Análise operacional e de custo logístico do processo de transbordo de navio para navio - transshipment - no Brasil. Uma aplicação ao minério de ferro no porto de Santos
Bibliographic record
Abstract
The Shipbuilding Industry has invested in larger vessels for economies of scale. In the last decade, this movement has intensified and one of the main factors is that emerging economies have significantly influenced demand for cargo. Some of the gains from the use of larger ships are: lower energy consumption, lower CO2 emissions, higher cargo capacity and more competitive sea freight as a consequence. These new ships require a revision of the port infrastructure due to their higher concentration of cargo and still require a greater depth in the ports, as well as changes in the structures of the terminals to receive them. Investments such as dredging, modifications of terminal layout among others result in high costs, in addition to the need for upgrading licenses to operate. A solution that is being used around the world is the transshipment. It is usually accomplished through a ship converted as a transfer platform, replacing the need for anchoring the larger vessel at a conventional port terminal. Brazil needs to be prepared for this challenge and the port of Santos, the main port of the country, has limitations for receiving these vessels. This work assessed operationally and from the point of view of logistics costs, the transshipment in Brazilian ports. To do so, it carried out an application study to the iron ore in the port of Santos, using simulation and the comparison of total logistical costs of the alternatives. The results obtained demonstrated the capacity of the transshipment to attend the demand for cargo in different scenarios and reduce cost in relation to the conventional operation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".