An empirical study of fleet expansion and growth of ship size in container liner shipping

Tran, Nguyen Khoi; Haasis, Hans–Dietrich

doi:10.1016/j.ijpe.2014.09.016

Cited by 90 publications

(49 citation statements)

References 22 publications

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“…Container shipping plays a crucial role in global cargo transportation and connects the entire supply chain from production to final customer [1]. Over the last three decades, the container shipping industry has been characterized by significant growth of annual volumes as well as vessel size [2,3]. Congestion at ports and maritime chokepoints such as the Suez Canal, however, represents a major issue causing shipping delay already today [4].…”

Section: Introductionmentioning

confidence: 99%

Novel Data Analytics Meets Conventional Container Shipping: Predicting Delays by Comparing Various Machine Learning Algorithms

Viellechner¹,

Spinler²

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Supply chain disruptions are expected to significantly increase over the next decades.In particular, delay of container vessels is likely to escalate due to rising congestion from continued growth of container shipping and higher frequency of extreme weather events. Predicting these delays could result in significant cost savings from optimizing operations. Both academic research and container shipping industry, however, lack analytical solutions to predict delay. To increase transparency on delay, we develop a prediction model based on 315 explanatory variables, 10 regression models, and 7 classification models. Using machine learning algorithms, we obtain best results for neural network and support vector machine with a prediction accuracy of 77 percent compared to only 59 percent of a naive baseline model. Various shipping players including sender, carrier, terminal operator, and receiver benefit from the easy-to-use prediction model to optimize operations such as buffers in schedules and the selection of ports and routes.

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Section: Introductionmentioning

confidence: 99%

Novel Data Analytics Meets Conventional Container Shipping: Predicting Delays by Comparing Various Machine Learning Algorithms

Viellechner¹,

Spinler²

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Critical issues of mega-ships concern a possible increase in costs paid by ports and their hinterland actors (including the opportunity costs of coastal and city land, and the external costs of pollution and traffic congestion in inland transportation networks), more than proportionally to the increase in ship sizes. It is therefore necessary to analyze these developments in terms of the tradeoffs between the benefits of mega-containerships and their cost along the entire transport chain (Tran and Haasis 2015).…”

Section: Introductionmentioning

confidence: 99%

Impact of megaships on the performance of port container terminals

Musso

Sciomachen

2019

Marit Econ Logist

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Following the advent of mega-ships, the performance requirements of container terminals have increased significantly, highlighting necessary changes in their layout, infrastructure and equipment. We focus on the impact of mega-ships on a terminal, within the port network of the Italian region of Liguria, in terms of its ability to manage the flow of imports from arrival to inland destinations. We use discrete event simulation techniques to analyze the operations of a terminal and evaluate the relevant performance indices in different scenarios, which vary as a function of the call size of the larger containerships. The possibility of guaranteeing a more balanced modal split (favoring rail transport) for the inland distribution of containers is also evaluated. Dwell times at the yard and turnaround times at the berth are considered, with the objective of achieving a modal split of inland transport consisting of no less than 40% rail. Our results show that this objective can be achieved if a higher dwell time for outgoing containers is allowed.

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“…To address the challenge of rapid growth, major carriers have built large vessels in the pursuit of lower costs and increased competitiveness. The maximum vessel size was 4300 TEUs in 1988, went up to 15,500 TEUs in 2006, and is 18,000 TEUs in 2014 (Tran and Haasis, 2015). As a result, terminal operators find elevated pressure in maintaining service quality due to increasing container throughput.…”

Section: Introductionmentioning

confidence: 99%

“…The operational problems of container terminals merit additional study and have attracted significant attention in recent years. Stahlbock and Voss (2008) and Vis and de Koster (2003) provided a comprehensive overview of the operations and problems in container terminals and referred to solution methods for these critical issues.…”

Section: Introductionmentioning

confidence: 99%