Aplicação do processo hierárquico analítico (AHP) na priorização de áreas de risco geológico para a implantação de intervenções em assentamentos urbanos precários

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Modelo de gerenciamento da logística reversa integrado às questões estratégicas das organizações

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estigma social e as famílias de doentes com tuberculose: um estudo a partir das análises de agrupamento e de correspondência múltipla

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

Utilização do método AHP para análise de alterações de projetos, em instalações hospitalares

Customer focus , high competitiveness and striving for excellence in quality of service are some of the main features of the current market . Planned and make decisions with greater certainty is no longer an option a few years . The current managers are seeking ways to eliminate waste and increase financial and productive profitability of your company in order to achieve higher performance at a lower cost . The AHP is one of the main concepts of this goal by providing an analysis on multiple criteria , enhancing decision-making and enhancing the gains , with a technique that is designed to take into account all the key criteria for choosing an alternative , according to the perspective of the designer as both suppliers and customers . Emerging as a new way to minimize errors , and make an informed and consistent decision. The use of this method in construction projects is a recent phenomenon , which has much to be explored , an intense analysis of the processes is required to enable it to consider the concepts and present a consistent and grounded proposal

Auxílio na tomada de decisão na compra de uma máquina de usinagem a laser

Decision making is one of the most important factors for growth and future, both from a business, as in people's life and attitudes in the simplest of everyday day. This work aims to assist decision making in buying a laser cut machine, a manufacturer of auto parts and wheels, and later this technique can be considered to acquisition of other equipment. In this case was used the AHP to aid the decision by multiple criteria. First we analyzed the most important criteria of the current machine for the application of the method and were later made the application and sensitivity analysis

Seleção de fornecedores em uma indústria de transformadores utilizando o método de análise hierárquica

The optimal supply chain management (SCM) is considered by the companies a new frontier in order to gain efficiently competitive advantage. Through the SCM companies must define their competitive strategies by positioning inside the supply chain wich belongs both as suppliers and as consumers. The main objectives of SCM is integrate multiple suppliers to satisfy the market demand and make possible the synergies between the parts of the supply chain in order to better serve the consumer Meanwhile, selection, evaluation and development of suppliers play important roles in establishing an efficient supply chain. Thus, the SCM covers elements such as manufacturing, assembly, raw materials, and distribution to the final consumer. Due to the factors described, the focus of this paper is to present the Analytic Hierarchical Process (AHP) application as an appropriate and structured method for the supplier selection of a strategic line of low voltage transformers of a transformers industry and compare it with the selection process currently used by this industry, showing the advantages of applying a multiple criteria decision making method. In this study, the research methodology used was modeling and simulation

Aspectos técnicos, econômicos e de sustentabilidade da produção de hidrogênio renovável

Pós-graduação em Engenharia Mecânica - FEG

Vulnerabilidade ambiental dos recursos hídricos interceptados por rodovias na bacia do rio Uberaba

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Aplicação de métodos com múltiplos critérios em uma empresa petroquímica

The corporate world is increasingly competitive, and companies need to go deep into the routines and work them in order to understand them fully. The market is demanding more than simple improvements that bring advances - of small or great expression; however, in a longer term it will no longer meet the ideology of the market. Companies aimed at the world class must focus on projects that will continually bring returns to the company. As previously mentioned, understanding the processes in minute details is of paramount importance, as this knowledge can be acquired by analyzing the decisions that are necessary during the process. Once the complexity increases, the quantity and difficulty of the criteria that influence them grow accordingly. At this time, methods and tools that assist decisionmaking processes can be used as, besides being able to provide the best decision methods of MCDA (Multiple Criteria Decision Aid), they provide clear and assertive understanding of the whole decision process. In developing this study, we sought to explore the AHP (Analytic Hierarchy Process) method (a MCDA method) in the choice of access service, featured by the support service used to reach and be the basis of repairs in places of difficult access. This work proposes a study of the quantitative modeling approach in a real routine activity for a Brazilian petrochemical company. Decision-making processes are explored when we seek to analyze not only the decision makers but also what directly influences them on the use of the AIJ method. Once this is achieved, the understanding of decision-making is substantiated

Aplicação de métodos com múltiplos critérios em uma empresa petroquímica

The corporate world is increasingly competitive, and companies need to go deep into the routines and work them in order to understand them fully. The market is demanding more than simple improvements that bring advances - of small or great expression; however, in a longer term it will no longer meet the ideology of the market. Companies aimed at the world class must focus on projects that will continually bring returns to the company. As previously mentioned, understanding the processes in minute details is of paramount importance, as this knowledge can be acquired by analyzing the decisions that are necessary during the process. Once the complexity increases, the quantity and difficulty of the criteria that influence them grow accordingly. At this time, methods and tools that assist decisionmaking processes can be used as, besides being able to provide the best decision methods of MCDA (Multiple Criteria Decision Aid), they provide clear and assertive understanding of the whole decision process. In developing this study, we sought to explore the AHP (Analytic Hierarchy Process) method (a MCDA method) in the choice of access service, featured by the support service used to reach and be the basis of repairs in places of difficult access. This work proposes a study of the quantitative modeling approach in a real routine activity for a Brazilian petrochemical company. Decision-making processes are explored when we seek to analyze not only the decision makers but also what directly influences them on the use of the AIJ method. Once this is achieved, the understanding of decision-making is substantiated

Morphological-molecular taxonomy and population genetic structure of common and Egyptian soles of the Adriatic Sea

A total of 352 specimens were analyzed to achieve the different aims of this thesis. 255 central-northern Adriatic specimens of S. solea and S. aegyptiaca were molecularly analysed using microsatellite locus Sos(AC)40 and 205 also morphologically due to evaluate the abundance and the distribution of the cryptic species S. aegyptiaca and to confirm morphologic analyses. Morphological and molecular analyses comparated show a correspondence of 96%. A combined morphologic approach could be proposed to apply multiple criteria on the analyzed external morphological keys. The Adriatic Egyptian soles may lives in shallow waters (up 30 m) and in brackish lagoon. 127 samples of Adriatic common sole added to 326 samples of previous studies showed, using mitochondrial marker (CytB), that the Adriatic Sea as contact zone between Tyrrhenian and Aegean Sea, the divergence within the Adriatic Sea is low but significant between central-north and south, with a longitudinal strong gene flow in central-northern side. It’s also showed as in the Adriatic Sea two near-panmictic populations of common sole exist.

SNPs for parentage testing and traceability in globally diverse breeds of sheep

DNA-based parentage determination accelerates genetic improvement in sheep by increasing pedigree accuracy. Single nucleotide polymorphism (SNP) markers can be used for determining parentage and to provide unique molecular identifiers for tracing sheep products to their source. However, the utility of a particular "parentage SNP" varies by breed depending on its minor allele frequency (MAF) and its sequence context. Our aims were to identify parentage SNPs with exceptional qualities for use in globally diverse breeds and to develop a subset for use in North American sheep. Starting with genotypes from 2,915 sheep and 74 breed groups provided by the International Sheep Genomics Consortium (ISGC), we analyzed 47,693 autosomal SNPs by multiple criteria and selected 163 with desirable properties for parentage testing. On average, each of the 163 SNPs was highly informative (MAF≥0.3) in 48±5 breed groups. Nearby polymorphisms that could otherwise confound genetic testing were identified by whole genome and Sanger sequencing of 166 sheep from 54 breed groups. A genetic test with 109 of the 163 parentage SNPs was developed for matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry. The scoring rates and accuracies for these 109 SNPs were greater than 99% in a panel of North American sheep. In a blinded set of 96 families (sire, dam, and non-identical twin lambs), each parent of every lamb was identified without using the other parent's genotype. In 74 ISGC breed groups, the median estimates for probability of a coincidental match between two animals (PI), and the fraction of potential adults excluded from parentage (PE) were 1.1×10(-39) and 0.999987, respectively, for the 109 SNPs combined. The availability of a well-characterized set of 163 parentage SNPs facilitates the development of high-throughput genetic technologies for implementing accurate and economical parentage testing and traceability in many of the world's sheep breeds.

Service level agreements-driven management of distributed applications in cloud computing environments

Advancements in cloud computing have enabled the proliferation of distributed applications, which require management and control of multiple services. However, without an efficient mechanism for scaling services in response to changing workload conditions, such as number of connected users, application performance might suffer, leading to violations of Service Level Agreements (SLA) and possible inefficient use of hardware resources. Combining dynamic application requirements with the increased use of virtualised computing resources creates a challenging resource Management context for application and cloud-infrastructure owners. In such complex environments, business entities use SLAs as a means for specifying quantitative and qualitative requirements of services. There are several challenges in running distributed enterprise applications in cloud environments, ranging from the instantiation of service VMs in the correct order using an adequate quantity of computing resources, to adapting the number of running services in response to varying external loads, such as number of users. The application owner is interested in finding the optimum amount of computing and network resources to use for ensuring that the performance requirements of all her/his applications are met. She/he is also interested in appropriately scaling the distributed services so that application performance guarantees are maintained even under dynamic workload conditions. Similarly, the infrastructure Providers are interested in optimally provisioning the virtual resources onto the available physical infrastructure so that her/his operational costs are minimized, while maximizing the performance of tenants’ applications. Motivated by the complexities associated with the management and scaling of distributed applications, while satisfying multiple objectives (related to both consumers and providers of cloud resources), this thesis proposes a cloud resource management platform able to dynamically provision and coordinate the various lifecycle actions on both virtual and physical cloud resources using semantically enriched SLAs. The system focuses on dynamic sizing (scaling) of virtual infrastructures composed of virtual machines (VM) bounded application services. We describe several algorithms for adapting the number of VMs allocated to the distributed application in response to changing workload conditions, based on SLA-defined performance guarantees. We also present a framework for dynamic composition of scaling rules for distributed service, which used benchmark-generated application Monitoring traces. We show how these scaling rules can be combined and included into semantic SLAs for controlling allocation of services. We also provide a detailed description of the multi-objective infrastructure resource allocation problem and various approaches to satisfying this problem. We present a resource management system based on a genetic algorithm, which performs allocation of virtual resources, while considering the optimization of multiple criteria. We prove that our approach significantly outperforms reactive VM-scaling algorithms as well as heuristic-based VM-allocation approaches.

A Recommendation Framework Based on the Analytic Network Process and its Application in the Semantic Technology Domain

When users face a certain problem needing a product, service, or action to solve it, selecting the best alternative among them can be a dicult task due to the uncertainty of their quality. This is especially the case in the domains where users do not have an expertise, like for example in Software Engineering. Multiple criteria decision making (MCDM) methods are methods that help making better decisions when facing the complex problem of selecting the best solution among a group of alternatives that can be compared according to different conflicting criteria. In MCDM problems, alternatives represent concrete products, services or actions that will help in achieving a goal, while criteria represent the characteristics of these alternatives that are important for making a decision.

Selección de una cartera de acciones bajo criterios de sostenibilidad medioambiental empleando técnicas de decisión multicriterio

La apertura de los mercados internacionales de capital como consecuencia del proceso de globalización ha motivado un aumento significativo de la labor investigadora en el campo de la economía y, concretamente, en la teoría de la inversión. Los trabajos en este área tuvieron como punto de partida el artículo publicado por Harry Markowitz en 1952 en el Journal of Finance bajo el título “Portfolio Selection”. En él se pretende hacer una modelización del proceso inversionista principalmente a través de dos criterios: riesgo y retorno. Markowitz no da indicaciones en cuanto a cómo elegir la composición de una cartera optimizando simultáneamente riesgo y retorno. En su lugar, fija una de las dos variables (según la aversión al riesgo del inversor y su preferencia por las ganancias) y optimiza la otra. Sin embargo, este análisis resulta ser bastante simplista si tenemos en cuenta que los inversores, como cualquier ser humano, son decisores multicriterio: no sólo maximizarán el beneficio para un riesgo dado, sino que intentarán también minimizar el riesgo, diversificar el tipo de acciones que poseen para inmunizarse frente a crisis financieras, emplear nuevos criterios de inversión que incorporen la sostenibilidad medioambiental y el impacto que la actividad productiva tiene en la sociedad, destinar un mayor porcentaje del presupuesto a compañías poco endeudadas, que alcancen un buen rating o unos buenos índices de responsabilidad social corporativa, etc. La inclusión de estas nuevas variables en el modelo tradicional es ahora posible gracias a la teoría de la decisión multicriterio (MCDM: Multiple Criteria Decision Making). Desde los años setenta se viene desarrollando y aplicando este nuevo paradigma en áreas tan dispares como la planificación de redes de telecomunicación, la optimización de listas de espera en hospitales o la planificación logística de las grandes distribuidoras y compañías de mensajería. En el presente trabajo se pretende aplicar el paradigma MCDM a la construcción de una cartera de acciones siguiendo criterios tanto puramente financieros como de sostenibilidad medioambiental y responsabilidad social corporativa. Para ello, en esta primera parte se estudiará la teoría clásica de selección de carteras de Markowitz, explicando los parámetros que permiten caracterizar un instrumento financiero individual (retorno, riesgo, covarianza) y una cartera de instrumentos (diversificación, frontera eficiente). En la segunda parte se analizará en profundidad el concepto de desarrollo sostenible, tan extendido en la actualidad, y su transposición al plano corporativo y de gestión de carteras. Se realizará una revisión histórica del término y su encaje en el esquema de decisión de una compañía privada, así como un estudio de las herramientas para medir el cumplimiento de ciertos principios de sostenibilidad por parte de las compañías y hacer, de esta forma, cuantificables dichos conceptos con vistas a su incorporación al esquema decisional del inversor. Con posterioridad, en la tercera parte se estudiará la programación por metas como técnica de decisión multicriterio para aplicar al problema de la composición de carteras. El potencial de esta metodología radica en que permite hacer resoluble un problema, en principio, sin solución. Y es que, como no se pueden optimizar todos y cada uno de los criterios simultáneamente, la programación por metas minimizará las desviaciones respecto a determinados niveles de aspiración para ofrecer una solución lo más cercana posible a la ideal. Finalmente, se construirá un caso de estudio a partir de datos reales tanto financieros como de sostenibilidad para, posteriormente, resolver el modelo matemático construido empleando LINGO. A través de esta herramienta software se podrá simular el proceso de optimización y obtener una cartera-solución que refleje las preferencias del agente decisor.