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Author: Ivan Bitunski

  • MECHANIZATION IN AGRICULTURE

    Determining the service parameters of a model with an unlimited incoming flow of requests for a Class tractor

    • Ivan Bitunski
    Mechanization in agriculture & Conserving of the resources, Vol. 67 (2023), Issue 6, pg(s) 177-180
    • Abstract
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    The parameters of an agricultural machinery workshop with an unlimited incoming flow of repair-service requests have been studied. As a result of each research experiment and the obtained change values of the calculated service parameters, the character of their change depending on the number of channels serving the tractors was calculated. The change values of the calculated parameters depending on the number of service channels are reflected in a table and graphically presented.

  • MECHANIZATION IN AGRICULTURE

    Mathematical model for optimization of the parameters of a service center for repair service of “Klaas” tractors

    • Ivan Bitunski
    Mechanization in agriculture & Conserving of the resources, Vol. 67 (2023), Issue 6, pg(s) 175-176
    • Abstract
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    With the help of the parameters characterizing the work of the service for mobile equipment, a quantitative assessment of its activity can be made. Therefore, their knowledge and determination are of particular importance. In order to optimize the parameters of the service, we formalize its operation as a mass service system (MSS).
    In the stationary state of the service, the formulas for determining its individual parameters are derived.

  • CONSERVING OF THE RESOURCES

    Methodical approach to determine the gamma-percentage resource of aggregates and units of forklift trucks

    • Ivan Bitunski
    • Miho Mihov
    Mechanization in agriculture & Conserving of the resources, Vol. 67 (2023), Issue 3, pg(s) 105-108
    • Abstract
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    Increasing the efficiency of machine usage for transport services in agricultural holdings can be achieved by creating stocks of aggregates and units in company warehouses based on a predetermined gamma-percentage of available resources.
    This study proposes a methodical approach to determine the 80% of gamma-percentage resource for forklift elements, considering both known and unknown distribution laws for their resources. It includes truncated and repeatedly truncated samples.
    The results obtained from this study can be utilized for planning purposes and establishing stock levels to ensure the operational readiness of Bulgarian forklifts.

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