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planning of complex processes
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Die kontinuierliche Versorgung mit Rohstoffen und den damit verbundenen Kosten, volatile Nachfrage oder unvorhergesehene Ereignisse machen Planern das Leben schwer. In unserem neuen Video zeigen wir, wie mathematische Optimierung, gepaart mit künstlicher Intelligenz (ai), die Arbeit deutlich erleichtern kann.
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Life – and planning in particular – would be so much easier if we knew in advance what was going to happen in the future. Of course, that’s not possible. But with predictive analytics, we come pretty close, at least for our planning questions.
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.
Optimization projects are complex. How can we make sure, that our projects are going in the right direction? We divide our projects into 3 phases: the prototype, the minimum viable product and the fully productive product. Let’s see what the first phase is about and what we achieve with it.
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