Bestandsmanagement und Losgrößenoptimierung zur Senkung der Produktionskosten und Minimierung des Fertigwarenlagerbestandes

Abstract

This bachelor thesis focuses on the integration of inventory management and lot sizing optimization in modern production planning. The aim of the thesis is to highlight the challenges and synergies between these two areas and to develop innovative approaches for improving efficiency and reducing costs. Given the increasing uncertainties in demand and the complexity of supply chains, the simultaneous optimization of these two areas has become increasingly important. The thesis explores various models, including the Stochastic Capacitated Lot Sizing Problem (SCLSP) and the Joint Economic Lot Sizing Problem (JELSP), which help to efficiently manage both production plans and inventory levels. By utilizing scenario-based planning approaches and modern algorithms, the study demonstrates how companies can better utilize their production capacities and simultaneously reduce inventory costs through dynamic safety stocks and flexible lot sizing decisions. Special focus is placed on the importance of model integration, which allows for more robust management of uncertainties. The findings show that implementing these models not only reduces costs but also improves flexibility and responsiveness in production. Case studies from various industries, particularly the automotive and pharmaceutical industries, illustrate the practical applicability of these models.

Date of Award	2025
Original language	German (Austria)
Supervisor	Klaus Altendorfer (Supervisor)