Overview
- Presents some attractive results on the cutting-edge modeling on logistics networks
- Illustrates some valuable practical case studies on data-driven process management decision
- Identifies efficient solution methods on transportation management,optimization,and management
Part of the book series: Uncertainty and Operations Research (UOR)
Included in the following conference series:
Conference proceedings info: ITLBD&DS 2022.
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About this book
This book focuses on selected aspects of the current and upcoming trends in transportation, logistics and decision making. In detail the included transportation management, optimization and management of logistics system, big data technology and method, financial engineering and risk management, investment decision and risk management, data-driven process management decision, scheduling optimization and combination decision, theory and method of forecasting and decision making, data mining and knowledge management, operation and green supply chain management, industrial engineering and operation management, information system and business intelligence, Internet + green manufacturing, strategic emerging industries and Industrial finance, big data and smart city. The variety of the papers delivers added value for both scholars and practitioners. This book is the documentation of International Conference on Intelligent Transportation and Logistics with Big Data & International Forum onDecision Sciences, which took place in Harbin, Heilongjiang province, China, in 2022.
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Keywords
Table of contents (33 papers)
Other volumes
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Proceedings of the Tenth International Forum of Decision Sciences
Editors and Affiliations
About the editors
Li Xiang is Professor, School of Economics and Management, Beijing University of Chemical Technology. His research interests include decision making under uncertainty, metro-operations and management, hazardous materials transportation.
Xu Xiaofeng is Professor, College of Economics & Management, China University of Petroleum. His research interests include decision making under uncertainty, system engineering.
Bibliographic Information
Book Title: Proceedings of the Tenth International Forum of Decision Sciences
Editors: Xiang Li, Xiaofeng Xu
Series Title: Uncertainty and Operations Research
DOI: https://doi.org/10.1007/978-981-19-9741-9
Publisher: Springer Singapore
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 Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-19-9740-2Published: 12 June 2023
Softcover ISBN: 978-981-99-0739-7Due: 13 July 2023
eBook ISBN: 978-981-19-9741-9Published: 11 June 2023
Series ISSN: 2195-996X
Series E-ISSN: 2195-9978
Edition Number: 1
Number of Pages: VII, 621
Number of Illustrations: 59 b/w illustrations, 83 illustrations in colour
Topics: Operations Research/Decision Theory, Operations Research, Management Science