Glossar

Process optimization involves the systematic analysis and improvement of existing processes with the goal of increasing efficiency, quality, and cost-effectiveness. This involves adapting processes to make better use of resources, reduce errors, and shorten lead times.
In logistics, process optimization is increasingly based on digital data, automation, and intelligent analytics. Systems such as DWS, WMS, and TMS provide valuable information on material flows, utilization rates, and process times. Through the use of sensor technology, artificial intelligence, and automated controls, bottlenecks can be identified and workflows continuously improved. Targeted process optimization contributes to greater process reliability and improved adaptability of logistics systems.

Practical example:
A logistics center analyzes data from its conveyor and measurement systems, identifies bottlenecks in the material flow, and adjusts process control accordingly.

See also: Automation, Data Analysis, DWS, Artificial Intelligence (AI), Material Flow, Process Automation, Process Reliability, Sensor Technology