Anwendung von Lean-Prinzipien auf das Bestandsmanagement am Beispiel eines Sondermaschinenbaubetriebes

Abstract

This thesis examines the application of selected lean methods to optimize inventory management in special-purpose machinery manufacturing, using the example of Next Generation Recyclingmaschinen GmbH (NGR). The starting point is the central challenge of ensuring high delivery reliability while maintaining the lowest possible capital commitment through inventory, despite a high product variety and customer-specific configurations. The motivation for this study arises from the need to manage inventories more transparently, flexibly, and economically in order to remain competitive in the long term. The aim of the thesis is to derive practical recommendations for the implementation of lean tools such as Just-in-Time (JIT), KANBAN, and Vendor Managed Inventory (VMI). The analysis is methodologically based on a combination of classical classification tools such as the ABC, XYZ, and GMK analysis to enable a differentiated evaluation of the material structure. Building on this, concrete examples of items and assemblies are examined to assess the applicability of lean methods in a make-to-order environment with high product variety. The theoretical foundations are drawn from expert literature on lean philosophy, inventory management, and supply chain management, and are linked with practical data from the company. The results show that standardized assemblies with high reusability are particularly suitable for justin-time supply, while C-parts with consistent consumption can be efficiently managed using a KANBAN system. For high-value A-parts with predictable demand, the VMI concept offers potential for closer integration of suppliers into inventory responsibility. Key success factors include targeted piloting, a coordinated IT architecture, and mutual trust between partners. The thesis concludes that lean methods can also be effectively implemented in the complex environment of special-purpose machinery manufacturing—provided that item structures are systematically evaluated, and concepts are introduced step by step. In the long term, additional optimization potential can be achieved through digital solutions, supplier integration, and data-based forecasting models, thereby strengthening delivery performance and reducing inventory levels.

Date of Award	2025
Original language	German (Austria)
Supervisor	Roland Braune (Supervisor)