In this episode, Marc Giombetti and Yashar Ahmadov explain simulation and its importance in supply chain management. Simulation provides value for what-if analysis and allows for accuracy of over 90% and changes can be made to factors like equipment or supply chain redesign. The novelty in simulation is its complexity and its ability to be stochastic. AI can help accelerate the development of simulations and can be integrated with outside applications like optimization algorithms. Eventually, AI models may be able to decipher ambiguous requirements and build solutions. Reinforcement learning can also help simulations learn from past mistakes and adjust behavior for better decision-making.
💡 Simulation provides value for what-if analysis and allows for accuracy of over 90%.
💡 AI can help accelerate the development of simulations and can be integrated with outside applications like optimization algorithms.
💡 Reinforcement learning can also help simulations learn from past mistakes and adjust behavior for better decision-making.
