Dynamic entity queuing model construction method based on time sequence

Abstract

The invention discloses a dynamic entity queuing model construction method based on a time sequence. The dynamic entity queuing model construction method comprises the following steps of: firstly, acquiring a time parameter set when a customer arrives at a service institution and receives a service; judging a queuing state according to the system queue length Li and the number of service desks; independently acquiring individual queuing state parameters of customers in a non-queuing process and a queuing process; acquiring individual queuing state parameters of each customer and calculating various dynamic change indexes of a queuing system; and carrying out real-time tracking and evaluation on the system operation efficiency and the service level of the queuing system according to the obtained dynamic change indexes. A queuing model constructed by adopting the dynamic entity queuing model construction method can effectively simulate and reveal the dynamic change of the state of the queuing system, and realizes the real-time tracking and evaluation of the operation efficiency and service level of the system.

Description

technical field [0001] The invention relates to the field of random service systems, in particular to a method for constructing a dynamic entity queuing model based on time series. Background technique [0002] The queuing model is a model used to study queuing rules. Many problems in production, economic and social activities can be transformed into queuing problems, so the queuing model covers a wide range. In the field of stochastic service systems, the queuing theory analysis model is a mathematical theoretical model to study the phenomenon of waiting queues caused by the congestion of "demand" in the "service" system and to reasonably coordinate the relationship between "demand" and "service". Classic queuing models such as the multi-service window M / M / C model and many extended models are widely used in traffic control systems, communication systems, environmental systems and production management systems, but the classic queuing models do not consider the actual queuin...

AI Technical Summary

Problems solved by technology

Classic queuing models such as the multi-service window M / M / C model and many extended models are widely used in traffic control systems, communication systems, environmental systems and production management systems, but the classic queuing models do not consider the actual queuing of the service system process, and there is no real-time tracking of the operating efficiency of the service system

Since the classical queuing model cannot obtain the individual queuing state parameters of arriving customers in the queuing system, there are problems that cannot satisfy customers' inquiries about their individual service indicators, and service organizations' evaluation and optimization of their service levels from the perspective of customers

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