Decision Policies for Production Networks

  • Dieter Armbruster
  • Karl G. Kempf

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Oliver Rose, Zhugen Zhou
    Pages 71-101
  3. Dominique Perdaen, Dieter Armbruster, Karl G. Kempf, Erjen Lefeber
    Pages 103-117
  4. Bernd Scholz-Reiter, Sergey Dashkowskiy, Michael Görges, Thomas Jagalski, Lars Naujok
    Pages 235-263
  5. Simone Göttlich, Michael Herty, Christian Ringhofer
    Pages 265-287

About this book

Introduction

The financial results of any manufacturing company can be dramatically impacted by the  repetitive decisions required to control a complex production network be it a network of machines in a factory; a network of factories in a company; or a network of companies in a supply chain. Decision Policies for Production Networks presents recent convergent research on developing policies for operating production networks including details of practical control and decision techniques which can be applied to improve the effectiveness and economic efficiency of production networks worldwide. Researchers and practitioners come together to explore a wide variety of approaches to a range of topics including:


•WIP and equipment management policies,


•Material release policies,


•Machine, factory, and supply chain network policies for delivery in the face of supply and demand variability, and


•Conflicts between complex production network models and their controlling policies.


Case studies and relevant mathematical techniques are included to support and explain techniques such as heuristics, global and hierarchical optimization, control theory and filtering approaches related to complex systems or traffic flows. Decision Policies for Production Networks acts as handbook for researchers and practitioners alike, providing findings and information which can be applied to develop methods and advance further research across production networks.

Keywords

Decision Policy Mathematical Modelling Optimization Production Systems Semiconductor Production

Editors and affiliations

  • Dieter Armbruster
    • 1
  • Karl G. Kempf
    • 2
  1. 1.Dept. MathematicsArizona State UniversityTempeUSA
  2. 2.Decision TechnologiesIntel CorporationChandlerUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-85729-644-3
  • Copyright Information Springer-Verlag London 2012
  • Publisher Name Springer, London
  • eBook Packages Business and Economics
  • Print ISBN 978-0-85729-643-6
  • Online ISBN 978-0-85729-644-3
  • About this book