Authors:
- Bridges the gap between stochastic modelling and engineering by combining a sound theoretical background with modelling examples in several application domains
- Based on this knowledge it is possible to identify areas of improvement in material handling and supply chain systems
About this book
The book helps practitioners to understand the major influences for inventory and lead times. Stochastic effects are frequently disregarded when designing material handling or production systems. Cause and effects for response times are derived. Based on this knowledge it is possible to identify areas of improvement in material handling systems. The book bridges the gap between stochastic modelling and practical engineering by combining the theoretical background with modelling examples in several application domains. It is also a useful supplement in Masters and Ph.D. courses for students interested in engineering and operations management.
Keywords
- Material Handling Systems
- Production systems
- Queueing Systems
- Stochastic Models
Authors and Affiliations
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Universität Karlsruhe (TH) Stiftungslehrstuhl Logistik, Karlsruhe, Germany
Kai Furmans
About the author
Since 2003, holder of the endowed chair of logistics at the Universität Karlsruhe. From 1996 to 2003 with Robert Bosch GmbH, last position Director Logistics in the division Thermotechnology.
From 1994 – 1996 head of the research group "Material Handling Systems". Institute for Material Handling Systems at the Universität Karlsruhe, Post-Doc at IBM, Manufacturing Research, Ph.D. in Engineering 1992.
Bibliographic Information
Book Title: Material Handling and Production Systems Modelling - based on Queuing Models
Authors: Kai Furmans
Publisher: Springer Berlin, Heidelberg
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2024
Hardcover ISBN: 978-3-540-31774-6Due: 11 June 2024
eBook ISBN: 978-3-540-31777-7Due: 11 June 2024
Edition Number: 1
Number of Pages: 150
Number of Illustrations: 40 b/w illustrations