Stochastic Modelling in Production Planning: Methods for Improvement and Investigations on Production System Behaviour
Autor Alexander Hüblen Limba Engleză Paperback – 2 aug 2017
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Specificații
ISBN-13: 9783658191191
ISBN-10: 3658191198
Pagini: 139
Ilustrații: XV, 139 p. 19 illus., 12 illus. in color.
Dimensiuni: 148 x 210 mm
Greutate: 0.2 kg
Ediția:1st ed. 2018
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Gabler
Locul publicării:Wiesbaden, Germany
ISBN-10: 3658191198
Pagini: 139
Ilustrații: XV, 139 p. 19 illus., 12 illus. in color.
Dimensiuni: 148 x 210 mm
Greutate: 0.2 kg
Ediția:1st ed. 2018
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Gabler
Locul publicării:Wiesbaden, Germany
Cuprins
Utilisation Concept.- Capacity Setting Methods.- Conwip.- Dispatching Rules.
Notă biografică
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.
Textul de pe ultima copertă
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
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.
Contents
- Utilisation Concept
- Capacity Setting Methods
- Conwip
- Dispatching Rules
- Researchers and students in the fields of logistics and operations management
- Practitioners in production planning, logistics, capacity planning
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.
Caracteristici
Models for Production Planning? Includes supplementary material: sn.pub/extras