Analysis of the efficiency of snow brush train operation with mapping

Abstract

Optimization of the work performance of snow brush trains, being a serious problem in snow removal, can be achieved by using mapping. The paper provides insight into the productive time and time losses of snowplow trains. The main objective of the study is to determine the unproductive time losses of the SM-2 series snow removal train using mapping.
The following research methods are used in the work: experiment, analysis using mapping, synthesis, induction and deduction. The work consists of three parts: collecting data when conducting an experiment in a production environment; construction of flow maps of the value of the work of the current and target states; comparative analysis of maps, proposing corrective measures to minimize wasted time; conclusions.
An analysis of the value creation maps of the snowplow train operation showed that 67.5 % of the total time losses are accounted for by technical and organizational operations. And the latter make up the majority. It has been established that the planned amount of snow can be removed in one cycle, but the team makes 3 incomplete trips. Thus, useful time is additionally spent waiting, transporting, loading and unloading in the amount of 396 minutes. Technical failures are justified by the operating time of the machine more than 90 % of the designated service life, taking into account its extension.
The use of mapping made it possible to identify problem areas in the technology of snow brush trains and formulate a scientific problem. Corrective measures are proposed to solve the identified problems.