Estimation of Heavy Trucks Fleet Size for Alrosa

Estimation of Heavy Trucks Fleet Size for Alrosa

Simulating the transportation of diamond ore from open-pit mine to AC Alrosa’s processing plant. The model considers many factors such as road pavement quality, slopes and location of trucks stop and overtaking points, etc. The model was used to determine the number of trucks required depending on model of truck, speed and average availability factor of a truck.

Period: August 2016 – September 2016
Industry: AMining
Client / Partner: Alrosa / Ernst & Young

Project objective

Simulating the transportation of diamond ore from open-pit mine to AC Alrosa’s processing plant to determine the number of trucks that meets planned production indicators

The main stages of work and characteristics of the model

  • Development of the brief functional specification of the simulation model
  • Development and testing of the model on the AnyLogic 6 platform
  • Verification and validation of the model in cooperation with Ernst & Young consultants

Model input data

  • Information about road net including loading and unloading points, parking and maintenance places, auxiliary links for passing points
  • Technical characteristics of trucks (truck capacity, speed of transportation, etc.)
  • General parameters of transportation system (number of trucks, number of loading and unloading point, etc.)

The main structural elements of the model

  • Input data file of scenario in MS Excel format
  • Simulation model with interactive presentation
  • Data aggregation module that allows to generate MS Excel files with the simulation results

Model output data

  • Transported ore by months
  • Average technical speed of cargo transportation along a route
  • Truck time utilization, actual transportation units utilization considering average availability factor of a truck
  • Volume of consumed fuel for each truck and for the system in general

Project result

The model was used for scenario analysis that allowed to determine the effective number of trucks required depending on model of truck, speed and average availability factor of a truck for several variants of transportation fleet configuration