Abstract: A system for maximizing utilizations of medical equipment in a medical facility, including a server configured to receive a medical service station data comprising a quantity of queued people and the medical equipment usage data in the medical service station; and a first stop service station data comprising a quantity of waiting people and the medical equipment usage data in the first stop service station. The server is further configured to classify, by employing a supervised learning classifier, whether or not to first service a user in the first stop service station using the medical service station data and the first stop service station data, so to maximize the probability of continuous utilizations of all medical equipment and to minimize the user's queuing time in the medical service station and waiting time in the first stop service station.

Abstract: The present disclosure provides a method for queuing and a related electronic device. The method for queuing in the present disclosure includes: receiving user data of a user; receiving a current serial number and a quantity of queued people of a service station; determining a queuing time based on the current serial number, the quantity of queued people, and a serial number of the user data; receiving a quantity of waiting people of a first stop in response to a first demand value of the user data being true; determining a first waiting time based on the quantity of waiting people of the first stop; and transmitting a first signal of going to the first stop to the user, and queuing the user in a queue of the service station and a queue of the first stop, in response to the first waiting time being less than the queuing time.