Towards An Efficient and Standardized Warehouse Optimization Strategy : An Automated Performance Analysis Model

This thesis explores the development of an operational-data-driven performance analysis model for warehouse optimization, addressing inefficiencies faced by 4Supplychain Consulting. The model aims to automate warehouse performance measurement, the identification of optimization opportunities, and proposing a narrow scope of optimization measures. It explores a semi-automatic KPI-selection of indicators assessable with WMS-data. Through the integration of a new perspective on activity profiling: performance profiling, the steps of internal benchmarking and justification with statistical analysis, the model provides actionable insights in performance optimization. The case study at AG Logistics demonstrates the model's capability to enhance productivity in order-picking activities. The results highlight significant improvement potentials and underscore the practical value of the model for both consultancy and operational management in the logistics sector.