3D Performance Modelling

Replicate the complex behaviour of a system using a digital 3D model

We can clone factories, logistics networks and warehouses using 3D discrete event modelling software.

Factory Modelling

High speed, high technology production lines consist of a series of workstations with differing equipment capacities, buffer sizes and buffer positions. This can make it difficult to identify the most powerful performance leverage points in a line.

In these situations, we use discrete event simulation software to dynamically model a process so that performance and productivity benefits can be confirmed before committing cash or resources.

Here’s a very small (to protect client confidentiality) excerpt from a dynamic model.

Using dynamic factory modelling we can;

  • Identify constraints and performance opportunities within complicated flow-line operations.
  • Define optimum buffer levels between processes.
  • Determine constraints caused by resources such as forklifts or employees.
  • Enable design verification prior to capital expenditures.
  • Enhance decision making, particularly in relation to buffers.
  • Reduce the risk of costly design mistakes by running what-if scenarios.

Logistics Modelling

Sometimes a business must consider options for re-configuring a supply system and this redesign often involves changing the location of manufacturing facilities or warehouses relative to customers.

Small differences in location may constitute large changes in cost and time and this can have a huge impact on total Cost-To-Serve and customer service. Often, the only way to demonstrate this properly is to construct a simulation model showing truck movements.

We use the discrete event simulation software to simulate truck movements for different warehouse and supply facility location alternatives.

Warehouse Modelling

Warehouses can include very complicated interactions between material handling equipment such as conveyors, robots, and forklifts. In these situations the cost of running a warehouse facility is determined by the way employees (such as pickers or forklift drivers) interact with the equipment.

Often the only way to identify optimum layout and minimise running costs is to model the warehouse system using a computer model.

We discrete event simulation software to model a warehouse system and show what-if scenarios for different equipment and employee configurations.