What is the Talumis simulation approach to your problem

Manufacturing, distribution and information systems are getting more and more complex. In most cases the interaction between parts of the system is not visible and certainly not easy quantify. In order to optimize these systems you must understand the dynamics of the system.

The TALUMIS approach to optimize is to focus on the dynamic interaction between parts of the system. We call this approach the “Queuing & Bottleneck analyses”. Every system, whether it is business processes, manufacturing or distribution logistics, has a dynamic behavior over time that cannot be described with averages. In general the bottleneck will shift over time, so the solution is not straightforward to obtain.

The “Queuing & Bottleneck analyses”consist of the following steps to optimize a system:

• describe the behavior of system parts or processes
• analyze the relations between the parts or processes of the total system
• retrieve relevant process data (process times, arrival rates, failure rates etc.)
• create a dynamic model of the complete system
• analyze the behavior of the total model
• create optimization scenarios based on the gathered insight
• quantify the scenarios to obtain the optimal solution

The key issue in the “Queuing & Bottleneck analyses”is to obtain results over time. To visualize and understand the results we mainly use queuing graphs, Gantt charts and utilization pies. We also support the analyses by visualizing what happens in reality; either in full 3D animation or in schematic results. The insight gathered from these results is 90% of solving the problem.