975 resultados para RAMS (Reliability, Availability, Maintainability, Safety), Aircraft Maintenance


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The U.S. railroad companies spend billions of dollars every year on railroad track maintenance in order to ensure safety and operational efficiency of their railroad networks. Besides maintenance costs, other costs such as train accident costs, train and shipment delay costs and rolling stock maintenance costs are also closely related to track maintenance activities. Optimizing the track maintenance process on the extensive railroad networks is a very complex problem with major cost implications. Currently, the decision making process for track maintenance planning is largely manual and primarily relies on the knowledge and judgment of experts. There is considerable potential to improve the process by using operations research techniques to develop solutions to the optimization problems on track maintenance. In this dissertation study, we propose a range of mathematical models and solution algorithms for three network-level scheduling problems on track maintenance: track inspection scheduling problem (TISP), production team scheduling problem (PTSP) and job-to-project clustering problem (JTPCP). TISP involves a set of inspection teams which travel over the railroad network to identify track defects. It is a large-scale routing and scheduling problem where thousands of tasks are to be scheduled subject to many difficult side constraints such as periodicity constraints and discrete working time constraints. A vehicle routing problem formulation was proposed for TISP, and a customized heuristic algorithm was developed to solve the model. The algorithm iteratively applies a constructive heuristic and a local search algorithm in an incremental scheduling horizon framework. The proposed model and algorithm have been adopted by a Class I railroad in its decision making process. Real-world case studies show the proposed approach outperforms the manual approach in short-term scheduling and can be used to conduct long-term what-if analyses to yield managerial insights. PTSP schedules capital track maintenance projects, which are the largest track maintenance activities and account for the majority of railroad capital spending. A time-space network model was proposed to formulate PTSP. More than ten types of side constraints were considered in the model, including very complex constraints such as mutual exclusion constraints and consecution constraints. A multiple neighborhood search algorithm, including a decomposition and restriction search and a block-interchange search, was developed to solve the model. Various performance enhancement techniques, such as data reduction, augmented cost function and subproblem prioritization, were developed to improve the algorithm. The proposed approach has been adopted by a Class I railroad for two years. Our numerical results show the model solutions are able to satisfy all hard constraints and most soft constraints. Compared with the existing manual procedure, the proposed approach is able to bring significant cost savings and operational efficiency improvement. JTPCP is an intermediate problem between TISP and PTSP. It focuses on clustering thousands of capital track maintenance jobs (based on the defects identified in track inspection) into projects so that the projects can be scheduled in PTSP. A vehicle routing problem based model and a multiple-step heuristic algorithm were developed to solve this problem. Various side constraints such as mutual exclusion constraints and rounding constraints were considered. The proposed approach has been applied in practice and has shown good performance in both solution quality and efficiency.

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Työssä luodaan energiapuun varastonhallintamalli ja hankintamalli energiantuotantolaitoksen näkökulmasta sekä kuvataan kustannustehokkaita ja toimitusvarmoja vaihtoehtoja puupolttoaineen varastoinnille ja haketukselle. Varastonhallintamallissa keskitytään varastotason hallintamenetelmiin toimintaympäristössään. Hankintamalli määrittää oman varaston ja suoran laitostoimituksen suhteen sekä auttaa pohtimaan strategisen hankinnan merkitystä hankinnan toteuttamiseen ja hankintakanavien valintaan. Työ antaa vastauksia koko hankintatoiminnan toteutukseen ja hallitsemiseen. Varastonhallintamallin skenaariotarkastelussa selvisi, että yrityksen oma varasto vaatii 18 – 37 % varmuusvaraston suhteessa käyttövarastoon. Hankintamallin mukaan oman varaston kannattavimman puupolttoainejakeen hankintaetäisyys voisi olla keskimäärin korkeintaan 96 km. Tarpeen, saatavuuden, jakeiden kustannustasojen ja toimintaympäristön mahdollisuuksien ollessa selvillä, on mahdollista tehdä päätöksiä hankintakanavista ja varmuusvarastoista kustannustehokkuuden perusteella. Yrityksen polttoainemäärien ohjauksen toteutukseen vaaditaan kehittämistoimia. Oman toimintaympäristön vakiointi ja toimintamallien dokumentointi on tärkeää tiedonjaon, toimitussopimusten mitoittamisen ja toiminnan kehittämisen kannalta. Toiminnan pullonkaulojen vähentäminen ja puupolttoaineen ohjaaminen kustannustehokkaimpien haketusketjujen kautta mahdollisimman tehokkaasti synnyttävät kustannussäästöjä toimitusketjussa.

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Este trabalho de investigação tem como objetivo aferir quais as tarefas e valências específicas necessárias para a manutenção permanente de UAS, em contraste com os requisitos preconizados nos regulamentos de aeronavegabilidade permanente de aeronaves militares. A aeronavegabilidade consiste na avaliação e certificação de uma aeronave voar de acordo com os padrões de segurança estabelecidos. Esta é dividida em aeronavegabilidade continuada, que avalia a condição de uma aeronave após a sua construção, e a aeronavegabilidade permanente, que estabelece as ações de manutenção necessárias para manter os níveis de aeronavegabilidade pretendidos durante a sua operação. Para assegurar que os UAS atingem os padrões aeronáutica atuais, é importante perceber como os regulamentos podem ser adaptados para responder à sua especificidade. Para aferir quais as tarefas e valências de manutenção específicas para UAS, é desenvolvido um modelo qualitativo e indutivo fazendo uso da análise de literatura e dados recolhidos através de entrevistas estruturadas a pessoal de manutenção de UAS. As dimensões consideradas seguem o modelo SHELL preconizado pela ICAO para a análise de fatores humanos em sistemas aeronáuticos. A partir do modelo gerado, é sintetizado um conjunto de conteúdos curriculares como proposta para adequação a UAS dos conteúdos requeridos no EMAR 66. Abstract: This research work has the objective of assessing which specific tasks and skills are necessary for the continuous maintenance of UAS, in contrast with the requirements recommended in the rules and regulations for continuous airworthiness of militar aircrafts. Airworthiness consists on the evaluation and certification of the capability of an aircraft to fly in compliance with the established safety standards. It is divided in initial airworthiness, which evaluates the condition of na aircraft after its construction, and the continuous airworthiness, which establishes what are the necessary maintenance actions in order to keep the desired airworthiness levels during operation. In order to assure that UAS meet the current aeronautics standards, it is paramount to understand how the rules and regulations can be adapted to cope with its specific features. In order to understand which are the specific maintenance tasks and skills specific for UAS, it is developed a qualitative and inductive model taking into consideration a literature analysis and structured interviews to UAS maintenance personnel. The dimensions considered follow the SHELL model recommended by ICAO for the analysis of human factors in aviation. From the developed model, it is synthesized a set of learning topics that serves as a proposal for extending the basic skills required by the EMAR 66.

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Introduction Tuberculosis (TB) is caused by Mycobacterium tuberculosis and is transmitted mainly through aerosolization of infected sputum which puts laboratory workers at risk in spite of the laboratory workers’ risk of infection being at 3 to 9 times higher than the general public. Laboratory safety should therefore be prioritized and optimized to provide sufficient safety to laboratory workers. Objective To assess the safety for the laboratory workers in TB primary microscopy centres in Blantyre urban. Methodology TB primary microscopy centers in Blantyre urban were assessed in aspects of equipment availability, facility layout, and work practice, using a standardized WHO/AFRO ISO 15189 checklist for the developing countries which sets the minimum safety score at ≥80%. Each center was graded according to the score it earned upon assessment. Results Only one (1) microscopy center out nine (9) reached the minimum safety requirement. Four (4) centers were awarded 1 star level, four (4) centers were awarded 2 star level and only one (1) center was awarded 3 star level. Conclusion In Blantyre urban, 89% of the Tuberculosis microscopy centers are failing to provide the minimum safety to the laboratory workers. Government and other stake holders should be committed in addressing the safety challenges of TB microscopy centres in the country to ensure safety for the laboratory workers. Recommendations It is recommended that the study be conducted at the regional or national level for both public and private laboratories in order to have a general picture of safety in Tb microscopy centres possibly across the country.

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Motion planning, or trajectory planning, commonly refers to a process of converting high-level task specifications into low-level control commands that can be executed on the system of interest. For different applications, the system will be different. It can be an autonomous vehicle, an Unmanned Aerial Vehicle(UAV), a humanoid robot, or an industrial robotic arm. As human machine interaction is essential in many of these systems, safety is fundamental and crucial. Many of the applications also involve performing a task in an optimal manner within a given time constraint. Therefore, in this thesis, we focus on two aspects of the motion planning problem. One is the verification and synthesis of the safe controls for autonomous ground and air vehicles in collision avoidance scenarios. The other part focuses on the high-level planning for the autonomous vehicles with the timed temporal constraints. In the first aspect of our work, we first propose a verification method to prove the safety and robustness of a path planner and the path following controls based on reachable sets. We demonstrate the method on quadrotor and automobile applications. Secondly, we propose a reachable set based collision avoidance algorithm for UAVs. Instead of the traditional approaches of collision avoidance between trajectories, we propose a collision avoidance scheme based on reachable sets and tubes. We then formulate the problem as a convex optimization problem seeking control set design for the aircraft to avoid collision. We apply our approach to collision avoidance scenarios of quadrotors and fixed-wing aircraft. In the second aspect of our work, we address the high level planning problems with timed temporal logic constraints. Firstly, we present an optimization based method for path planning of a mobile robot subject to timed temporal constraints, in a dynamic environment. Temporal logic (TL) can address very complex task specifications such as safety, coverage, motion sequencing etc. We use metric temporal logic (MTL) to encode the task specifications with timing constraints. We then translate the MTL formulae into mixed integer linear constraints and solve the associated optimization problem using a mixed integer linear program solver. We have applied our approach on several case studies in complex dynamical environments subjected to timed temporal specifications. Secondly, we also present a timed automaton based method for planning under the given timed temporal logic specifications. We use metric interval temporal logic (MITL), a member of the MTL family, to represent the task specification, and provide a constructive way to generate a timed automaton and methods to look for accepting runs on the automaton to find an optimal motion (or path) sequence for the robot to complete the task.

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The U.S. Nuclear Regulatory Commission implemented a safety goal policy in response to the 1979 Three Mile Island accident. This policy addresses the question “How safe is safe enough?” by specifying quantitative health objectives (QHOs) for comparison with results from nuclear power plant (NPP) probabilistic risk analyses (PRAs) to determine whether proposed regulatory actions are justified based on potential safety benefit. Lessons learned from recent operating experience—including the 2011 Fukushima accident—indicate that accidents involving multiple units at a shared site can occur with non-negligible frequency. Yet risk contributions from such scenarios are excluded by policy from safety goal evaluations—even for the nearly 60% of U.S. NPP sites that include multiple units. This research develops and applies methods for estimating risk metrics for comparison with safety goal QHOs using models from state-of-the-art consequence analyses to evaluate the effect of including multi-unit accident risk contributions in safety goal evaluations.

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In the operational context of industrial processes, alarm, by definition, is a warning to the operator that an action with limited time to run is required, while the event is a change of state information, which does not require action by the operator, therefore should not be advertised, and only stored for analysis of maintenance, incidents and used for signaling / monitoring (EEMUA, 2007). However, alarms and events are often confused and improperly configured similarly by developers of automation systems. This practice results in a high amount of pseudo-alarms during the operation of industrial processes. The high number of alarms is a major obstacle to improving operational efficiency, making it difficult to identify problems and increasing the time to respond to abnormalities. The main consequences of this scenario are the increased risk to personal safety, facilities, environment deterioration and loss of production. The aim of this paper is to present a philosophy for setting up a system of supervision and control, developed with the aim of reducing the amount of pseudo-alarms and increase reliability of the information that the system provides. A real case study was conducted in the automation system of the offshore production of hydrocarbons from Petrobras in Rio Grande do Norte, in order to validate the application of this new methodology. The work followed the premises of the tool presented in ISA SP18.2. 2009, called "life cycle alarm . After the implementation of methodology there was a significant reduction in the number of alarms

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The information contained in this Annual Safety and Security Report is provided to new and prospective students and employees, as well as their families, and all current members of the campus community. It contains Public Safety Services and Programming,Building Threat and Vulnerability Assessment Program,Campus Security authorities, Annual Preparation of Crime Statistics, Disclosure of Crime Statistics, Daily Crime Log, How to Report a Crime, Suspicious Activity or Emergency, Silent Witness Program, Relationship with Local Authorities, Off-Campus Violations & Criminal Activity, Confidential Reporting, Timely Warning Procedures, Emergency Response, Notification and Evacuation Procedures Activation Authority, Available Communications Media, Emergency Notification Tests, Emergency Evacuation Procedures, Shelter-in-Place Procedures,Crime Prevention and Safety Awareness Programs, Emergency Telephones, Access To Facilities, Maintenance of Buildings and Grounds, Alcohol and Other Drugs, Domestic Violence, Dating Violence, Sexual Assault, and Stalking, Sex Offender Registration, Weapons on Campus, Referrals for Disciplinary Action, Crime Information: Definitions and Statistics, Uniform Crime Reporting Definitions, Reporting Areas. Crime Statistics

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The availability of fresh-cut fruit (FCF) in the marketplace has been increasing in Portugal, although reports of its microbial quality are not known. Due to the growing concerns of these commodities over their microbial safety, the objectives of this work were to study the microbiological quality and prevalence of Salmonella and Listeria monocytogenes on fresh-cut fruits sold in southern Portugal. A study to examine the changes in pH and microbial counts, before and after the expiration dates, was also made. A total of 160 samples was purchased in the local grocery stores between September 2011 and August 2014, before their sell-by date. These samples were assayed for aerobic mesophilic (AM) and psychrotrophic (AP) microorganisms, yeasts and molds (YM), lactic-acid bacteria (LAB), coliforms (TC), Escherichia coli and coagulase positive staphylococci as well as L. monocytogenes and Salmonella. The microbiological counts ranged from 3.0-9.2 lg cfu/g (AM); 2.2–10.7 lg cfu/g (AP); 2.3–10.4 lg cfu/g (YM); 1.9–9.0 lg cfu/g (LAB) and less than 1–9.1 lg cfu/g (TC). The melons and watermelon presented the highest levels of the microbial quality parameters studied. However, no E. coli, staphylococci, Salmonella and L. monocytogenes were detected in any of the samples. After the sell-by date, an increase of the AM, AP, LAB and YM values was observed in all fruits. Conversely, the differences found in TC counts before and after the best-before date had no statistical significance. A decrease in pH was observed in all fruits except pineapple whose pH slightly increased after 14 days of storage. The results highlight the importance of preventing contamination and cross contamination, selecting adequate decontamination technologies and maintaining a strict temperature control during processing, distribution and selling of FCF.

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In aircraft components maintenance shops, components are distributed amongst repair groups and their respective technicians based on the type of repair, on the technicians skills and workload, and on the customer required dates. This distribution planning is typically done in an empirical manner based on the group leader’s past experience. Such a procedure does not provide any performance guarantees, leading frequently to undesirable delays on the delivery of the aircraft components. Among others, a fundamental challenge faced by the group leaders is to decide how to distribute the components that arrive without customer required dates. This paper addresses the problems of prioritizing the randomly arriving of aircraft components (with or without pre-assigned customer required dates) and of optimally distributing them amongst the technicians of the repair groups. We proposed a formula for prioritizing the list of repairs, pointing out the importance of selecting good estimators for the interarrival times between repair requests, the turn-around-times and the man hours for repair. In addition, a model for the assignment and scheduling problem is designed and a preliminary algorithm along with a numerical illustration is presented.

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Existing bridges built in the last 50 years face challenges due to states far different than those envisaged when they were designed, due to increased loads, ageing of materials, and poor maintenance. For post-tensioned bridges, the need emerged for reliable engineering tools for the evaluation of their capacity in case of steel corrosion due to lack of mortar injection. This can lead to sudden brittle collapses, highlighting the need for proper maintenance and monitoring. This thesis proposes a peak strength model for corroded strands, introducing a “group coefficient” that aims at considering corrosion variability in the wires constituting the strands. The application of the introduced model in a deterministic approach leads to the proposal of strength curves for corroded strands, which represent useful engineering tools for estimating their maximum strength considering both geometry of the corrosion and steel material parameters. Together with the proposed ultimate displacement curves, constitutive laws of the steel material reduced by the effects of corrosion can be obtained. The effects of corroded strands on post-tensioned beams can be evaluated through the reduced bending moment-curvature diagram accounting for these reduced stress-strain relationships. The application of the introduced model in a probabilistic approach allows to estimate peak strength probability functions and consecutive design-oriented safety factors to consider corrosion effects in safety assessment verifications. Both approaches consider two procedures that are based on the knowledge level of the corrosion in the strands. On the sidelines of this main research line, this thesis also presents a study of a seismic upgrading intervention of a case-study bridge through HDRB isolators providing a simplified procedure for the identification of the correct device. The study also investigates the effects due to the variability of the shear modulus of the rubber material of the HDRB isolators on the structural response of the isolated bridge.

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Energy transition is the response of humankind to the concerning effects of fossil fuels depletion, climate change and energy insecurity, and calls for a deep penetration of renewable energy sources (RESs) in power systems and industrial processes. Despite the high potentials, low impacts and long-term availability, RESs present some limits which need to be overcome, such as the strong variability and difficult predictability, which result in scarce reliability and difficult applicability in steady-state processes. Some technological solutions relate to energy storage systems, equipment electrification and hybrid systems deployment, thus accomplishing distributed generation even in remote sites as offshore. However, all of these actions cannot disregard sustainability, which represents a founding principle for any project, bringing together economics, reliability and environmental protection. To entail sustainability in RESs-based innovative projects, previous knowledge and tools are often not tailored or miss the novel objectives. This research proposes three methodological approaches, bridging the gaps. The first contribute adapts literature-based indicators of inherent safety and energy efficiency to capture the specificities of novel process plants and hybrid systems. Minor case studies dealing with novel P2X processes exemplify the application of these novel indicators. The second method guides the conceptual design of hybrid systems for the valorisation of a RES in a site, by considering the sustainability performances of alternative design options. Its application is demonstrated through the comparison of two offshore sites where wave energy can be valorised. Finally, “OHRES”, a comprehensive tool for the sustainable optimisation of hybrid renewable energy systems is proposed. “OHRES” hinges on the exploitation of multiple RESs, by converting ex-post sustainability indicators into discrimination markers screening a large number of possible system configurations, according to the location features. Five case studies demonstrate “OHRES” versatility in the sustainable valorisation of multiple RESs.

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Due to the interest of general public and the industrial stakeholders, new challenges and demands are rising in aircraft design. The sustainability is taking its place amongst more traditional design factors, such as safety, performances and costs. Sustainability is both environmental and economic, and among the factors contributing to economic sustainability, there is also passengers' comfort. In order to win these two challenges, they must be considered in the early stages of aircraft design. In this work, the focus is on emissions generation and acoustic comfort, aiming at reducing pollution and internal noise in the preliminary design phases. These results can be achieved with both unconventional aircraft configurations and advanced materials, which also require new numerical formulations to be assessed. In this research, on one hand, the windowless configuration for a commercial aircraft is studied with traditional preliminary design methods in order to achieve a weight reduction and consequently a return in terms of emissions and costs. On the other hand, a new class of insulating materials, the acoustic metamaterials, is applied on the passenger cabin lining panels. The complex kinematic behaviour of these advanced materials is studied through the Carrera's Unified Formulation, that enhances a wide class of powerful refined shell and beam theories with a unique formulation.

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The development of new “green” and sustainable approaches to reduce food wastes, guaranteeing food quality, microbiological safety and the environmental sustainability, is of great interest for food industry. This PhD thesis, as part of the European project BioProMedFood (PRIMA–Section2 Programme), was focused on two strategies: the use of natural antimicrobials and the application of microbial strains isolated from spontaneously fermented products. The first part concerned the valorisation of microbial biodiversity of 15 Mediterranean spontaneously fermented sausages, through the isolation of autochthonous lactic acid bacteria (LAB) strains, mainly Latilactobacillus sakei, that were characterised regarding their safety and technological aspects. The most promising strains were tested as bio-protective cultures in fresh sausages, showing promising anti-listerial activity, or as starter cultures in fermented sausages. The second part of the research was focused on the use of natural compounds (phenolic extracts and essential oils from Juniperus oxycedrus needles and Rubus fruticosus leaves) with antimicrobial potential. They were tested in vitro against List. monocytogenes and Enterococcus faecium, showing differences in relation to species and type of extracts, but they hint at important possibilities for applications in specific foods. Concluding, this PhD thesis highlighted the great potential of traditional meat products as an isolation source of new strains with industrial importance. Moreover, the antimicrobial potential of compounds obtained from plant matrices opened promising perspectives to exploit them as “green” strategies to increase fresh food safety. The last topic of research, carry out in collaboration with Department of Nutrition and Food Sciences (University of Granada), investigated the effect of LAB fermentation on avocado leaves by-products, focusing on the bio-availability of phenolic compounds in the plant extracts, caused by microbial metabolism.