considerably reduced and the planning quality improved.
It seems virtually impossible to find a model for our decision-making which takes all details into account. In this episode we demonstrate how data abstraction can help to model a problem, thus making it the core of successful optimization.
We explain how optimized deployment and route planning works and the advantages it offers.
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