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Wyszukujesz frazę "container Ship" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
The determination of times of transhipment processes at maritime container terminals
Autorzy:
Bartosiewicz, A.
Kucharski, A.
Powiązania:
https://bibliotekanauki.pl/articles/2211919.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
container vessel
transhipment process
container terminal
maritime container transportation
maritime container terminal
ship-to-Shore
rubber-tyred gantr
Baltic Container Terminal
Gdynia
Opis:
Nowadays managers and decision-makers around the world seek every opportunity to lower costs of the ship’s mooring time at seaports. In this article, main operations taking place at maritime container terminals are first disaggregated in several elementary activities. Then the vessel cycle time is analysed while separately investigating the STS (Ship to Shore) crane cycle time, the RTG (Rubber-Tyred Gantry) crane work cycle time and the IMV (Internal Movement Vehicle) transfer time. A triangular distribution describes times of each of the container handling stages while the PERT (Program Evaluation and Review Technique) method is used to estimate the total time for all reloading activities. The paper demonstrates the proposed method effectiveness with data of Baltic Container Terminal (BCT) Gdynia. The use of formulas developed for the calculation of times of individual operations that affect the reloading of a container at maritime container terminals enables an in-depth assessment of the effectiveness of the reloading processes. Thus, the proposed tool gives terminal managers opportunity to track which stage of the container reloading consumes most time and generates biggest costs.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2022, 16, 3; 507--513
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Deep Q-Learning Network for ship stowage planning problem
Autorzy:
Shen, Y.
Zhao, N.
Xia, M.
Du, X.
Powiązania:
https://bibliotekanauki.pl/articles/260614.pdf
Data publikacji:
2017
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
Deep Q-Leaning Network (DQN)
container terminal
ship stowage plan
markov decision process
value function approximation
generalization
Opis:
Ship stowage plan is the management connection of quae crane scheduling and yard crane scheduling. The quality of ship stowage plan affects the productivity greatly. Previous studies mainly focuses on solving stowage planning problem with online searching algorithm, efficiency of which is significantly affected by case size. In this study, a Deep Q-Learning Network (DQN) is proposed to solve ship stowage planning problem. With DQN, massive calculation and training is done in pre-training stage, while in application stage stowage plan can be made in seconds. To formulate network input, decision factors are analyzed to compose feature vector of stowage plan. States subject to constraints, available action and reward function of Q-value are designed. With these information and design, an 8-layer DQN is formulated with an evaluation function of mean square error is composed to learn stowage planning. At the end of this study, several production cases are solved with proposed DQN to validate the effectiveness and generalization ability. Result shows a good availability of DQN to solve ship stowage planning problem.
Źródło:
Polish Maritime Research; 2017, S 3; 102-109
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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