Companies face complex challenges when new or modified processes are to be implemented in production and logistics buildings for different locations in the network: They have to make future-oriented decisions on service, capacities and costs while considering known key figures as well as dynamic effects. Against the background of enormous investments, we recommend companies to simulate and virtually optimize the effects of the planned processes with state-of-the-art software solutions before they are implemented, according to the motto "The proof of the pudding is in the eating".
While classic logistics planning examines corresponding volume and load flows and evaluates them in terms of design size, agiplan goes one step further with network simulation: Using this method, we create a virtual model of the existing or future system, with which we experiment and draw appropriate conclusions about the actual or future overall system.
In order to identify long-term effects of different network strategies, large amounts of data must be simulated. Network simulations are used macroscopically. For example, agiplan examines the interaction of different locations or distribution to regional and/or global customers.
Example: A logistics chain is in place to supply an assembly line. This begins with the supplier, who transfers the parts to a logistics service provider for repackaging and separation of the parts. The logistics service provider then delivers the parts to plant logistics for fine distribution and JIS delivery. A model maps this chain, e.g. starting from the assembly order sequence. Using a network simulation, agiplan can evaluate the following questions:
Logistics simulation model to create a proposed solution for eliminating truck backlogs.
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