Overview
- Achieving high service levels under highly uncertain demand
Part of the book series: AutoUni – Schriftenreihe (AUS, volume 128)
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Table of contents (7 chapters)
Keywords
About this book
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.
Authors and Affiliations
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.
Bibliographic Information
Book Title: Inventory Management in Multi-Echelon Networks
Book Subtitle: On the Optimization of Reorder Points
Authors: Christopher Grob
Series Title: AutoUni – Schriftenreihe
DOI: https://doi.org/10.1007/978-3-658-23375-4
Publisher: Springer Wiesbaden
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2019
Softcover ISBN: 978-3-658-23374-7Published: 22 August 2018
eBook ISBN: 978-3-658-23375-4Published: 14 August 2018
Series ISSN: 1867-3635
Series E-ISSN: 2512-1154
Edition Number: 1
Number of Pages: XVI, 140
Number of Illustrations: 36 b/w illustrations, 2 illustrations in colour
Topics: Supply Chain Management, Operations Research, Management Science, Calculus of Variations and Optimal Control; Optimization