Stochastic Modelling in Production Planning
Methods for Improvement and Investigations on Production System Behaviour
Authors: Hübl, Alexander
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- About this book
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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.
- About the authors
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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.
- Table of contents (7 chapters)
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Introduction
Pages 1-7
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Literature Review
Pages 9-21
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Utilisation Concept for Hierarchical Production Planning
Pages 23-36
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Capacity Setting Methods
Pages 37-85
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Conwip
Pages 87-107
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Table of contents (7 chapters)
- Download Preface 1 PDF (52.8 KB)
- Download Sample pages 2 PDF (176.2 KB)
- Download Table of contents PDF (49.1 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Stochastic Modelling in Production Planning
- Book Subtitle
- Methods for Improvement and Investigations on Production System Behaviour
- Authors
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- Alexander Hübl
- Copyright
- 2018
- Publisher
- Gabler Verlag
- Copyright Holder
- Springer Fachmedien Wiesbaden GmbH
- eBook ISBN
- 978-3-658-19120-7
- DOI
- 10.1007/978-3-658-19120-7
- Softcover ISBN
- 978-3-658-19119-1
- Edition Number
- 1
- Number of Pages
- XV, 139
- Number of Illustrations
- 7 b/w illustrations, 12 illustrations in colour
- Topics
