3D Performance Simulation
We can clone factories, logistics networks and warehouses using 3D discrete event modelling software.
Sometimes buffers (such as conveyors, tanks and silos) are required to create a particular operating and performance outcome for a factory. In these situations it is important to ensure that buffer sizing and location is as accurate and streamlined as possible to minimise asset costs while achieving the business outcome.
Also existing 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.
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.
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.
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.