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Warehouse simulator recognised by logistics industry

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September 13th, 2012

Warehouse simulator recognised by logistics industry

Yale’s recently released warehouse simulation program has received a finalist award at the highly regarded Logistics and Material Handling Mercury Awards. The award was in the ‘Materials Handling Solution’ category and was presented at the annual presentation night in Sydney on the 6th September.

The Yale® warehouse simulator is an extremely accurate software program designed to provide operators of medium to large warehouses with a sophisticated consultancy solution. It can show how a particular forklift fleet in a particular warehouse scenario will perform and provides a platform for trying out different approaches and strategies for a warehouse operation.

The program uses the same simulation ‘engine’ used by major European airports, leading rail infrastructure companies and other blue-chip organisations.

The input interface breaks down the sections of the largest warehouse into atomic parts including marshalling, parking and staging areas, the exact type of racking, storage and the fleet to be used.

Over 100 different models of Yale forklifts are used so the customer can see the impact of different forklift types and performance issues such as forklift speed. Racking and storage variables include; selective, double-deep, block-stack, drive-in and staging/marshalling, while goods flow scenarios include in/out-bound flow and frequency, order-picking and replenishment, and wave and batch picking.

Customers can experiment with different layouts, racking configurations and timings and overlay with different forklift options like reach trucks. They can they see a visual representation of all scenarios in 2D and 3D as well as analyse data using graphical results and charts. It will also provide indicative cost information.

The simulation won’t provide the ultimate answer, but the results can be used to make informed business decisions. The results obtained from running a simulation include:

  • Time spent handling loads
  • Idle/utilisation times
  • Utilisation of staging areas, racking and doors/docks
  • Hourly flow rates into and out of racking, staging areas and docks/doors
  • Visual indication of bottlenecks
  • Energy consumption and indication of battery charging and changing