Integration of machine learning and simulation for dynamic rescheduling in truck appointment systems

Silva, Maurício Randolfo Flores da; Agostino, Ícaro Romolo Sousa; Frazzon, Enzo Morosini

doi:10.1016/j.simpat.2023.102747

Cited by 9 publications

(1 citation statement)

References 36 publications

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“…Furthermore, the unpredictable arrival patterns of trucks at port terminals can lead to logistical bottlenecks. da Silva et al [61]. employed a hybrid methodology, amalgamating machine learning and simulation techniques, to forecast truck arrival patterns.…”

Section: ) Branch 1: Smart Ports: a Technological Necessity For The 2...mentioning

confidence: 99%

Smart, Green, and Sustainable: Unveiling Technological Trajectories in Maritime Port Operations

Gerrero-Molina,

Vásquez-Suárez,

Valdés-Mosquera

2024

IEEE Access

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The technological advancements in port operations over the last decade have enabled the incorporation of significant elements into the supply chain, contributing to the progress of Industry 4.0. Through Big Data, the Internet of Things, and Artificial Intelligence, strides have been made in technical, operational, and procedural management for maritime ports. The literature on this subject is diverse and spans various areas of focus. This study aims to outline the principal trajectories of digital maritime transport by applying scientometrics and the ToS metaphor. Employing an exploratory methodology, a scientometric mapping was conducted based on Scopus and WoS, analyzing the most relevant scientific production by authors, countries, journals, and affiliations. Three trends are presented: Smart Ports: A Technological Necessity for the 21st Century; Greening the Digital Harbor; and Sustainable Port Management. The study concludes that the dynamics of scientific production have seen significant growth in the influence of Industry 4.0 in the maritime field, and it also evidences the applicability of technological innovations in the port sector.

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Section: ) Branch 1: Smart Ports: a Technological Necessity For The 2...mentioning

confidence: 99%

Smart, Green, and Sustainable: Unveiling Technological Trajectories in Maritime Port Operations

Gerrero-Molina,

Vásquez-Suárez,

Valdés-Mosquera

2024

IEEE Access

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Analysis of Machine Learning Approaches to Predict Disruptions in Truck Appointment Systems

da Silva,

Kück,

Frazzon

et al. 2024

Lecture Notes in Logistics

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Literature Review on the Smart Port: Evolution, Technological Development, Performance Indicators of Smart Ports

Bakhsh,

Fiori,

de Luca

2024

Lecture Notes in Computer Science

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Integration of machine learning and simulation for dynamic rescheduling in truck appointment systems

Cited by 9 publications

References 36 publications

Smart, Green, and Sustainable: Unveiling Technological Trajectories in Maritime Port Operations

Smart, Green, and Sustainable: Unveiling Technological Trajectories in Maritime Port Operations

Analysis of Machine Learning Approaches to Predict Disruptions in Truck Appointment Systems

Literature Review on the Smart Port: Evolution, Technological Development, Performance Indicators of Smart Ports

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