Stochastic Modelling in Production Planning

Methods for Improvement and Investigations on Production System Behaviour

  • Alexander Hübl

Table of contents

  1. Front Matter
    Pages I-XV
  2. Alexander Hübl
    Pages 1-7
  3. Alexander Hübl
    Pages 9-21
  4. Alexander Hübl
    Pages 37-85
  5. Alexander Hübl
    Pages 87-107
  6. Alexander Hübl
    Pages 109-120
  7. Alexander Hübl
    Pages 121-122
  8. Back Matter
    Pages 123-139

About this book


Alexander Hübl develops models for production planning and analyzes performance indicators to investigate production system behaviour. He extends existing literature by considering the uncertainty of customer required lead time and processing times as well as by increasing the complexity of multi-machine multi-items production models. Results are on the one hand a decision support system for determining capacity and the further development of the production planning method Conwip. On the other hand, the author develops the JIT intensity and analytically proves the effects of dispatching rules on production lead time.


  • Utilisation Concept
  • Capacity Setting Methods
  • Conwip
  • Dispatching Rules

Target Groups

  • Researchers and students in the fields of logistics and operations management
  • Practitioners in production planning, logistics, capacity planning

The Author

Alexander Hübl holds a PhD in logistics and operations management from University of Vienna, Austria. He leads the research group Supply Chain Planning at the department Logistikum at the University of Applied Sciences Upper Austria. His research interests include discrete event simulation, agent-based simulation, queuing theory, stochastic modelling and their applications in logistics and operations management.  ​


Hierarchical Levels Master Planning Demand Planning Scheduling Performance Indicators

Authors and affiliations

  • Alexander Hübl
    • 1
  1. 1.LogistikumFH OÖ SteyrAustria

Bibliographic information