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Strict adherence to time windows when calculating
Compliance with the operating mode of drivers
Compliance with restrictions on the weight, volume and dimensions of the cargo
Key features
Optimization of operating time, mileage, route cost
Minimizing the number of vehicles used
Calculation of problems with violation of parameters and their minimization
Complete list of features
  • Cargo parameters
    Cargo parameters which are taken into account during calculations:
    • Weight
    • Volume
    • Size
    • Type (cargoes of several types may be incompatible)
    • Types of optimization
      RAST has several types of optimization:
      • By time
      • By run
      • By complex objective function
      Objective function alows you to simulate different logistics models
      • Time windows
        Calculate tasks with time windows of different size for any number of orders
      • Multiple warehouses and routes
        Calculate lots of routes from several warehouses with a binding transport to specific warehouses or without it
      • Operational mode of the drivers
        Determine the start and end time of the working day. Set the duration of the working day for drivers. Assign breaks without binding them to a specific location
      • Combined tasks
        Calculate routes with simultaneous uploading and unloading in one route. Bind the send address to the receiving address
      • Several days planning
        Plan your routes for a few days ahead with possibility to choose the optimal day to serve the orders
      • Multiple routes for one vehicle per day
        You may calculate such a route when one vehicle returns to its base for several times per one working day
      • Violation of parameters
        Calculate your tasks with strict adherence to input parameters or with their violation. You may set the parameters which DML can violate during calculation (such as time windows, working day, overload etc.)
      • Manual planning
        If you don't like calculated routes, you may change them manually

      Economic Effects
      Get significant economic effects when using RAST
      • Automate Planning Process
        Reduce the time spent on planning and the number of staff involved. Planning will take only a few minutes
      • Reduce Delivery Cost
        Using RAST, get optimal delivery routes. Quality of routes will increase by 10% or more
      • Improve Your Logistics
        You will be able to implement new delivery schemes that were previously unavailable due to the complexity in planning
      • Take Care of Your Customers
        Increase the satisfaction of your customers by the quality of delivery, making delivery convenient for them

      Industry solutions
      RAST may be useful for industries listed below
      Transport companies
      Retail and e-retail companies
      Courier and postal companies
      Transport and logistics divisions of enterprises
      Distribution companies
      Cash collectors
      ... and many others
      Case Study
      Case 1
      Reduction of empty run in combined cargo delivery problem
      Case 2
      Increasing the efficiency of the delivery service in the context of minimizing the violation of parameters
      Case 3
      The study of different logistics schemes and the rationale for introducing one of them
      Case 1
      Reduction of empty run in combined cargo delivery problem

      Manual calculation of customer

      489 vehicles used

      Calculation with RAST

      396 vehicles used

      Manual calculation of customer

      462 621 ml. of empty run

      Calculation with RAST

      317 500 ml. of empty run

      The customer set a task to investigate the possibility of reducing idle mileage in the transportation of dairy products between large transport hubs, in which large-scale transport is involved.

      Planning was carried out for 2 weeks ahead.

      In the calculations, the RAST redistributed the workload so that in the body of one vehicle instead of one or two orders, as before, there were an average of 4 or more orders simultaneously.

      The reduction is:
      93 vehicles (or 19%)
      145,121 miles (or 31%)

      Case 2
      Increasing the efficiency of the delivery service in the context of minimizing the violation of parameters
      Manual calculation of customer
      Reduced transport working time - 27%
      Reduced total run - 36%
      Reduced total lateness - 89%
      Reduced the maximum delay - from 3 hrs to 2 mins

      For a large cash collection company, the tasks of daily and strategic planning were calculated.

      The main goal was to reduce the total and maximum delay to customers.

      Parameters of the daily planning task:

      35-40 points in one route
      400 points in total
      1 hour or less time windows
      Case 3
      Research and rationale for the introduction of logistics schemes
      Customer expenses
      Decoupling points from fixed routes - 20% reduced cost
      Using multiple routes - 21% reduced cost
      Using additional optimization algorithms - 37% reduced cost
      Strategic planning with choosing of day when each order must be executed - 45% reduced cost

      In this case, a study of the effectiveness of the company's current business processes related to delivery was conducted, as well as analysis of prospective delivery schemes.

      The following schemes were investigated:

      Unbinding of points from fixed routes in the current scheme
      Application of multiple routes for one vehicle per day and additional optimization
      Strategic planning for two weeks ahead with the selection of the optimal day for fulfilling orders
      Contact our team
      The smartest people work every day to provide the best service and to make our clients happy
      • Oleg Puzyreff
        VP of Strategy
        Skype: Oleg Puzyreff
      • Valeriy Ilyukh
        Director of Technology
        Skype: Valeriy Ilyukh
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