Chapter 10 Case studies: Supply Chain
Chapter 10 of The Rise of Artificial Intelligence discusses supply chain optimisation and how Artificial Intelligence can be leveraged to tackle complex supply chain problems, ranging from improving the accuracy of demand forecasts and optimising inventory levels, to creating schedules that are optimised for various constraints and objectives.
At the highest level, these are the core components of a supply chain operation: predicting demand, planning and scheduling production (whether it be the production of iron ore from a mine or the assembly of cars in a factory), and then organising logistics and distribution. Each component represents a complex business problem in itself, and together, an almost impossible challenge for humans to solve. This is where leveraging Artificial Intelligence can optimise decision-making across a variety of supply business functions.
