Inventory management in multi-echelon networks : on the optimization of reorder points /

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Bibliographic Details
Author / Creator:Grob, Christopher, author.
Imprint:Wiesbaden : Springer, [2019]
©2019
Description:1 online resource.
Language:English
Series:AutoUni-Schriftenreihe ; Band 128
AutoUni-Schriftenreihe ; Bd. 128.
Subject:Inventory control -- Mathematical models.
Network analysis (Planning) -- Mathematical models.
Business logistics -- Mathematical models.
Mathematical optimization.
BUSINESS & ECONOMICS / Industrial Management.
BUSINESS & ECONOMICS / Management.
BUSINESS & ECONOMICS / Management Science.
BUSINESS & ECONOMICS / Organizational Behavior.
Business logistics -- Mathematical models.
Inventory control -- Mathematical models.
Mathematical optimization.
Network analysis (Planning) -- Mathematical models.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11745585
Hidden Bibliographic Details
ISBN:9783658233754
3658233753
9783658233747
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (EBSCO, viewed August 21, 2018).
Summary:Inventory Management in Multi-Echelon Networks presents methods to plan inventory in distribution networks. By holistically looking at the supply chain, it shows how safety stocks across all echelons can be optimized if inventory of all levels is taken into consideration. The gap between the existence of advanced inventory planning methods and their low penetration in the industry was the motivation for this book. Christopher Grob develops essential algorithms that companies can use for network inventory planning and highlights achievable implementation benefits. The work of the author was inspired by the needs of an after sales supply chain of a large automotive company. This company supplies customers all over the world with spare parts and operates a distribution network with more than 100 warehouses. This supply chain faces two particular challenges: demand is highly uncertain and customers expect a high service level. Contents Inventory Management Multi-Echelon Distribution Networks and Optimization Experimental Results and Real-World Application Target Groups Students and scientists in the field of economic sciences, industrial engineering, mathematics, and operations research Practitioners in supply chain management and logistics About the Author Christopher Grob works in after sales supply chain management at a major German automotive company. He is responsible for the functional development of inventory planning systems for the spare parts business. He is an expert in the field of inventory management.
Other form:Printed edition: 9783658233747
Printed edition: 9783658233761
Standard no.:10.1007/978-3-658-23375-4
Description
Summary:

Inventory Management in Multi-Echelon Networks presents methods to plan inventory in distribution networks. By holistically looking at the supply chain, it shows how safety stocks across all echelons can be optimized if inventory of all levels is taken into consideration. The gap between the existence of advanced inventory planning methods and their low penetration in the industry was the motivation for this book. Christopher Grob develops essential algorithms that companies can use for network inventory planning and highlights achievable implementation benefits. The work of the author was inspired by the needs of an after sales supply chain of a large automotive company. This company supplies customers all over the world with spare parts and operates a distribution network with more than 100 warehouses. This supply chain faces two particular challenges: demand is highly uncertain and customers expect a high service level.

About the Author

Christopher Grob works in after sales supply chain management at a major German automotive company. He is responsible for the functional development of inventory planning systems for the spare parts business. He is an expert in the field of inventory management.

Physical Description:1 online resource.
Bibliography:Includes bibliographical references.
ISBN:9783658233754
3658233753
9783658233747