Shorter implementation times, higher system performance

Simulation models can test new systems or expansions in intralogistics even before commissioning in order to optimize the dimensions and throughput times of the system or individual parts of it. The new simulation software from Klinkhammer specifically evaluates critical performance limits or the influence of changed storage and retrieval strategies, for example. It is currently still an internal tool for shortening commissioning times, testing optimum material flows and verifying programming. In the future, the simulation tool is to be further expanded in order to be able to simulate and optimize the entire system under new conditions as early as the planning phase or when intervening in existing systems.

Easy-to-use web application

The provider has developed the software as a cloud-compatible web application. It is easy to use, only requires any browser, is independent of the operating system and runs reliably on all end devices. Visual views and a new graphical interface make it easier to understand complex process sequences. The simulation is independent of the warehouse management system, but can also be used as a virtual system in conjunction with the Klink-Ware warehouse management system. This makes it possible to check the productivity of intralogistics, verify the warehouse management system and increase programming quality. Another plus point: the new simulation software provides a virtual image of the control technology and simulates the sensor and actuator level of the logistics system in order to test it in advance and shorten the commissioning times of the system.

Simulation of various scenarios

In addition to technical and conceptual aspects, Klinkhammer can also use the software to check processes from incoming goods through storage and transportation to outgoing goods. Before a warehouse is commissioned, the material flows of a system are analyzed; this uncovers potential improvements or bottlenecks. In addition to the integration of logistics systems, the fluctuating performance of picking and packing employees at the workplace is also simulated, for example. The aim is to optimize performance, shorten project times, improve system quality and identify fluctuations in the system's behaviour in response to changing influencing factors. For this purpose, the number of orders is varied, the structure and positions of the orders are changed, regularly occurring peak values are assumed and the resulting behaviors are displayed. Scenarios can be tested during sequencing in order to bring customer orders to the packing stations faster in a certain order and to fill cartons more quickly without losing time.

Hall 1, Stand D50