Overview
- Introduces a wealth of new techniques, tools, and methodologies for improving supply chain management
- Demonstrates how managers are using these resources to improve their supply chains’ performance and achieve a competitive edge on the globalized market
- Reports on case studies that help to understand the application in the industrial world, illustrating how managers are focusing on cost reduction, integrating their partners, employing information and communication technologies, and using algorithms to optimize resources in supply chains
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 166)
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Table of contents (19 chapters)
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Methodologies on Supply Chain
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Techniques in Supply Chain
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Tools on Supply Chain
Keywords
About this book
This book presents the latest developments concerning techniques, tools, and methodologies in supply chain ecosystems. It gathers contributions from a variety of experts, who analyze a range of case studies and industrial sectors such as manufacturing, energy, agricultural, healthcare, humanitarian logistics, and urban goods distribution, to name but a few.
The book is chiefly intended to meet the needs of two sectors: firstly, the academic sector, so as to familiarize students, professors, and researchers with the tools that are now being used to optimize supply chains; and secondly, the industrial and managerial sector, so that supply chain management practitioners can benefit from methods and tools that are yielding valuable results in other contexts.
Editors and Affiliations
Bibliographic Information
Book Title: Techniques, Tools and Methodologies Applied to Global Supply Chain Ecosystems
Editors: Jorge Luis García-Alcaraz, Cuauhtémoc Sánchez-Ramírez, Liliana Avelar-Sosa, Giner Alor-Hernández
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-030-26488-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-26487-1Published: 20 September 2019
Softcover ISBN: 978-3-030-26490-1Published: 20 September 2020
eBook ISBN: 978-3-030-26488-8Published: 29 August 2019
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XXXVIII, 457
Number of Illustrations: 25 b/w illustrations, 74 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Supply Chain Management