Goals

The main goal of the research project is to develop a methodology for describing systemic dynamic interdependencies within order picking systems. The methodology will be developed to be as realistic as possible and effortless as possible. It will use so-called operating curves of logistical parameters with uncertainty bands.

To achieve the main goal, the development of a procedure model for the application of the methodology and its transfer into a demonstrator are defined as subgoals. The demonstrator is to be used to generate operating curves and quantify the uncertainty in dynamic order picking systems.

In order to achieve these objectives, it is first necessary to establish the theoretical and empirical foundations. This includes a criteria- and influence variable-based system for classifying manual and automated order picking systems to develop representative reference models for order picking. The subsequent results will be evaluated through the implementation of a Delphi study. The implementation of executable simulation models for the reference models will be carried out in close collaboration with the development of a taxonomy for statistical models for operating curves formation. Empirical analyses are conducted to determine fundamental systemic interdependencies for the reference models, leveraging taxonomy and the simulation models. The empirical foundations encompass the formation of operating curves, the determination of systemic interdependencies, and the identification of the optimal operating points for the evaluation of planning alternatives. The research results obtained are incorporated into the development of a process model and the formulation of checklists and rules for application and interpretation. Furthermore, the methodology will be implemented in a software-based assistance system demonstrator, which will also form the basis for a case study-based evaluation.