Business & Economics Books:

Stochastic Modelling in Production Planning

Methods for Improvement and Investigations on Production System Behaviour
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Description

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.

Author Biography:

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.  
Release date Australia
August 2nd, 2017
Audience
  • Professional & Vocational
Edition
1st ed. 2018
Illustrations
12 Illustrations, color; 7 Illustrations, black and white; XV, 139 p. 19 illus., 12 illus. in color.
Pages
139
ISBN-13
9783658191191
Product ID
26870318

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