EN - LIGM - Linha de Investigação em Gestão da Manutenção
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- Navy Ship Dynamic MaintenancePublication . Lampreia, S.; Vairinhos, V.; Lobo, V.A maintenance system complemented with condition monitoring is suggest being implemented in Navy Ships to allow its patrol on the large maritime territory of Portugal with high performance and operationality. To that an advanced maintenance system is required oriented towards Condition Monitoring. That must be done while maximizing system performance, as well as improved high level of ship availability and minimal oil consumption in the form e.g. lubricants or refrigerant gases but also marine gasoil reducing the environment impact. To meet these objectives, we propose the development of a Dynamic Maintenance Management System (DMMS) based on dynamic prioritization process for technical interventions. That is where Failure Modes, Effects and Criticality Analysis (FMECA) comes in - a structured risk analysis framework to mitigate the propensity of failures occurring with consequences on ship systems and persons. With FMECA, maintenance priorities can be changed somewhat dynamically due to components and failure modes that are most critical based on actual performance.
- Machine Learning applied to LCA of mechanical components obtained by SLMPublication . Alves, J.; Morgado, Pereira M.; Lampreia, S.Over time, industries are starting to be concern about their impact on the environment, and therefore new technologies, have arrived with the capability of improving the sustainability of the industrial paradigm. Machine Learning (ML) and Artificial Intelligence (AI) are taking over the global industry, by offering new data drive solutions capable of optimizing decision-making and operation. Meanwhile, new advanced manufacturing technologies such as Selective Laser Melting (SLM), also known as 3D printing, are spreading through the market, due to the new doors unlocked by the possibility of manufacturing high for a minimal time and use of material. Together, these new technologies of industry 4.0, promise to bring an all-new future, sustainable and resilient. The aim of this work is to analyze how can ML and AI expand each phase of the LCA of a light alloy, produced by SLM, in order to improve the sustainability of this new advanced manufacturing technologies.
- Advanced Methodologies Applied in a Dynamic Maintenance ContextPublication . Lampreia, S.; Lobo, Victor; Vairinhos, V.Maintaining military systems in a dynamic context presents unique challenges that require advanced methodologies to ensure the operational readiness and effectiveness of the Armed Forces. This article analyses and discusses advanced methodologies applied in the maintenance of military technology, highlighting their contributions to the optimization of the maintenance process in constantly evolving operational environments. Initially, we address the importance of predictive maintenance, which uses techniques such as real-time data analysis, condition monitoring and machine learning algorithms to predict failures and proactively schedule maintenance interventions. This approach minimizes downtime, and costs associated with corrective maintenance, significantly increasing the availability of military systems. Additionally, we explore the application of emerging technologies, databases and the use of smart sensors integrated into military equipment. These technologies enable the continuous collection of performance and condition data, enabling a more comprehensive understanding of the state of each component and system. This not only facilitates early detection of anomalies, but also supports data driven decision making, resulting in more efficient and accurate maintenance. The use of condition-based maintenance approaches is also discussed in this article. These methodologies consider not only the age or time of use of the equipment, but also its actual state of operation. By continuously monitoring operating conditions, it is possible to extend the life of systs, reduce unnecessary wear and tear, and plan maintenance interventions more effectively. Finally, we highlight the importance of integrating computer-aided maintenance management systems and decision support systems. The combination of these tools provides a comprehensive environment for planning, executing and analysing maintenance activities, enabling more efficient resource management and a more agile response to operational demands. In short, this article demonstrates how the adoption of advanced methodologies in the maintenance of military technology is fundamental to ensuring the operational readiness and effectiveness of the Armed Forces in a dynamic and constantly evolving context.
- Ship Dynamic MaintenancePublication . Lampreia, Suzana; Vairinhos, Valter; Lobo, Victor; Morgado, Teresa; Navas, HelenaConsidering the extent of the Portuguese sea and the naval ships necessary for its monitoring, the implementation of a maintenance system addressing those ships condition monitoring, is needed. That system must guarantee, also, a high performance of ships and systems availability, reduced pollution control, lubricants, refrigerant gases and marine gasoil consumptions. To achieve all this, a dynamic maintenance manage ment system (DMMS) based on a dynamic management of technical interventions is required. In this paper some risk analysis maintenance techniques are explored, and the most applicable ones will be applied to selected ship equipment. In the present research, a case study of a specific equipment is presented and the corresponding risk analysis in maintenance context is studied. The case study illustrates the importance of having a dynamic maintenance system allowing to act when needed, and, in case of no action, the risk of non-maintenance. To validate our theory the research results and its analysis will be highlighted, and, finally, some conclusions are presented.
- The Colombia Armed Conflict - A Review Until 2020Publication . Lampreia, S.Colombian armed conflict origins remote to the beginning of 20 cen tury, and even after the 2016 peace agreement, it is a reality. Colombia's armed conflict existed by the force of the armed hand of the FARC and other insur gents’ groups, they financed themselves in illegal acts like arms and drug traf ficking, abductions, coercion, and extortion. Till 2020, several FARC dissidents have returned to the guerrillas because they doubted Colombian political power defense their interests. This paper objective is to give a perspective of origins of the armed conflict in Colombia, and its development up to 2020. To expose the conflict, the facts and literature will be related demonstrating the conflict dy namic and involved actors. To support state-of-the-art during the 2016 peace agreement implementation, it was proceeded to interviews to some ex-observers that provided humanitarian support in the United Nations. In the end, it is pos sible to understand better the conflict, and it was made some reflections, which can contribute for possible solutions for the conflict.
- Dynamic Maintenance Based on Fuzzy LogicPublication . Lampreia Suzana; Mestre, Inês; Morgado T. & Navas H.Currently, certain maritime assets are confronted with the challenge of optimizing their performance, even when resources are limited. They strive to minimize intervention actions on equipment while upholding safety standards and acceptable performance levels. Ships, which are not yet autonomous, serve as maritime assets responsible for transporting personnel and systems. Maintaining these ships with high performance is imperative to ensuring the safety of both material and personnel. This not only prevents damage to the ships themselves but also mitigates the potential for personnel injuries and sea pollution. Organizations, scientific community, and stakeholders have been actively developing advanced systems to monitor data from ship equipment within the scope of maintenance management. This helps in preventing breakdowns and ensures real time knowledge about the equipment's condition. These systems employ various techniques for condition control using algorithms, statistical equations, and other methodologies on the collected data. In this investigation Fuzzy Logic will be applied to data from a selected equipment. For the case study, an air compressor from an ocean patrol vessel has been selected. This air compressor plays a crucial role on Navy ships and has been chosen by the Organization's Maintenance Management Centre for monitoring working hours and operational status.
- The Transformation of Maintenance with the Arise of Industry 4.0.Publication . Alves, J.; Morgado, T.; Navas, H.; Lampreia, S.; Abreu, A.; Dias, Ana
- Ships on Condition Data Driven Maintenance ManagementPublication . Lampreia, Suzana Paula Gomes Fernando da Silva; Lobo, Victor J. A. S.; Requeijo, José Gomes; Vairinhos, Valter MartinsOn condition maintenance management is gaining general acceptance both in ships as in other domains. This is a natural result given evolution of low cost sensors, statistical methodology, telecommunications, software and superabundance of observational data. In this paper we analyze the effects of digital revolution on the usual maintenance policies and anticipate its consequences on ships maintenance management. Specifically, we try to show that on condition maintenance is, intrinsically, a data driven maintenance policy and the natural solution that results from the convergence of those economic and technological realities. The existence of low cost, high quality sensors, means that sensor networks can be and are being installed in new and existing machinery projects. this means that high quality monitoring data is or can be continuously generated (thousand variables), at acceptble costs, covering all aspects considered relevant from the point of view of risks (consequences of failures), costs, nature and operational importance of equipment. This means the generation, transmission and in decisions and policies. the development of statistical methodology capable of transforming, in real time, those data mountains in useful knowledge is, nowadays, accomplished routinely using almost free software or, at least, easily accessible resources. The real problems are, frequently, realted with human resources and knowledge management, The paper identifies with real data examples some of the main consequences and issues associated to this new reality and its effects on main maintenance policies and mangement organizations.
- Diesel Engine Condition Monitoring Due to Different Operation AreasPublication . Lampreia, Suzana Paula Gomes Fernando da Silva; Lobo, Victor J. A. S.; Requeijo, José GomesWhen a ship design is developed, its engines are installed accordingly the owner requisites and the environment conditions in the designated operation area. Usually they are not adapted to sail all over the world. This implies that in some cases the power output cannot be the same for the safety of the engine, If a engine was conceived to operate on 16ºC of ocean sea, when it navigates on a 36ºC ocean, the engine power must be limited in order to not provoke major damage. Due to the fact, in this study two diesel engines will be monitor with online data collection and statistical treatment. The statistic treatment will be with the univariate control charts. With the engines operating on a range of ocean temperatures form 16ºC to 36ºC, the power limitatiom and the systems must be flexible due the use of the engines and consequently the use of ships over sea.
- Mapping the intellectual capital of cities and regionsPublication . Vairinhos, Valter MartinsContemporary cities or regions have complex challenges that require ongoing monitoring enabling intelligent answers in an appropriate period of time. There are many studies that indicate that this monitoring should take into account not only the tangible assets, but also the assets of intellectual capital. Several authors consider that these are the assets that are crucial either in sustainable innovation processes either in the process of developing the necessary reputation for building strong brands, able to attract talented people and investments. Based on the literature review and preliminary studies that compare the metrics for evaluating the intellectual capital of companies with the intellectual capital of the countries, this paper presents a theoretical model supporting the auditing and the mapping of intellectual capital management of cities and regions. This process is based on the creation of sensors for monitoring the intellectual capital and on the evaluation of how these are managed so as to support the decision making of the decision-makers and economic policy-makers. With this paper we intend to broaden the discussion on the importance of the decision makers of the strategies of cities or regions to support their choices on criteria that take into account the assets of intellectual capital.