Order throughput time, also known as order lead time, is an important performance indicator for the efficiency of production and logistics processes. It describes the total time required to process an order from entry to completion and is derived from the partial times of the tangential functional areas and workstations.

The order throughput time can be divided into physical and IT processes. Physical operations include all steps associated with the actual processing and manufacture of the product, such as material procurement, production, assembly and packaging. Information technology operations, on the other hand, refer to the collection, processing and transfer of data and information related to the order, such as order entry, planning and control.

Effective optimization of order throughput time requires a holistic view of the processes as well as targeted identification and elimination of bottlenecks and delays. This can be achieved through various measures, such as improving production planning and control, reducing waiting times and downtimes, automating processes and optimizing transport and warehouse logistics.

By reducing order throughput times, companies can shorten their delivery times, improve their responsiveness to customer inquiries and optimize stock levels. This not only helps to increase customer satisfaction, but also to reduce operating costs and increase competitiveness.

Overall, order throughput time is a decisive factor for the efficiency and competitiveness of companies in production and logistics areas. By continuously monitoring, analyzing and optimizing this indicator, companies can increase their performance and ensure long-term success.