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Production Process & Logistics Simulation 

 

Intralogistics Simulation  Service

 

 

Theoretical throughput looks sufficient, but actual performance falls short

 

A single machine may meet its rated capacity, but the overall system may still fail to reach the target output

Stations, buffers, cycle times, and material transport are not well aligned.

 

Local feasibility does not guarantee smooth system-level operation. Blocking, waiting, and idle resources may still occur.

Planning decisions rely too heavily on individual experience

 

Cross-functional reviews often become difficult when teams lack a shared, data-based decision foundation.

Local improvements do not always improve overall performance

 

An isolated optimization may shift bottlenecks or create new system imbalances

Risks are exposed only after implementation

 

On-site adjustment usually means higher cost, longer lead time, and greater project risk

Several options look reasonable, but it is hard to decide which one is better.

 

Without dynamic simulation, investment decisions often rely on subjective judgment rather than system-level comparison

Common Challenges We Help Address