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.
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