OPTIMIZATION OF LABOR COST STANDARDS FOR WORKERS IN HARDWARE PRODUCTION
The article presents the results of a study aimed at determining the optimal number of workers engaged in hardware production in multi-unit service conditions, using the theory of queuing. Questions of applying the theory of queuing in the rationing of workers in mechanical engineering are reflected in the literature. As a rule, all of them are considered as systems with waiting for service, i.e. “lossless” systems. The relevance and novelty of the research are in the fact that based on the requirements of technology and statistical characteristics of the service process, the type of system - the system with losses - is justified using the appropriate mathematical apparatus of the queuing theory. The task is formulated as follows: it is necessary to determine the numerical composition of the team of remelters, which provides under normal conditions of operation of the furnaces the least probability of delay in performing the main operations for servicing the group of furnaces. In this case, the minimum probability of delay in performing the next operation can be taken as a criterion for the efficiency of the service system. This task is complex, multi-variant, and requires the use of mathematical methods. The authors presented a methodology for using the queuing theory to develop optimal population norms based on the example of alloy melting processes in gas reflecting furnaces, and the results of calculations of indicators for the functioning of the service system for melting furnaces by a team of workers in multi-unit service conditions.
Keywords: queueing theory, rationing of labor, multi-component services, rate of population, the criterion of optimality.
Highlights:
♦ features of hardware processes, in particular, melting of aluminum alloys in gas reflectant furnaces of the process are revealed;
♦ the operating map of the furnace maintenance process is presented;
♦ the method of using the queuing theory to develop optimal population norms is presented using
the example of melting processes of alloys in gas reflecting furnaces;
♦ the indicators of the functioning of the service system for melting furnaces by a team of workers
of various composition are calculated.
Vadim A. Shchekoldin, Candidate of Economics, Professor; Irina V. Bogatyreva, Candidate of Economics, Associate Professor; Larisa A. Ilyukhina, Candidate of Economics, Associate Professor - Samara State University of Economics.