Responding Quickly to Unexpected Shifts in Operations

Responding Quickly to Unexpected Shifts in Operations

When simulation models become the basis of decision making in operational settings, they often face time constraints. Machine scheduling in factories is one situation where equipment needs to decide quickly how to respond to its environment.  Traditional simulation...
How to Optimize Decisions When Data Shifts Unexpectedly

How to Optimize Decisions When Data Shifts Unexpectedly

Companies using simulation to optimize their operations need to be able to account for variability in data. Businesses don’t operate in static environments, and their simulation models should be able to adapt accordingly. Even minor fluctuations can have a major...
Goal-Oriented AI: When AI Gives You Chills…

Goal-Oriented AI: When AI Gives You Chills…

There’s something eerie about deep reinforcement learning that sets it apart from other kinds of AI. Deep reinforcement learning is “goal-oriented” AI. That is, it learns which actions to perform in order to reach a goal.  It was used in the early DeepMind demos that...
Reinforcement Learning Business Applications

Reinforcement Learning Business Applications

Every business wants to make smart decisions amid uncertainty, ward off risks, and seize opportunities. Every manager wants to make sure their operations hit performance goals while keeping costs down. Using reinforcement learning to make better operational decisions...