Zobrazeno 1 - 10
of 118
pro vyhledávání: '"HYERIM BAE"'
Publikováno v:
Maritime Transport Research, Vol 7, Iss , Pp 100116- (2024)
In a container terminal, the length of time that containers remain in the yard, known as Container Dwell Time (CDT), is considered one of the significant operational indicators due to its direct correlation with terminal productivity and efficiency.
Externí odkaz:
https://doaj.org/article/bd1cd4c32e0b4023a6027f6eb6dac83d
Publikováno v:
IEEE Access, Vol 12, Pp 58801-58822 (2024)
Container terminals (CTs) play a crucial role within the global supply chain in the context of the global container transportation business. The primary obligation associated with these terminals involves ensuring the punctual execution of primary ve
Externí odkaz:
https://doaj.org/article/3852df84e2d646c6bfc8e23770054bc8
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 11, p 2103 (2023)
The growth in containerized shipping has led to the expansion of seaports, resulting in the emergence of multiple terminals. While multi-terminal systems increase port capacity, they also pose significant challenges to container transportation, parti
Externí odkaz:
https://doaj.org/article/7dfcb2a17dce43d49161f982488c1398
Publikováno v:
IEEE Access, Vol 10, Pp 129408-129418 (2022)
To manufacture synthetic rubber, rubber manufacturers require optimal recipes to ensure that it satisfies the required quality standards. Several experiments are required to create the optimal recipe, which adversely affects not only the cost and tim
Externí odkaz:
https://doaj.org/article/d8fc88387ec24b9ea4ace0dfac0c56bf
Publikováno v:
IEEE Access, Vol 10, Pp 15994-16009 (2022)
In process mining, converting event data to event logs is related to the quality of analysis results. In general, to convert event data into event logs, it is necessary to identify process entities, such as the case identifier, activity label, activi
Externí odkaz:
https://doaj.org/article/2b3b936b4c8f40068ac1022df9c3655e
Publikováno v:
IEEE Access, Vol 8, Pp 210922-210934 (2020)
Constructing social networks for real epidemic cases is very challenging. Many mathematical models have been proposed to model such networks using simulation models, such as susceptible-infected (SI), susceptible-infected-recovered (SIR), and suscept
Externí odkaz:
https://doaj.org/article/5c6299b8fa034ede8cf79c338aaabc43
Publikováno v:
Maritime Transport Research, Vol 2, Iss , Pp 100012- (2021)
Port operation efficiency has grown in importance as container volumes and vessel sizes have increased. For improved port operations efficiency, the estimated time of arrival (ETA) of sea-going vessels must be accurately predicted. In this paper, an
Externí odkaz:
https://doaj.org/article/31a45ab9698543baad355a5628faae32
Autor:
Jaehun Park, Hyerim Bae
Publikováno v:
Applied Sciences, Vol 12, Iss 13, p 6346 (2022)
The fourth industrial revolution or what can be referred to as Industry 4 [...]
Externí odkaz:
https://doaj.org/article/e75868faba58444598979d289f3e7ab3
Publikováno v:
Applied Sciences, Vol 11, Iss 21, p 9848 (2021)
Event logs generated by Process-Aware Information Systems (PAIS) provide many opportunities for analysis that are expected to help organizations optimize their business processes. The ability to monitor business processes proactively can allow an org
Externí odkaz:
https://doaj.org/article/c6cfaf8323724a16a6b6764029f4a06b
Publikováno v:
Applied Sciences, Vol 11, Iss 19, p 8995 (2021)
The purpose of this study is to improve the prediction of container volumes in Busan ports by applying external variables and time-series data decomposition methods to deep learning prediction models. Previous studies on container volume forecasting
Externí odkaz:
https://doaj.org/article/3a22994d08be449ca30f2743d67649df