Simulationsbasierte Bestandsoptimierung an den Entkopplungspunkten einer mehrstufigen Fertigung

Translated title of the contribution: Simulation-based inventory optimization at the decoupling points of a multi-level production system

Alexander Manuel Kaiblinger

Research output: ThesisMaster's Thesis


In a multi-stage production system, a systematic optimization of stock levels can have a significant influence on the improvement of various logistical objectives. However, a complex production system and interdependencies between the logistical objectives make it difficult to determine an ideal stock situation. This thesis particularly focuses on the inventory optimization within a multi-stage production system with divergent material flow and a bottleneck control. Moreover, we consider capacity restrictions, stochastic customer ordering behaviour, working time fluctuations, machine malfunctions and supply uncertainties. In the empirical part, a simulation-based inventory optimization of a multi-stage production system is carried out, based on a practical case study. For this purpose, a generic simulation model is conceptualized, validated and verified by using the simulation tool DESMO-J. For this purpose, multi-objective genetic algorithms are used to determine an optimized inventory configuration. Furthermore, the constant adaptation of the input data enables a continuous optimisation of the current stock situation.
Translated title of the contributionSimulation-based inventory optimization at the decoupling points of a multi-level production system
Original languageGerman
Awarding Institution
  • Montanuniversität
  • Zsifkovits, Helmut, Supervisor (internal)
  • Woschank, Manuel, Co-Supervisor (internal)
  • Greisel, Richard, Supervisor (external), External person
Publication statusPublished - 2020

Bibliographical note

embargoed until 07-02-2025


  • multi-objective optimization
  • multi-stage production system
  • stock level optimization
  • simulation based optimization
  • discrete event simulation
  • stochastic optimization problem
  • genetic algorithm
  • decoupling points
  • NRGA
  • NSGA

Cite this