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JORGE WADSON GERMANO DE SOUZA
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CASE STUDY OF THE APPLICATION OF THE ADDED VALUE MANAGEMENT SYSTEM IN THE PROJECT OF THE POLAR SHIP ALMIRANTE SALDANHA: A PATH TO OPERATIONAL EFFICIENCY
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Data: 11/12/2023
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Mostrar Resumo
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The Brazilian naval industry is a sector of extreme complexity, involving a series of technical, logistical, and regulatory challenges. The production of ships and vessels requires a high level of specialized knowledge and technological capability, encompassing engineering design, construction, and commissioning. Efficient project management plays a crucial role in this sector, as it is mandatory to ensure not only technical aspects but also the efficiency of cost and schedule parameters. In this context, the Earned Value Management System (EVMS) provides greater rigor and effective direction for the integration of planning and control processes, especially regarding the integration of processes typically considered central in complex projects, such as organization, planning, accounting, monitoring reports, and change control. This dissertation aims to assess the use of EVMS in the pioneering project of the Admiral Saldanha Polar Ship, with the goal of evaluating the challenges of its implementation in the industry and analyzing the results derived from the application of the tool. Thus, this research seeks to validate EVMS as a powerful project management tool in the naval industry through a case study on the aforementioned project. In this perspective, given the significant complexity related to shipbuilding, the need for the implementation of a project management methodology becomes evident. This methodology should promote adequate control of project evolution, provide efficient tools, and enable the responsiveness of the involved managers to ensure the faithful achievement of expected results within the determined cost and schedule parameters.
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ALISSON SOUSA DA SILVA
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PERFORMANCE EVALUATION OF THE PORT OF SANTANA WITHIN THE CONTEXT OF THE ARCO NORTE PROJECT THROUGH ANALYTIC HIERARCHY PROCESS - AHP
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Data: 07/12/2023
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Brazil presents a significant agricultural production, the distribution of which poses a logistical and operational challenge due to transportation infrastructure constraints and limitations. The analysis of port feasibility emerges as a crucial consideration, particularly in the Northern region, which boasts vast navigable waterways and economic significance. Various logistics solutions have been proposed to enhance the efficient distribution of agricultural products. Special attention is given to agricultural production from the Midwest region, with grain transport routes extending to states such as Pará and Amapá, and through the Madeira River Waterway, passing through the Amazonas state. In this context, the Arco Norte project emerged in the early 2010s, proposing an intermodal network formation, leveraging existing transportation infrastructures, and new investments. The project is centered around export estimates for grains from the state of Mato Grosso, especially soybeans. Among the ports considered, the Port of Santana - AP stands out for its proximity to the sea and soybean destinations, available area for expansion and low current occupancy rate. In view of the above, this work presents documentary and data research, with the aim of evaluating the criteria that influence the performance of the Port of Santana within the scope of the Arco Norte project, promoting a hierarchical analysis of its conditions and identifying the necessary investments, in the composition of the port's efficient intermodal regional transport network, in light of demand expectations and future expectations. To this end, the methodology was based on a bibliographical review of studies on Arco Norte and, also, on-site visits to port stakeholders, to select the conditions for the Port of Santana. With the conditions in hand, a questionnaire was applied to support the application of the Hierarchical Process Analysis (AHP) method, involving stakeholders linked to the port, for the hierarchization as a response to the evaluation conditions of the Port of Santana and its critical aspects. In the results obtained from this dissertation, there is a prior selection of conditions, based on existing literature and empirically validated with stakeholders. Also, the proposition and use of an instrument (questionnaire) to identify and classify port viability conditions, using the AHP method. At the end of the dissertation, the order of priority of the criteria and alternatives and the relationship between them were established, as well as a recommendation for the investments necessary to accredit the Port of Santana in the Arco Norte project.
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GUILER OLIVEIRA GARCIA JÚNIOR
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PREPOSITION OF AN INSTRUMENT FOR ASSESSING PASSENGER WATER TERMINALS: CASE STUDY IN THE STATE OF PARÁ
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Data: 30/11/2023
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River transport is the most important means of transport for delivering people and cargo in the State of Pará, and is responsible for promoting the population's quality of life. The region's waterway terminals have very rudimentary logistical planning in terms of their operational dynamics. This brings a lot of inconvenience to those who use the means of transport to travel. The specific purpose of this work was to develop an instrument for evaluating the quality of services offered in passenger terminals in the municipalities of Belém and Salvaterra, in Marajó. Through observational methodology, through the application of evaluative questionnaires from the National Waterway Transport Agency (ANTAQ) and a Survey survey. It was confirmed that the waterway terminals are not operating efficiently and that the factors found, such as lack of security, policing, accessibility, inadequate parking, untrained employees, among others, make operations at port facilities difficult. The results allowed the identification of problems in user access and circulation at waterway terminals, in addition to providing improvements in their infrastructure, accessibility and mobility, directly impacting passengers' quality of life.
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CLAUDIO PATRICK LOPES RIBEIRO
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RISK EVALUATION AND ANALYSIS IN BEACON SYSTEMS: A CASE STUDY FOR THE AMAZON REGION
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Data: 24/11/2023
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When examining the transport structure historically established in Brazil, the absence of a systematic and multimodal approach was evident, as well as the lack of a strategic perspective in the medium and long term. These circumstances result in the creation of a deficient and unequal infrastructure between different modes, as is notable in the case of waterway transport. Therefore, the study in question focused on the analysis of navigation safety infrastructure in the Amazon rivers, with emphasis on the river courses of the Pará, Amazonas, Tapajós and Trombetas rivers, covering 159 Navigation Aid Signals. Over the past few years, these signs have faced continuous challenges of degradation due to high rates of vandalism, collisions and difficulties in servicing. Thus, the research aimed to understand the mentioned internal navigation routes, together with the assessment of the current conditions of these routes, in order to analyze and evaluate the beacon systems existing on them. To achieve this objective, it was essential to resort to normative parameters that govern the process of sizing, risk analysis and marking of a waterway.
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LANDRIN SANDIN GONÇALVES DE OLIVEIRA FILHO
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OPTIMIZATION OF THE BOARDING PROCESS OF GRAIN SHIPS USING SIMULATION MODEL: Case study in the Itaqui port complex
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Data: 20/10/2023
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The port of Itaqui, Maranhão/Brazil, consolidated its prominent position in the northern arc, being the only one to move grains in quantities above its potential, estimated to export around 12 million tons in 2020 and closed the year with 12, 1 million tons of grain moved. The growth in exports occurred with the consolidation of the 2nd phase of the Itaqui Port Grain Terminal - Tegram, added to the investments made in the expansion, with the adoption of measures to improve operationalization, with the optimization of access, the dredging of berths and access channels, providing an increase in the capacity to move 20 million tons in 2025. The present work proposes to choose the scenario among the simulated models, which presents the best results in grain ship loading operations, with the application of stochastic processes through modeling and simulation techniques using specialized software, which provides optimization of the productive capacity of the port of Itaqui. The Arena software was used to develop the model and, through two alternative scenarios, analyzes were carried out in relation to waiting times at anchorage, number of ships served and occupancy rate.
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WEVERTON KAIO DE ARAUJO CABRAL
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STRUCTURAL ANALYSIS AND DEFINITION OF METHODOLOGICAL PARAMETERS FOR COMPOSITION OF FORCES AND IMPACT ENERGY
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Data: 26/09/2023
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Vessels engaged in river navigation in the Amazon and worldwide still face challenges due to the lack of normati e standardization and non-compliance with these standards. Often, this leads to incidents such as collisions of river convoys with bridge pillars, resulting in significant socio-economic losses for the municipalities located near the bridges. This dissertation aims to propose the design of a floating protection system for the bridge over the Guamá River. It starts by analyzing the parameters required for energy and impact force calculation regarding vessel collisions with bridge infrastructure. It evaluates the annual collapse frequency, dependent on a study of the probabilities involved in impacts, and concludes with a static structural analysis, employing finite element methods, of the structure's behavior under impact. A methodology utilized is primarily based on understanding the vessels commonly navigating the Guamá- Capim waterway. It follows by employing statically equivalent equations for force and impact energy from various international studies and standards. It also delineates sufficient variables for calculating several probabilities involved in the bridge collapse study. Normative results indicate that the impact force derived from AASHTO is more conservative than Eurocode 1, and the average difference between energies at different impact angles is 4.06 MJ for an impact velocity of 4.5 m/s. For head-on impacts, AASHTO and Eurocode 1 yield similar results for an impact velocity of 4.5 m/s. Moreover, the annual collapse frequencies were obtained based on the number of vessels, impact velocity, and bridge strength, suggesting the need for a floating protection system for the bridge. Consequently, structural analyses conducted on three distinct geometries of the protective barrier, referred to as "modules," identified how energy dissipates during impact. The first part of the conclusion indicates that, for proposals of bridge protection systems against convoy collisions, the most suitable approaches are those represented by American and European standards. This is due to their clarity in providing estimates of energy and impact force and their ability to provide an understanding of the necessary capacity for floating defenses to withstand convoy impacts, a fact corroborated by structural analyses.
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ROBERT WILLIAN QUEIROZ FARIAS
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HYDRODYNAMIC MODELING OF ENERGY POTENTIAL ON THE INNER CONTINENTAL PLATFORM OF AMAPÁ (EASTERN AMAZON - BRAZIL)
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Data: 30/06/2023
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The present study focused on the analysis and dynamics of tidal currents with the aim of generating natural energy in estuaries, based on a case study conducted in a coastal region with significant tidal influence. Therefore, hydrodynamic research plays a crucial role in forecasting and producing energy from the natural flow of currents. In this context, the primary objective of this study was to generate hydrodynamic scenarios in the Inner Continental Shelf of Amapá (ICSA) based on the creation of current patterns over a lunar cycle (spring and neap tides) that includes half ebb tide, half flood tide, high tide, and low tide. The methodology employed consisted of the following stages: conducting a comprehensive literature review, determining the geomorphological characteristics of the Varador Channel bed using an SRTM model for terrain analysis, creating hydrodynamic scenarios in the ICSA based on the use of the 2DH hydrodynamic model (Base System for Environmental Hydrodynamics - SisBaHia), digitizing coastal and maritime contours using Surfer software to create the necessary grids and domains for the hydrodynamic model, processing wind data, harmonic constants, and roughness parameters in Excel, and subsequently incorporating them into the hydrodynamic model, validating the data to ensure accurate representation of simulations, identifying areas in the ICSA with energy potential through tidal currents, calculating the energy potential of tidal currents, and identifying appropriate technologies for electricity generation based on local characteristics. Through the simulation conducted in SisBaHia, it was possible to obtain a representation of sea level elevation over a period of 30 days starting from 01/04/2021. This allowed the identification of moments corresponding to half ebb tide, half flood tide, high tide, and low tide in the spring and neap tide cycles. The results of simulations for spring and neap tide cycles revealed two promising areas located in the Varador Channel, where tidal current velocities ranged from 0.9 to 1.80 m.s-1 and energy density ranged from 373.61 W.m-2 to 1835 W.m-2. The energy density reached its maximum value in the upper stretch of the channel, near the Igarapé do Inferno (Maracá Island), where tidal currents are strongest.
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RHUAN FRACALOSSI MELO
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PREDICTION OF FUEL CONSUMPTION OF VESSELS IN THE AMAZON VIA MACHINE LEARNING
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Data: 30/06/2023
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It is estimated that approximately two-thirds of operational costs are related to the fuel consumption of vessels in the waterway transportation mode, a significant portion from an economic standpoint. This impacts the viability of operations and increases the cost of services provided by companies and organizations operating in this sector. With this motivation, this study’s main objective is to develop an analytical predictive model for fuel consumption in vessels operating in the Amazon region using machine learning. It emphasizes the attributes that most impact the target variable, whether they are physical, structural, or operational, and the existing relationships between them. The process began with data collection and preprocessing, establishing a general standard to ensure optimal data analysis performance. Attribute Importance Algorithms were used to identify the parameters with the greatest influence on fuel consumption, also providing a local analysis of the records for each attribute and the correlation between variables. Subsequently, six machine learning algorithms were applied to extract patterns and develop the winning model, evaluated according to performance metrics such as Mean Absolute Error, Mean Squared Error, Root Mean Squared Error, and Coefficient of Determination. Finally, it was possible to investigate the main physical, structural, and operational characteristics of vessels in the Amazon region, such as length, width, draft, among others, and confirm the effectiveness of machine learning models. The predictive model developed using the CatBoost algorithm achieved a coefficient of determination of 91%, providing satisfactory predictions for fuel consumption in known vessels.
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VÂNIA FIGUEREDO COELHO GUEDES
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MODEL OF ARTIFICIAL NEURAL NETWORKS FOR PREDICTING METEOROLOGICAL TIDE HEIGHT IN PORT ACCESS CHANNELS: A CASE STUDY IN PARÁ RIVER
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Data: 23/06/2023
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This work deals with a model of artificial neural networks (ANN) created to determine the forecast of the height of the meteorological tide in port access channels, with emphasis on the study on the Pará River, which is the access entrance to the Port Complex of Barcarena - PA. A detailed study was carried out on time series, in particular, the astronomical tide in the region, allowing to obtain the harmonic analysis and generation of the harmonic constants of the tide and subsequent prediction of the astronomical tide in the region under study. Next, ANN's were developed with astronomical tide data as input and meteorological tide as output. The neural networks were generated using the Perceptron Network concept and were trained by applying the backpropagation algorithm. The ANN's created to predict the meteorological tide were developed separately for three different stations in strategic positions (Ilha dos Guarás, Soure and Ilha de Mosqueiro) to evaluate the data as it enters the estuary. Root mean squared error (RMSE) values were 0.0566 for Ilha dos Guarás, 0.0752 for Soure and 0.13 for Ilha de Mosqueiro, which proves that the further you go into the river, the greater the errors between the values, that is, the smaller the influence of the astronomical tide on the heights of the meteorological tide.
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LUCIO CARLOS PINHEIRO CAMPOS FILHO
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OPERATING DRAFT FORECAST MODEL AND CARGO CAPACITIES OF RIVER TRAINS VIA MACHINE LEARNING FROM TEMPERATURES AND PRECIPITATIONS OBTAINED BY REMOTE SENSING
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Data: 22/06/2023
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Inland waterways are vulnerable to climate change, as river navigation depends on water levels. As an example, there are the impacts of changes in temperature and pressure in the Pacific Ocean that lead to changes in the hydrological cycle, especially in precipitation, causing changes in the seasonal configuration of water depths, suffering influences from El Niño and La Niña. This seasonality of river watercourses is characterized as a limiting factor for transport in locations where this limitation is considerable, directly affecting the loading conditions of vessels that use waterways, a fact that justifies the importance of developing tools capable of to assess and analyze these negative influences, to mitigate them. Linked to this, it should be noted that in these river courses, another highlight that directly influences navigation is characterized by the scarcity and quality of data from in situ rainfall and fluviometric stations for use in forecast models, facts that justify the use of data obtained via satellite. Within this context, therefore, this work aimed at the elaboration of a forecast model of water depths and operational drafts via Artificial Neural Networks of the Multilayer Perceptron type and Recurrent Neural Network from temperatures and precipitations obtained by satellite with the Google Earth platform Engine, in order to make it possible to obtain the load capacities of a type vessel for a given waterway, evaluating the impacts on this transport in flood and dry conditions. As a way of validating the developed models, a case study was applied to the Madeira River, in the stretch from Porto Velho to Cujubim, in the Amazon Basin, in Brazil, where the movement of cargo, especially the transport of grains, is strong and dependent on the waterway modal. The planialtimetric conditions of the waterway were evaluated in terms of depth and width with the generation of the Digital Elevation Model and application of the software “DimChannel” (Dimensioning of Navigation Channel) in the process of geometric dimensioning of the navigation channel. The results obtained for the case study were satisfactory and made it possible to validate the developed modules and make it possible to measure capacity losses during dry periods, as well as to verify navigation bottlenecks.
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RODRIGO DOS SANTOS SAAVEDRA
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STRATEGY FOR PROPULSIVE SYSTEM SELECTION: MIRITITUBA-VILA DO CONDE ROUTE CASE
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Data: 23/05/2023
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In the field of complex analyses, such as those involving perspectives of unparalleled units within the same study, the need for methods that can measure performance to decisions without losing information and in the face of different factors is inherent. To measure gains in terms of transport efficiency, the paper presents a new integrated decision-making method to compare performances of alternative propulsion systems for river trains located on the Miritituba-Vila do Conde route. The paper is also motivated as a result of the increase in production and exports in the Amazon region, taken by restricted waterways, which should cause problems resulting from large-scale navigation in the region. After analyzing several factors that influence the region's performance, an assessment was established given the perspectives of security, costs and energy efficiency. Also, this work highlights modern approaches to the MCDM methods used in the research, addressing the results and advantages of each method. To investigate the reliability of the proposed method, a sensitivity analysis using the ELECTRE method was used. Both results demonstrated that the use of diesel-electric propulsion with azimuth thrusters in the studied route would increase the energy efficiency of navigation and safety in comparison to the other evaluated alternatives, therefore, being the alternative with the highest performance of the analysis. The comparison of methods and results showed the veracity of the results obtained in an analysis process, even using incomparable perspectives. The main contribution of this paper is the integration of different perspectives without the loss of information, conceptualizing differences between the alternatives presented. It is believed that the process adopted will contribute vehemently to a better analysis of specific systems from multiple perspectives, providing a simple but reliable decision making.
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DEMETRIO DIB HAGE NETO
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FEASIBILITY ANALYSIS OF IMPLEMENTING A LOGISTICS INTEGRATION CENTER IN THE AMAZON REGION: A CASE STUDY IN THE STATE OF PARÁ
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Data: 30/03/2023
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The celebrated and constant evolution of operating operations and market companies compensate for the integration of process participants and the need to promote new operating strategies, as well as the integration of process participants, as well as the need for integration of participants in the process. process. resources involved in the supply chain. from this scenario of need for evolution and modification of market relations, the use and implementation of outstanding projects of logistics integration centers as a way of improving the logistics reality. Corroborating this reality, the main objective of this research was to verify the feasibility and benefits generated from the implementation of a Logistics Integration Center in the State of Pará - CILOG, from the perspective of the demand for production flow, availability of modal and location. To verify the feasibility of production for implementation, foam consulted without data regarding load states and load locations in adjacent areas, as well as potential, functionalities and resources of the implementation systems, with flow as the main centers of selection and, systematic and systematic way, of the feasibility and evaluation of the benefits generated from the implementation of the needs of the demand for services of attendance of the neighboring states, as well as of the entrances for the attendance of the neighboring states demand of flow of the production, availability of modals and geographic location . For this, an A-SWOT hybrid methodology was applied to define the HP location criteria and the decision factors that characterize the implementation of logistics such as the Logistics Integration Center (CILOG) in the Amazon Region, as well as the definition of the best for this implementation. , based on three local alternatives: Santarém (on the banks of the Amazon River), Alça Viária (on the banks of the Guamá River) and Miritituba (on the banks of the Tapajós River).
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