Retrieved from Vol. 26, No. 3, 2022
Pages 329 -336
Received 09.03.2022
Revised 25.07.2022
Accepted 22.08.2022
Retrieved from Vol. 26, No. 3, 2022
Pages 329 -336
Abstract
The purpose of the research is to develop the main theoretical provisions, methods of forecasting the demand for automobile spare parts. The object of the study is the process of spare parts inventory management in enterprises servicing road transport. Research is carried out on the basis of the function of a mixture of probability distributions, target functions of the warehouse management system of automotive spare parts. Modern methods of providing spare parts are also considered. The task of warehouse management at road maintenance companies is non-trivial and there are often a number of errors due to the fact that the need for spare parts is not always adequately predicted. The low efficiency of this subsystem of maintenance and repair increases downtime of cars, the cost of delivery and storage of spare parts. This in turn reduces the quality of service and customer loyalty to the company, leads to losses from lost sales. The predominant share of spare parts has a stock in the warehouse more than their consumption for three months, which indicates low management efficiency. The analysis of scientific research in this field and their practical implementation has shown the lack of tools in practice to effectively manage inventories at enterprises that service and operate motor vehicles. Taking into account the development trends of the industry, further development of technological processes for the management of service enterprises with new information technologies is required.
Keywords:
spare parts; warehouse management; mixture of probability distributions; demand; mathematical modeling; Poisson's law; motor vehicles