969 resultados para Supplier selection problem


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Tutkielmassa on selvitetty laadun talon käyttökelpoisuutta tukkukaupan toimittajavalinnan valintatyökaluna.

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This paper proposes a field application of a high-level reinforcement learning (RL) control system for solving the action selection problem of an autonomous robot in cable tracking task. The learning system is characterized by using a direct policy search method for learning the internal state/action mapping. Policy only algorithms may suffer from long convergence times when dealing with real robotics. In order to speed up the process, the learning phase has been carried out in a simulated environment and, in a second step, the policy has been transferred and tested successfully on a real robot. Future steps plan to continue the learning process on-line while on the real robot while performing the mentioned task. We demonstrate its feasibility with real experiments on the underwater robot ICTINEU AUV

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Autonomous underwater vehicles (AUV) represent a challenging control problem with complex, noisy, dynamics. Nowadays, not only the continuous scientific advances in underwater robotics but the increasing number of subsea missions and its complexity ask for an automatization of submarine processes. This paper proposes a high-level control system for solving the action selection problem of an autonomous robot. The system is characterized by the use of reinforcement learning direct policy search methods (RLDPS) for learning the internal state/action mapping of some behaviors. We demonstrate its feasibility with simulated experiments using the model of our underwater robot URIS in a target following task

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This paper proposes a high-level reinforcement learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, when using RL, has been to apply value function based algorithms, the system here detailed is characterized by the use of direct policy search methods. Rather than approximating a value function, these methodologies approximate a policy using an independent function approximator with its own parameters, trying to maximize the future expected reward. The policy based algorithm presented in this paper is used for learning the internal state/action mapping of a behavior. In this preliminary work, we demonstrate its feasibility with simulated experiments using the underwater robot GARBI in a target reaching task

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Most network operators have considered reducing Label Switched Routers (LSR) label spaces (i.e. the number of labels that can be used) as a means of simplifying management of underlaying Virtual Private Networks (VPNs) and, hence, reducing operational expenditure (OPEX). This letter discusses the problem of reducing the label spaces in Multiprotocol Label Switched (MPLS) networks using label merging - better known as MultiPoint-to-Point (MP2P) connections. Because of its origins in IP, MP2P connections have been considered to have tree- shapes with Label Switched Paths (LSP) as branches. Due to this fact, previous works by many authors affirm that the problem of minimizing the label space using MP2P in MPLS - the Merging Problem - cannot be solved optimally with a polynomial algorithm (NP-complete), since it involves a hard- decision problem. However, in this letter, the Merging Problem is analyzed, from the perspective of MPLS, and it is deduced that tree-shapes in MP2P connections are irrelevant. By overriding this tree-shape consideration, it is possible to perform label merging in polynomial time. Based on how MPLS signaling works, this letter proposes an algorithm to compute the minimum number of labels using label merging: the Full Label Merging algorithm. As conclusion, we reclassify the Merging Problem as Polynomial-solvable, instead of NP-complete. In addition, simulation experiments confirm that without the tree-branch selection problem, more labels can be reduced

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El mundo de las finanzas se encuentra dividido por gestión financiera, economía financiera, inversiones, finanzas personales y finanzas públicas. Aunque los temas que se estudiaran con mayor profundidad serán; gestión financiera, economías financieras e inversiones (Brigham, 2009). Partiendo de lo anterior, a lo largo de este documento se hará una relación entre la gestión de inversiones y la estrategia empresarial teniendo en cuenta que el objetivo final es desarrollar una metodología útil que desde la estrategia sirva como guía para la conformación de portafolios en activos que cotizan en la Bolsa de Valores de Colombia teniendo en cuenta los tres perfiles de riesgo (Amante, Moderado, Adverso al riesgo) y que además en el proceso de toma de decisiones de inversión funcione como herramienta para mejorar las posibilidades en la toma de decisiones de inversión para personas naturales en su rol como inversionistas.

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Esta propuesta de investigación pretende aportar al proyecto de investigación “La administración de la cadena de suministro y su relación con el desempeño superior de la organización” a la elaboración de la primera etapa que consiste en la revisión de literatura para la elaboración y revisión del marco teórico de dicha investigación. Este proyecto se centra en el programa de estrategia y empresa en donde se realizará una investigación descriptiva acerca de la administración de la cadena de suministros, con el fin de estudiar la adopción y viabilidad de diferentes estrategias en el interior de las organizaciones, que puedan impactar en su desempeño y por lo tanto, en la competitividad y perdurabilidad de las empresas del sector de prendas de vestir en Colombia.

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This article first presents an econometric study suggesting that intergovernmental transfers to Brazilian municipalities are strongly partisan motivated. In light of that stylized fact, it develops an extension to Rogoff (1990)’s model to analyze the effect of partisan motivated transfers into sub-national electoral and fiscal equilibria. The main finding is that important partisan transfers may undo the positive selection aspect of political budget cycles. Indeed, partisan transfers may, on one hand, eliminate the political budget cycle, solving a moral hazard problem, but, on the other hand, they may retain an incompetent incumbent in office, bringing about an adverse selection problem.

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We analyze a Principal-Agent model of an insurer who faces an adverse selection problem. He is unable to observe if his client has a high risk or a low risk of having an accident. At the underwriting of the contract, the insurer requests the client to declare his risk. After that, the former can costly audit the truthfulness of this announcement. If the audit confirms a false declaration, the insurer is legally allowed to punish the defrauder. We characterize the efRcient contracts when this punishment is bounded from above by a legal restriction. Then, we do some comparative statics on the efRcient contracts and on the agent's utility. The most important result of this paper concerns the legal limit to a defrauder's punishment. We prove that there exists a uni que value of this legal limit that maximizes the expected utility of a high risk type. Facing this particular value of the legal limit to a defrauder's punishment, the insurer will effectively audit a low risk reporto We also show that this particular value increases with the probability of facing a high risk policyholder. Therefore, when this probability is sufRciently high, the nullity of the contract is not enough. From the point of view of a potential defrauder, the law should allow harder sanctions. This is an striking result because the nullity of the contract is a common sanction for this kind of fraud in the USA and in some European countries.

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Essa tese é composta por três artigos na área de Economia da Educação que buscam investigar a questão do ensino médio técnico no Brasil. O primeiro e segundo artigos se inserem na literatura de avaliação de impacto dos tipos de ensino médio realizado, o de formação geral ou técnica, sobre os resultados do mercado de trabalho. Esse é um tema cada vez mais explorado em estudos empíricos internacionais, mas que ainda merece atenção dos pesquisadores no Brasil, seja para preencher lacunas no que se refere à identificação do efeito causal dessa política, seja porque o ensino técnico profissionalizante tenha se tornado alvo de maiores investimentos públicos nos últimos anos. Dessa forma, os dois artigos têm o propósito de estimar o efeito causal das habilidades técnicas adquiridas nos cursos técnicos de nível médio sobre os salários dos trabalhadores, no entanto se diferem pela fonte de dados utilizada. No primeiro artigo são utilizados os dados da Pesquisa Nacional por Amostra de Domicílios (IBGE) de 2007 e nossa contribuição está na estratégia de identificação do efeito causal, ao resolver o problema de auto seleção com o método de duplas diferenças (DD). Diversos testes de robustez foram realizados para dar suporte ao impacto positivo e estatisticamente significante que encontramos das habilidades técnicas sobre os salários, embora este seja restrito ao subgrupo de trabalhadores com no máximo o ensino médio completo. No segundo artigo foram utilizadas duas fontes de dados ainda não exploradas para esse fim, os microdados do ENEM (Exame Nacional do Ensino Médio) entre os anos de 2004 e 2006 e os dados da RAIS (Relação Anual de Informações Sociais) de 2009 a 2012 identificados por indivíduo (CPF). Por ser possível observar as notas dos jovens ao final do ensino médio, conseguimos separar os impactos do ensino médio técnico nos salários relacionados às habilidades técnicas específicas obtidas nos cursos técnicos, daqueles relacionados às habilidades gerais dos indivíduos (cognitivas ou não). Implementamos a estratégia de duplas diferenças e mais uma vez encontramos impacto positivo sobre os salários anuais dos jovens que concluíram o ensino médio técnico. Dessa vez nossos resultados são positivos tanto para os jovens que pararam seus estudos no ensino médio como para aqueles que concluíram o ensino superior. Verificamos a existência de heterogeneidade do efeito por região do país e nos quartis de distribuição de notas médias por escola no ENEM, indicando que os efeitos são crescentes com a qualidade oferecida pelas escolas. O terceiro artigo tem por objetivo estudar o mercado de trabalho no que diz respeito às ocupações tipicamente preenchidas por profissionais com nível médio técnico e analisar os diferenciais de salários dessas ocupações. A partir das ideias desenvolvidas no estudo, almejamos que ele seja orientador de políticas que relacionem educação técnica com demandas do mercado, com a finalidade de melhorar o matching entre formação e emprego. Entre as contribuições deste artigo estão a identificação e classificação das ocupações típicas de nível médio técnico pelo diferencial de salários, a correspondência entre as ocupações e as formações técnicas, a análise da atual oferta de vagas nos cursos correspondentes e o destaque para os cursos que parecem necessitar de maiores investimentos para o suprir as necessidades de mais profissionais.

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Smart material technology has become an area of increasing interest for the development of lighter and stronger structures which are able to incorporate actuator and sensor capabilities for collocated control. In the design of actively controlled structures, the determination of the actuator locations and the controller gains, is a very important issue. For that purpose, smart material modelling, modal analysis methods, control and optimization techniques are the most important ingredients to be taken into account. The optimization problem to be solved in this context presents two interdependent aspects. The first one is related to the discrete optimal actuator location selection problem which is solved in this paper using genetic algorithms. The second is represented by a continuous variable optimization problem, through which the control gains are determined using classical techniques. A cantilever Euler-Bernoulli beam is used to illustrate the presented methodology.

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Smart material technology has become an area of increasing interest for the development of lighter and stronger structures that are able to incorporate actuator and sensor capabilities for collocated control. In the design of actively controlled structures, the determination of the actuator locations and the controller gains is a very important issue. For that purpose, smart material modeling, modal analysis methods, and control and optimization techniques are the most important ingredients to be taken into account. The optimization problem to be solved in this context presents two interdependent aspects. The first is related to the discrete optimal actuator location selection problem, which is solved in this paper using genetic algorithms. The second is represented by a continuous variable optimization problem, through which the control gains are determined using classical techniques. A cantilever Euler-Bernoulli beam is used to illustrate the presented methodology.

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Smart material technology has become an area of increasing interest for the development of lighter and stronger structures which are able to incorporate actuator and sensor capabilities for collocated control. In the design of actively controlled structures, the determination of the actuator locations and the controller gains, is a very important issue. For that purpose, smart material modelling, modal analysis methods, control and optimization techniques are the most important ingredients to be taken into account. The optimization problem to be solved in this context presents two interdependent aspects. The first one is related to the discrete optimal actuator location selection problem, which is solved in this paper using genetic algorithms. The second is represented by a continuous variable optimization problem, through which the control gains are determined using classical techniques. A cantilever Euler-Bernoulli beam is used to illustrate the presented methodology.

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Due to an increased awareness and significant environmental pressures from various stakeholders, companies have begun to realize the significance of incorporating green practices into their daily activities. This paper proposes a framework using Fuzzy TOPSIS to select green suppliers for a Brazilian electronics company; our framework is built on the criteria of green supply chain management (GSCM) practices. An empirical analysis is made, and the data are collected from a set of 12 available suppliers. We use a fuzzy TOPSIS approach to rank the suppliers, and the results of the proposed framework are compared with the ranks obtained by both the geometric mean and the graded mean methods of fuzzy TOPSIS methodology. Then a Spearman rank correlation coefficient is used to find the statistical difference between the ranks obtained by the three methods. Finally, a sensitivity analysis has been performed to examine the influence of the preferences given by the decision makers for the chosen GSCM practices on the selection of green suppliers. Results indicate that the four dominant criteria are Commitment of senior management to GSCM; Product designs that reduce, reuse, recycle, or reclaim materials, components, or energy; Compliance with legal environmental requirements and auditing programs; and Product designs that avoid or reduce toxic or hazardous material use. © 2013 Elsevier B.V. All rights reserved.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)