Collaborative Logistics and Intermodality〈1st ed. 2021〉 : Integration in Supply Chain Network Models and Solutions for Global Environments

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Collaborative Logistics and Intermodality〈1st ed. 2021〉 : Integration in Supply Chain Network Models and Solutions for Global Environments

  • 言語:ENG
  • ISBN:9783030509569
  • eISBN:9783030509583

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Description

This book presents new approaches to logistics solutions in global environments, with a special focus on collaborative logistics and intermodality. Contributions in this book are linked to two major initiatives in global logistics - H2020 MSCA-RISE-EU project EC-Asia Research Network on Integration of Global and Local Agri-Food Supply Chains Towards Sustainable Food Security (GOLF), and the ​International Conference on Logistics & Supply Chain (CiLOG). Topics covered in this book are: global logistics environments in manufacturing industries, key logistic decision-making parameters, global logistics management and its impact on container logistics processes, logistic market clusters and many more.

Table of Contents

Challenges and Developments in Integrated Container Supply Chains – A Research Agenda for the Europe-China Research Network on Integrated Container Supply Chains (ENRICH) Project.- A Research Framework for Cross-National Comparative Logistics.- Supply Chain Solutions to Upstream Buyer Consolidation with green and resilient supply chain designs in the China-Europe Containerized Cargo flows.- Impact analysis of slow steaming on inland river container freight supply chain.- Modelling container port logistics and intermodality from the perspective of environmental sustainability.- Random Forest Regression Model Application for Prediction of China’s Railway Freight Volume.- An optimization approach for the train load planning problem in seaport container terminals.- Utilizing breakthrough innovations: The need for Information Sharing as a new Key Performance Indicator for container port operations.- Scheduling periodical deliveries from a distribution centre to minimize the fleet size.

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