Project structure

The LOCsGEN research project is comprised of a work program consisting of six work packages. First, relevant influencing variables and logistical parameters are identified based on classifications of order picking systems. Subsequently, reference models are derived and evaluated (1). These reference models are then converted into executable simulation models, verified, and validated (2). The development of models occurs in conjunction with the development of taxonomy (3) to ensure the targeted development of statistical models for operating curve formation. The taxonomy is employed to select appropriate statistical models for operating curve formation and to quantify uncertainties in the form of prediction intervals. The categorization of typical combinations of influencing and target variables in order picking systems is a key aspect of the study, and the assignment of suitable statistical prediction models (e.g., generalized linear models or generalized additive models) to these combinations is a secondary but crucial element.

The developed taxonomy serves as the foundation for the subsequent determination of logistical operating curves for the simulation models created. This process is accompanied by the analysis of systemic relationships (4). To this end, the system is configured to vary its load in each interval, and the effects on different logistics parameter combinations have been determined for the models. Stochastic uncertainties are also considered in the analysis.

Consequently, a procedural model for generating operating curves has been formulated. Furthermore, a demonstrator has been developed for the practical application of the methodology that has been developed (5). Finally, a case study-based evaluation of the methodology and an analysis of its applicability in various planning tasks over the life cycle of order picking systems is carried out (6).