From data to big data in production research: the past and future trends

YH Kuo, A Kusiak - International Journal of Production Research, 2019 - Taylor & Francis
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 …

[HTML][HTML] Forecasting container throughput of major Asian ports using the Prophet and hybrid time series models

ZH Munim, CS Fiskin, B Nepal… - The Asian Journal of …, 2023 - Elsevier
Forecasting container throughput is critical for improved port planning, operations, and
investment strategies. Reliability of forecasting methods need to be ensured before utilizing …

From digitalization to data-driven decision making in container terminals

L Heilig, R Stahlbock, S Voß - Handbook of terminal planning, 2020 - Springer
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 …

From a feeder port to a hub port: The evolution pathways, dynamics and perspectives of Ningbo-Zhoushan port (China)

H Feng, M Grifoll, P Zheng - Transport Policy, 2019 - Elsevier
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 …

Container flow forecasting through neural networks based on metaheuristics

M Milenković, N Milosavljevic, N Bojović, S Val - Operational research, 2021 - Springer
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 …

Container terminal daily gate in and gate out forecasting using machine learning methods

J Jin, M Ma, H Jin, T Cui, R Bai - Transport Policy, 2023 - Elsevier
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 …

Deep learning-based container throughput forecasting: A triple bottom line approach

S Shankar, S Punia, PV Ilavarasan - Industrial Management & Data …, 2021 - emerald.com
Purpose Container throughput forecasting plays a pivotal role in strategic, tactical and
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

F Parola, G Satta, T Notteboom… - Maritime Economics & …, 2020 - pmc.ncbi.nlm.nih.gov
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 …

Forecast combination using grey relational analysis and Choquet fuzzy integral for container throughput forecasting

G Wu, YC Hu, YJ Chiu, P Jiang, R Chi - Expert Systems with Applications, 2024 - Elsevier
Utilizing the accurate and reliable demand forecasting model for the port logistics industry
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 …