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Evaluation and prediction of machine performance in low-volume reduced works

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dc.contributor.author Kokieva G.
dc.contributor.author Voinash S.
dc.contributor.author Sokolova V.
dc.contributor.author Nuretdinov D.
dc.contributor.author Alekseeva S.
dc.contributor.author Taraban M.
dc.contributor.author Zatenko S.
dc.date.accessioned 2022-02-09T20:32:43Z
dc.date.available 2022-02-09T20:32:43Z
dc.date.issued 2021
dc.identifier.issn 0094-243X
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/168897
dc.description.abstract Specialized machines used in the construction and maintenance of electrical networks, communication lines, road structures, in greening farms, etc., spend a lot of time moving from object to object, and the less the amount of work on each of them and the greater the distance between them, the lower the performance of these machines. Meanwhile, the problem of increasing the efficiency of machines and means of mechanization in construction is closely related to an increase in their technical and operational productivity. This determines the relevance of accurate assessment and prediction of the performance of construction machines when performing small dispersed volumes of work. This article provides a refined assessment and forecasting of shift productivity when performing small dispersed volumes of work, which can improve the accuracy of operational planning and work rationing and reduce to a minimum intra-shift machine downtime.
dc.relation.ispartofseries AIP Conference Proceedings
dc.title Evaluation and prediction of machine performance in low-volume reduced works
dc.type Conference Proceeding
dc.relation.ispartofseries-volume 2402
dc.collection Публикации сотрудников КФУ
dc.source.id SCOPUS0094243X-2021-2402-SID85120491571


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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