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

Material Handling and Production Systems Modelling - based on Queuing Models by Furmans, Kai;

Queuing networks applied to material handling and production systems

GET 8% OFF
The discount is only available for 'Alert of Favourite Topics' newsletter recipients.

Publisher's listprice EUR 64.15
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

27 212 Ft (25 916 Ft + 5% VAT)
Discount 8% (cc. 2 177 Ft off)
Discounted price 25 035 Ft (23 843 Ft + 5% VAT)

27 212 Ft

Availability

cancelled

Product details:

Edition number 2024
Publisher Springer
Date of Publication 11 June 2024
Number of Volumes 1 pieces, Book

ISBN 9783540317746
Binding Hardback
No. of pages150 pages
Size 235x155 mm
Language English
Illustrations 40 Illustrations, black & white

Short description:

This book helps practitioners to understand the major influences that affect 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.

Long description:

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.