From data to big data in production research: the past and future trends
Data have been utilised in production research in meaningful ways for decades. Recent
years have offered data in larger volumes and improved quality collected from diverse …
years have offered data in larger volumes and improved quality collected from diverse …
[HTML][HTML] Forecasting container throughput of major Asian ports using the Prophet and hybrid time series models
Forecasting container throughput is critical for improved port planning, operations, and
investment strategies. Reliability of forecasting methods need to be ensured before utilizing …
investment strategies. Reliability of forecasting methods need to be ensured before utilizing …
From digitalization to data-driven decision making in container terminals
With the new opportunities emerging from the current wave of digitalization, terminal
planning and management need to be revisited by taking a data-driven perspective …
planning and management need to be revisited by taking a data-driven perspective …
From a feeder port to a hub port: The evolution pathways, dynamics and perspectives of Ningbo-Zhoushan port (China)
This paper analyses the spatio-temporal evolution of Ningbo-Zhoushan port growing from a
feeder port to a hub port finding the historical pathways followed by its expanding in terms of …
feeder port to a hub port finding the historical pathways followed by its expanding in terms of …
Container flow forecasting through neural networks based on metaheuristics
In this paper we propose a fuzzy neural network prediction approach based on
metaheuristics for container flow forecasting. The approach uses fuzzy if–then rules for …
metaheuristics for container flow forecasting. The approach uses fuzzy if–then rules for …
Container terminal daily gate in and gate out forecasting using machine learning methods
Container throughput is an essential indicator for measuring the container terminal's
efficiency. Gate in and gate out containers are the containers that are transported to and …
efficiency. Gate in and gate out containers are the containers that are transported to and …
Deep learning-based container throughput forecasting: A triple bottom line approach
Purpose Container throughput forecasting plays a pivotal role in strategic, tactical and
operational level decision-making. The determination and analysis of the influencing factors …
operational level decision-making. The determination and analysis of the influencing factors …
Revisiting traffic forecasting by port authorities in the context of port planning and development
This paper contributes to the extant debate on port planning and development by analysing
current approaches and challenges for academics and port authorities with respect to traffic …
current approaches and challenges for academics and port authorities with respect to traffic …
Forecast combination using grey relational analysis and Choquet fuzzy integral for container throughput forecasting
Utilizing the accurate and reliable demand forecasting model for the port logistics industry
decision makers, can prevent misguided decisions ensuing from inaccurate forecasting …
decision makers, can prevent misguided decisions ensuing from inaccurate forecasting …
Which forecasting models are employed in the shipping industry? Identifying key themes and future directions through an integrative review
CS Fiskin, AG Cerit - International Journal of Maritime …, 2021 - intmaritimeengineering.org
Developing accurate forecasting models provides the capability of handling the uncertain,
volatile, and complex nature of the shipping industry. The outcome of the forecasts directly …
volatile, and complex nature of the shipping industry. The outcome of the forecasts directly …