Logistik analysieren und optimieren mit INOSIM   Linking manufacturing logistics to production processes is a complex, dynamical task. A multitude of processes (e. g., supply, delivery, removal) and stakeholders (e. g., production areas, storage systems, transport resources) is involved here. When additional internal and external factores like maintenance times, failures, or deadlocks join the scene, manual management very soon reaches its limits. To handle these complex processes, to accelerate production, and to provide effective, reliable, and efficient logistics, the application of digital forecast systems (design tools) is highly convenient.
Our process analysis supports the strategical examination and design of raw material and product logistics. Right from the start, logistical resources and processes are integrated into the overall production model. To illustrate the complex interaction between logistics and production, the following aspects join the simulation:
  • All areas of a plant with their particular specific logistical options and demands are modeled.
  • Rules for the internal processes in production and logistics are developed and tested by model.
  • Predictable and uncertain influences are analyzed (e. g., regular maintenance and abnormal standstill effects).

To rate the executed simulations runs, a set of benchmark parameters is defined and calculated during the simulation. First the supply service level for internal use and external sales, related to different scenario settings, is taken into account. Further rating of the results is done then, based on operational aspects, e. g., plant utilization, docking frequency, waiting times, or storage levels. Based on this results, the decision process is clearly guided by an authoritative forecast regarding the defined scenario settings.

Thanks to this strategy, our analysis demonstrates the behavior of the existing logistical system, leading to useful and profitable improvements. Typical changes resulting from simulation are:

  • More appropriate allocation of logistical capacities (storage, transport, resources) within the overall production
  • Implementation of required additional capacities in storage and logistics, resp. saving of unutilized capacities
  • A more stable production and an acceleration of material streams

Do you still have questions or want more information? Then please contact us.


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