AI in Supply Chain and Logistics

It is very easy to organize the various requirements and deadlines using traditional planning techniques, such as material requirements planning and its derivatives. They create a plan or schedule that seems logical and might actually function by applying a fixed logic to the vast amount of data. A typical computer-generated plan, however, may include elements that are unrealistic or outright impossible, such as having a work center commit to three or four times the amount of production that it can complete in a day. This is something that any experienced planner will tell you. The latest generation of so-called advanced planning and scheduling (APS) software, which trades off priorities and alternatives instead of using fixed logic to build a more workable plan that balances resources and material dates and amounts, overcomes many of these restrictions.