Strategies for optimizing single-channel mass service system with non-stationary input flow

Abstract

The paper considers models of single-channel queuing systems, as well as methods for evaluating their efficiency under various operating conditions. A program has been developed that allows modeling the functioning of a single-channel system with a non-stationary input flow and random service time. Its use makes it possible to take into account the dynamics of changes in the intensity of the input flow over time and to choose a specific optimization strategy, taking into account the specifics of the system, in particular, its intended purpose, technical capabilities, and economic constraints. The results obtained are of practical importance for optimizing the operation of single-channel mass service systems in the logistics industry. Based on these results, recommendations are provided for selecting the optimal system parameters that will ensure the best compromise between service quality and resource efficiency.