Simulation-based knowledge management in airport operations

Capturing and retaining knowledge in any organization is a major challenge. This talk describes how these challenges have been addressed through simulation and modeling techniques for complex engineered systems. A series of case studies that focus on airport processes are used to demonstrate the concepts. Furthermore, the additional benefits that a simulation model can bring, through online control and decision-making support, are discussed.

Structural damage identification based on self-fitting ARMAX model and multi-sensor data fusion

Statistical time series methods have proven to be a promising technique in structural health monitoring, since it provides a direct form of data analysis and eliminates the requirement for domain transformation. Latest research in structural health monitoring presents a number of statistical models that have been successfully used to construct quantified models of vibration response signals. Although a majority of these studies present viable results, the aspects of practical implementation, statistical model construction and decision-making procedures are often vaguely defined or omitted from presented work. In this article, a comprehensive methodology is developed, which essentially utilizes an auto-regressive moving average with exogenous input model to create quantified model estimates of experimentally acquired response signals. An iterative self-fitting algorithm is proposed to construct and fit the auto-regressive moving average with exogenous input model, which is capable of integrally finding an optimum set of auto-regressive moving average with exogenous input model parameters. After creating a dataset of quantified response signals, an unlabelled response signal can be identified according to a 'closest-fit' available in the dataset. A unique averaging method is proposed and implemented for multi-sensor data fusion to decrease the margin of error with sensors, thus increasing the reliability of global damage identification. To demonstrate the effectiveness of the developed methodology, a steel frame structure subjected to various bolt-connection damage scenarios is tested. Damage identification results from the experimental study suggest that the proposed methodology can be employed as an efficient and functional damage identification tool. © The Author(s) 2014.

Newly Automated System For Integrated Assessment Of The Conditions Of Underwater Gas Pipelines

An underwater gas pipeline is the portion of the pipeline that crosses a river beneath its bottom. Underwater gas pipelines are subject to increasing dangers as time goes by. An accident at an underwater gas pipeline can lead to technological and environmental disaster on the scale of an entire region. Therefore, timely troubleshooting of all underwater gas pipelines in order to prevent any potential accidents will remain a pressing task for the industry. The most important aspect of resolving this challenge is the quality of the automated system in question. Now the industry doesn't have any automated system that fully meets the needs of the experts working in the field maintaining underwater gas pipelines. Principle Aim of this Research: This work aims to develop a new system of automated monitoring which would simplify the process of evaluating the technical condition and decision making on planning and preventive maintenance and repair work on the underwater gas pipeline. Objectives: Creation a shared model for a new, automated system via IDEF3; Development of a new database system which would store all information about underwater gas pipelines; Development a new application that works with database servers, and provides an explanation of the results obtained from the server; Calculation of the values MTBF for specified pipelines based on quantitative data obtained from tests of this system. Conclusion: The new, automated system PodvodGazExpert has been developed for timely and qualitative determination of the physical conditions of underwater gas pipeline; The basis of the mathematical analysis of this new, automated system uses principal component analysis method; The process of determining the physical condition of an underwater gas pipeline with this new, automated system increases the MTBF by a factor of 8.18 above the existing system used today in the industry.

Análise de confiabilidade de uma bomba centrífuga: aplicação na injeção de água para recuperação de petróleo

The oil industry`s need to produce with maximum efficiency, not to mention the safety and the environment aspects, encourages the optimization of processes. It makes them look for a level of excellence in acquisition of equipment, ensuring the quality without prejudice security of facilities and peoples. Knowing the reliability of equipment and that this stands for a system is fundamental to the production strategy to seeks the maximum return on investment. The reliability analysis techniques have been increasingly applied in the industry as strategy for predicting failures likelihood ensuring the integrity of processes. Some reliability theories underlie the decisions to use stochastic calculations to estimate equipment failure. This dissertation proposes two techniques associating qualitative (through expertise opinion) and quantitative data (European North Sea oil companies fault database, Ored) applied on centrifugal pump to water injection system for secondary oil recovery on two scenarios. The data were processed in reliability commercial software. As a result of hybridization, it was possible to determine the pump life cycle and what impact on production if it fails. The technique guides the best maintenance policy - important tool for strategic decisions on asset management.

Knowledge-based integrated production management model

Purpose - This paper aims to propose a model of production management that integrates knowledge management, as a third dimension, to the production and work dimensions and to identify factors that promote a favorable context for knowledge sharing and results achievement in the production operations shop floor environment.Design/methodology/approach - The model proposed is built from opportunities identified in the literature review.Findings - The factors in the model integrate its three main components: knowledge management, production organization and work organization, providing a representation of the dynamics of the workplace and shop floor environment.Practical implications - The proposed model and its factors allow managers to better understand and to improve the organization activities, because it integrates knowledge management with the production organization and work organization components of traditional models.Originality/value - Literature acknowledges the role of knowledge as competitive advantage, but it is still dealt in an implicit way within the traditional models of production management. This paper proposes a model and factors that provide a favorable context for tacit knowledge sharing and results achievement in the production operations shop floor environment. The model explicitly integrates knowledge management with traditional models' components.

Robust fault diagnosis in power distribution systems based on fuzzy ARTMAP neural network-aided evidence theory

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Coastal Marine Mapping as an Ecosystem Based Management - the case study of the Baixada Santista Region - São Paulo, Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Maintenance of a reducer by vibration and wear particles analysis

Purpose - The purpose of the paper is to provide information on wear debris on oil and vibration analysis as predictive maintenance techniques in reducer. Design/methodology/approach - The estate of a reducer is verified by analyzing the vibration and oil conditions of a test rig under well-designed conditions utilizing some predictive variables. Findings - According to the vibration and oil analysis it is found out what it was happening into the reducer without disassembling it. Practical implications - This paper demonstrates the use of oil debris analysis and vibration analysis as a technique that enhances preventive maintenance practices. The paper helps practitioners to utilize these techniques more effectively. Originality/value - This paper gives information about two predictive maintenance techniques with a test rig. © Emerald Group Publishing Limited.

The meaning of evidence-based management to brazilian senior nurse leaders

Purpose: The study objective was to understand the meaning of evidence-based management for senior nurse leaders in accredited, public hospitals in the State of Sao Paulo, Brazil. Design and Method: A phenomenological approach was used to analyze interviews conducted with 10 senior nurse leaders between August 2011 and March 2012. The analytic method was developed by the Brazilian phenomenologist, Martins. Findings: Senior nurse leaders described how they critically appraise many sources of evidence when making managerial decisions. They emphasized the importance of working with their teams to locally adapt and evaluate best evidence associated with managerial decision making and organizational innovations. Their statements also demonstrated how they use evidence-based management to support the adoption of evidence-based practices. They did not, however, provide specific strategies for seeking out and obtaining evidence. Notable challenges were traditional cultures and rigid bureaucracies, while major facilitators included accreditation, teamwork, and shared decision making. Conclusions: Evidence-based management necessitates a continuous process of locating, implementing, and evaluating evidence. In this study leaders provided multiple, concrete examples of all these processes except seeking out and locating evidence. They also gave examples of other leadership skills associated with successful adoption of evidence-based practice and management, particularly interdisciplinary teamwork and shared decision making. Clinical Relevance: This study demonstrates senior nurse leaders' awareness and utilization of evidence-based management. The study also suggests what aspects of evidence-based management need further development, such as more active identification of potential, new organizational innovations. © 2013 Sigma Theta Tau International.

Manutenção planejada para a redução de falhas e defeitos que ocorrem em equipamentos de uma empresa do setor de energia elétrica

A preocupação com as rotinas de manutenção normalmente está relacionada à falha de um processo ou equipamento (manutenção corretiva). O controle sistemático da manutenção e operação dos ativos é considerado um alto ponto de redução de custos e aumento da disponibilidade operacional para o planejamento estratégico. Como resultado, tem-se na área de manutenção, uma grande quantidade de métodos, software, modelos e ferramentas de gestão disponíveis. Dentre eles, dois métodos se destacam: o RCM (Reliability Centered Maintenance ou Manutenção Centrada em Confiabilidade), de origem norte-americana, e o TPM (Total Productive Maintenance ou Manutenção Produtiva Total), de origem japonesa. Desta forma, o objetivo principal deste trabalho é estudar a sistemática do planejamento estratégico e da manutenção planejada para a redução de falhas e defeitos que ocorrem em equipamentos, a partir das metodologias propostas pelos principais autores da área de planejamento estratégico e manutenção, com o intuito de propor melhorias na utilização desta ferramenta. Com base no referencial teórico (Amendola, Berndt, Coimbra, Certo, Copser, Nakajima, Mendes, Moreira, Moubray, Oliveira, Kaplan entre outros) estudado, foi possível iniciar a compreensão do planejamento da gestão da manutenção planejada da Usina Hidrelétrica de Tucuruí e suas práticas de desempenho em relação às práticas de referência e dos principais indicadores estratégicos destacados por esses autores. Esta pesquisa possibilitou avaliar que o atual procedimento adotado em Tucuruí está alinhado com todos os pensadores estudados, bastando apenas à melhor disseminação de todos os conceitos entre todos os níveis hieraquicos de planejamento e execução.

Barriers to green buildings at two Brazilian engineering schools

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Utility Harmonic Impedance Measurement Based on Data Selection

Determination of the utility harmonic impedance based on measurements is a significant task for utility power-quality improvement and management. Compared to those well-established, accurate invasive methods, the noninvasive methods are more desirable since they work with natural variations of the loads connected to the point of common coupling (PCC), so that no intentional disturbance is needed. However, the accuracy of these methods has to be improved. In this context, this paper first points out that the critical problem of the noninvasive methods is how to select the measurements that can be used with confidence for utility harmonic impedance calculation. Then, this paper presents a new measurement technique which is based on the complex data-based least-square regression, combined with two techniques of data selection. Simulation and field test results show that the proposed noninvasive method is practical and robust so that it can be used with confidence to determine the utility harmonic impedances.

Chaotic encryption method based on life-like cellular automata

A chaotic encryption algorithm is proposed based on the "Life-like" cellular automata (CA), which acts as a pseudo-random generator (PRNG). The paper main focus is to use chaos theory to cryptography. Thus, CA was explored to look for this "chaos" property. This way, the manuscript is more concerning on tests like: Lyapunov exponent, Entropy and Hamming distance to measure the chaos in CA, as well as statistic analysis like DIEHARD and ENT suites. Our results achieved higher randomness quality than others ciphers in literature. These results reinforce the supposition of a strong relationship between chaos and the randomness quality. Thus, the "chaos" property of CA is a good reason to be employed in cryptography, furthermore, for its simplicity, low cost of implementation and respectable encryption power. (C) 2012 Elsevier Ltd. All rights reserved.