Overview
Describes container terminals’ basic operation processes in detail
Includes numerous real-world cases involving operation processes, management processes and operating procedures
Highlights decision-making problems concerning several important processes in container terminals
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Table of contents (7 chapters)
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Front Matter
Keywords
About this book
This book presents a comprehensive study on intelligent container terminals. Based on the development experience gained to date with container terminals, it analyzes information flows and their interactions with container terminals; illustrates the operation management process from information collection to resource planning and from equipment scheduling to field operation; highlights several dynamic decision-making problems concerning digital operation processes and container terminals; reveals the basis of the discrete logistics system; and discusses the future of intelligent container terminals.
Authors and Affiliations
About the authors
Ning Zhao, Professor, College of Logistics Engineering, Shanghai Maritime University, China. He has been researching and has developed intelligent systems in several of the largest seaports in China. He has led or participated in several projects at the national and provincial/ministry level. He has received the Golden Award of Singapore International Maritime and two Shanghai Awards for Progress in Science and Technology (third class in 2014, 2016) for his research contributions. Dr. ZHAO has published 12 papers as the first author in domestic and foreign journals (6 included in SCI/EI), has published 1 monograph and 1 textbook as the first author, and holds several invention patents and software copyrights.
Weijian Mi Professor, College of Logistics Engineering, Shanghai Maritime University. He now serves as executive director of China Logistics Association, executive director of CMES China, secretary–general of the Testing and Controlling branch of CCMA China, etc. Prof. MI directs a research team working on Port Intelligence and Port Machinery Maintenance, and has led his team to win the National Award for Progress in Science and Technology (second class), Golden Award of Next Generation Automated Container Terminal Challenge in Singapore, and the Shanghai Award for Progress in Science and Technology (second class).
Yuan Liu, Shanghai Maritime University, China. She has been a visiting scholar at Vienna University of Technology, Austria, and taught Manufacturing Processes at Saint Martine’s University, US. Her research interests include rolling contact fatigue, safety evaluation and management of metal structures of large port machinery, intelligent port logistics, etc. Dr. LIU has published 8 papers as the first author in domestic and foreign journals (4 included in SCI/EI).
Yifan Shen, Shanghai Maritime University, China, received his PhD from Shanghai Maritime University. He has published 3 papers as the first author in foreign journals (3 included in SCI/EI). His current research mainly focuses on intelligence planning and scheduling in large-scale discrete logistics system.
Mengjue Xia, from Shanghai Maritime University, China, is now a PhD student of prof. MI Weijian. He completed his Bachelor’s degree at South China University of Technology, China, and since then has been pursuing his graduate studies and research at Shanghai Maritime University. His work mainly focuses on intelligent decision-making at container terminals.
Bibliographic Information
Book Title: Digital Management of Container Terminal Operations
Authors: Ning Zhao, Yuan Liu, Weijian Mi, Yifan Shen, Mengjue Xia
DOI: https://doi.org/10.1007/978-981-15-2937-5
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-2936-8Published: 21 February 2020
Softcover ISBN: 978-981-15-2939-9Published: 21 February 2021
eBook ISBN: 978-981-15-2937-5Published: 20 February 2020
Edition Number: 1
Number of Pages: XIII, 310
Number of Illustrations: 1 b/w illustrations, 243 illustrations in colour
Topics: Engineering Economics, Organization, Logistics, Marketing, Transportation Technology and Traffic Engineering, Logistics, Computational Intelligence, Artificial Intelligence, Information Systems Applications (incl. Internet)