Digital Management of Container Terminal Operations

1. Auflage 2020
ISBN: 978-981-15-2939-9
Verlag: Springer Nature Singapore

Buch, Englisch, 310 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 505 g

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. 

Zielgruppe

Research

Autoren/Hrsg.

Zhao, Ning

Liu, Yuan

Xia, Mengjue

Mi, Weijian

Shen, Yifan

Fachgebiete

• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Verkehrstechnologie: Allgemeines
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management
• Technische Wissenschaften Bauingenieurwesen Verkehrsingenieurwesen, Verkehrsplanung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Technik Allgemein Betriebswirtschaft für Ingenieure
• Mathematik | Informatik EDV | Informatik Angewandte Informatik

Inhaltsverzeichnis

Introduction.- Operation Management in the Container Terminal.- Management of the Vessel Unloading Operations in the Container Terminal.- Management of Container Delivery in the Container Terminal.- Management of Container Collection Operations in the Container Terminal.  

Über Autor(innen)

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 ofthe 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.