Abstract: Techniques to facilitate adaptive optimization and control of flotation cell processing are disclosed herein. In at least one implementation, a computing system receives a plurality of flotation cell process variables associated with a flotation cell process. The flotation cell process variables are fed into a machine learning model associated with the flotation cell process to determine improved settings for the flotation cell process. The improved settings for the flotation cell process are provided to an industrial controller that controls at least one aspect of the flotation cell process to improve the flotation cell process.

Abstract: A programmable logic controller driven inventory control system for use with a pick or assembly line. The programmable logic controller may be configured to interface with and control the various components of the pick line and inventory control system, as well as to interface with a computer system containing inventory databases. The programming of the programmable logic controller and, hence, operation of the inventory control system and pick line may be altered in real time during operation.