Decision-making under uncertainty

Meinolf Sellman: “The key to efficiency and smooth, low-cost, and low-surprise operations is to make better decisions. And that has always been the objective of AI. Not the silly chatbot AI that you see being hyped. Not the expensive AI that asks you to spend millions on GPUs and data initiatives either. The AI that companies need to oil their operations is Optimization.

  • Need to take waste and costs out of your production?
  • Need to perfect your pricing and revenue management?
  • Need to schedule your personnel under uncertainty of labor demand and labor supply?
  • Need to optimize your inventory management so costs go down and service level goes up?
  • Need to save on transportation?
  • Need to optimize your energy production or consumption?

All of the above asks for decision-making under uncertainty can be done with optimization solvers.” Link Constraint Solvers Linear and MIP Solvers

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