Hidden Bibliographic Details
| ISBN: | 9783658191207
3658191201
9783658191191
3658191198
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| Digital file characteristics: | text file PDF
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| Notes: | Includes bibliographical references.
Vendor-supplied metadata.
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| Summary: | 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. Contents 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.
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| Other form: | Print version: Hübl, Alexander. Stochastic modelling in production planning. Wiesbaden : Springer Gabler, 2018 3658191198 9783658191191
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| Standard no.: | 10.1007/978-3-658-19120-7
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