Automated warehouse optimization system

摘要

2. In order to optimize specific physical distribution processing scale information associated with processing of the physical distribution order by the physical distribution system for the physical distribution order received in a certain period of time, all devices constituting the physical distribution system are changed over time. In the past physical distribution processing scenario that specifies how to operate, and throughput information, processing time information, power consumption information, delivery completion order number information, and processing that are obtained as a result of operating in the past physical distribution processing scenario. Using the number of personnel required information and at least one of the number of processing items per unit time of special processing target articles including sale items as the teacher data in light of the physical distribution processing scale information combining two or more, Define a physical distribution processing scenario for optimizing specific physical distribution processing scale information in physical distribution processing performance values Model generation means for generating a learned model by machine learning, physical distribution order processing acceptance means for accepting all physical distribution orders within a fixed time, and all the devices for the physical distribution order accepted by the physical distribution order processing acceptance means By a past physical distribution processing scenario acquisition unit that acquires a past physical distribution processing scenario that defines behavior over time, a scale information specifying unit that specifies desired scale information from the physical distribution processing scale information, and the model generation unit. In order to optimize the scale information from the past physical distribution processing scenario acquired by the past physical distribution processing scenario acquisition means and the scale information specified by the scale information specifying means, using the generated learned model. Logistics processing that defines how all devices that make up the logistics system should operate over time And processing means for outputting a Nario.