logistic operating curves

In many companies the performance measurement system has become confusingly complex. Therefore efficient production control and identification of potentials for improvement are not possible. The solution is a lean and customized production performance measurement system. Based on success factors KPIs are developed. These indicators allow it to visualize complex issues in a transparent way. The result is a tool, which helps organizations to plan, monitor, control and improve their performance.

In an increasingly turbulent environment, today enterprises are confronted with the challenge of aligning available capacities with the capacities required using targeted measures. An approach is presented to support the selection of measures quantitatively.

environment poses huge challenges to production enterprises, especially with regards to logistics. The Logistic Operating Curve Theory, developed at the Institute of Production Systems and Logistics (IFA), is a recognized approach to describing logistic interactions, nevertheless, it reaches its limits when it comes to the dynamic aspects. In order to facilitate a timely and optimal Logistic Positioning a method is developed for quickly and reliably identifying dynamic processing states.

Due to the complexity of the interdependencies in enterprise logistics, manufacturing companies often have difficulties in meeting their logistic objectives. They struggle to take measures that effectively influence their logistic performance. The Institute of Production Systems and Logistics (IFA) is developing illustrative models that describe and quantify the logistic interdependencies. The models form a basis for strategies and procedures, with which manufacturing controls can control the interdependencies.