Fr. 83.00

Material Handling and Production Systems Modelling - based on Queuing Models - Queuing networks applied to material handling and production systems

English · Hardback

Will be released 01.06.2024

Description

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Queueing models were successfully applied for material handling and production systems. 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.

List of contents

Elements of Supply Chains.- Queuing Networks.- Applications and Examples.

About the author

Prof. Dr.-Ing. Kai Furmans ist seit April 2003 Inhaber des Stiftungslehrstuhls Logistik an der Universität Karlsruhe und Leiter des "VDI-FML Fachausschusses Modellbildungsprozesse". Von 1996 bis 2003 war er für die Robert Bosch GmbH tätig, zuletzt als Leiter der Logistik des Geschäftsbereichs Thermotechnik. Parallel zu seiner Berufstätigkeit wurde er 2000 an der Fakultät für Maschinenbau der Universität Karlsruhe habilitiert.

Summary

Queueing models were successfully applied for material handling and production systems. 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.

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