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Stochastic Modelling in Production Planning

Methods for Improvement and Investigations on Production System Behaviour

  • Book
  • © 2018

Overview

Authors:
  1. Alexander Hübl

    1. Logistikum, FH OÖ , Steyr, Austria

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  • Models for Production Planning?

  • Includes supplementary material: sn.pub/extras

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Table of contents (7 chapters)

  1. Front Matter

    Pages I-XV
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  2. Introduction

    • Alexander Hübl
    Pages 1-7

  3. Literature Review

    • Alexander Hübl
    Pages 9-21

  4. Utilisation Concept for Hierarchical Production Planning

    • Alexander Hübl
    Pages 23-36

  5. Capacity Setting Methods

    • Alexander Hübl
    Pages 37-85

  6. Conwip

    • Alexander Hübl
    Pages 87-107

  7. Dispatching Rules

    • Alexander Hübl
    Pages 109-120

  8. Conclusions

    • Alexander Hübl
    Pages 121-122

  9. Back Matter

    Pages 123-139
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Keywords

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.

Authors and Affiliations

  • Logistikum, FH OÖ , Steyr, Austria

    Alexander Hübl

About 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.  

Bibliographic Information

  • Book Title: Stochastic Modelling in Production Planning

  • Book Subtitle: Methods for Improvement and Investigations on Production System Behaviour

  • Authors: Alexander Hübl

  • DOI: https://doi.org/10.1007/978-3-658-19120-7

  • Publisher: Springer Gabler Wiesbaden

  • eBook Packages: Business and Management, Business and Management (R0)

  • Copyright Information: Springer Fachmedien Wiesbaden GmbH 2018

  • Softcover ISBN: 978-3-658-19119-1Published: 02 August 2017

  • eBook ISBN: 978-3-658-19120-7Published: 26 July 2017

  • Edition Number: 1

  • Number of Pages: XV, 139

  • Number of Illustrations: 7 b/w illustrations, 12 illustrations in colour

  • Topics: Operations Research/Decision Theory, Logistics, Production

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