MANAGEMENT OF PERSONNEL BEHAVIOR IN QUEUING SYSTEMS AT MOTOR TRANSPORT ENTERPRISES THROUGH THE USE OF PERSONNEL TECHNOLOGIES

Abstract

A modern economy is not possible without infrastructure and an efficient transportation system. Trucking companies engaged in freight operations must have a queuing system in place to operate effectively. The main resource of any enterprise is staff. The queuing system does not work on its own; it is created, managed and implemented by people. That is why the author has focused on personnel management. The author identifies the main characteristics of transport products and investigates how the behavior of employees of different categories influences the characteristics of transport services. Also, the article presents the results of studies of the basic characteristics of staff behavior during cargo transportation and distinguished from them four groups: personal, business, productive, professional. Based on these indicators, the factors of primary, secondary priority and ancillary influence were identified by the expert method. In the study of queuing system on the example of existing enterprises the probability of increase of flows (orders) at manifestation of this or that character of the behavior of the employee (in finding that with the due date for the performance of work, unpredictable transport tasks (elimination of breakdowns on the road, replacement of auto parts, etc.) – is the main criterion for effective behavior of the driver). Based on the more efficient ones, staff technologies have been built to help increase orders. The proposed system is based on mathematical calculations. It becomes clear that the calculations can be made using the appropriate software. That is why, for practical application of the proposed theoretical developments, the author proposed an algorithm for the operation of such a program. When conducting research and evaluating the impact of the analyzed criteria, a mathematical apparatus of game theory and multi-channel queuing systems with a limited queue size was used, and a graphological method was used to construct the software algorithm. The efficiency and feasibility of employing technology personnel are proving practical calculations – the main indicators of queuing system have a positive trend. This allows the authors to argue that the proposed personnel management system using technology personnel not only contributes to the optimization of the enterprise, but also has a significant effect.