956 resultados para rédea auxiliar
Resumo:
This work presents a hybrid approach for the supplier selection problem in Supply Chain Management. We joined decision-making philosophy by researchers from business school and researchers from engineering in order to deal with the problem more extensively. We utilized traditional multicriteria decision-making methods, like AHP and TOPSIS, in order to evaluate alternatives according decision maker s preferences. The both techiniques were modeled by using definitions from the Fuzzy Sets Theory to deal with imprecise data. Additionally, we proposed a multiobjetive GRASP algorithm to perform an order allocation procedure between all pre-selected alternatives. These alternatives must to be pre-qualified on the basis of the AHP and TOPSIS methods before entering the LCR. Our allocation procedure has presented low CPU times for five pseudorandom instances, containing up to 1000 alternatives, as well as good values for all considered objectives. This way, we consider the proposed model as appropriate to solve the supplier selection problem in the SCM context. It can be used to help decision makers in reducing lead times, cost and risks in their supply chain. The proposed model can also improve firm s efficiency in relation to business strategies, according decision makers, even when a large number of alternatives must be considered, differently from classical models in purchasing literature
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Worldwide, the demand for transportation services for persons with disabilities, the elderly, and persons with reduced mobility have increased in recent years. The population is aging, governments need to adapt to this reality, and this fact could mean business opportunities for companies. Within this context is inserted the Programa de Acessibilidade Especial porta a porta PRAE, a door to door public transportation service from the city of Natal-RN in Brazil. The research presented in this dissertation seeks to develop a programming model which can assist the process of decision making of managers of the shuttle. To that end, it was created an algorithm based on methods of generating approximate solutions known as heuristics. The purpose of the model is to increase the number of people served by the PRAE, given the available fleet, generating optimized schedules routes. The PRAE is a problem of vehicle routing and scheduling of dial-a-ride - DARP, the most complex type among the routing problems. The validation of the method of resolution was made by comparing the results derived by the model and the currently programming method. It is expected that the model is able to increase the current capacity of the service requests of transport
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Demand for organic foods in the Brazil are growing year last, characterizing itself for if constituting in a new strategical segment of commercialization. In this context, the objective of this research was to investigate the factor that influence the interest of the consumers in the purchase decision of organic products, aiming to characterize the level of competitiveness of these products, assisting in the creation of environmental strategies for the development of the activity and contributing in the increment of the knowledge about the subject, that can assist it in the increase of the commercialization and the consumption of these foods. From data collected in the city of Manaus/AM, it was used a survey research, of exploratory and descriptive character. The sample was obtained using 421 questionnaires, in which was realized the descriptive analysis, analysis of groupings and association analysis among variables using the test qui-square. The results found in this study indicate that the majority the of consumers of supermarkets of the Manaus/AM never to purchase organic foods. Generally the consumers to have few or some knowledge about these foods, however, the level of the interest in to obtain information about the subject is high.The barriers mains in the purchase of organic products are the label fault in the product and the quality no certificate in the product. Among the profile characteristics, the variables income and level scholar are associate to interest level in the obtain information about the subject
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The importance of the airport sector in the development of a country refers to the need for studies on management of airports, to aid the process of decision making. In Brazil, growth in passenger demand is why investments in order to balance the capacity of an airport with air demand. Thus, the study aims to develop a model for Dynamic Systems able to assist airport management in Brazilian sizing subsystems an airport (Passenger Terminal, Runway and Patio). The methodology of this work consists in the steps of defining the problem, formulating the hypothesis dynamic building simulation model, and validation experiments. Finally, we examined the status of each subsystem in thirteen Brazilian airports in scenarios current, most likely and optimistic for air passenger demand
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This dissertation conducted in the years 2011 and 2012, an analysis of cooperatives waste pickers in the city of Natal, Rio Grande do Norte, aiming to identify improvements to be implemented to assist the management of waste from the municipality as well as to improve the living conditions of the workers who perform the selective collection, the environmental perspective. This analysis was performed by means of an investigation of the reality in which they live cooperatives and their local representation, using also the law. The research is characterized as a case study of an applied nature, documentary, consultations with the institutions related to the issue of solid waste in the national and local levels; exploratory and descriptive, the main methodological tools technical visits and structured interviews. From these methods was possible to obtain data regarding the organization of cooperatives, environmental perception of the collector of recyclable materials, among other issues. For the analysis of data matrices were used to include comments and method GUT, from which it was possible to identify numerous difficulties faced by recycling cooperatives, and develop proposals for possible improvements in various aspects of their operation, such as infrastructure and production process , which can improve both the waste management and the quality of life of workers involved in the selective collection system city
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Demand for organic foods within in Brazil are growing, characterizing itself for if constituting in a new strategical segment of commercialization. In this context, the objective of this research was to investigate the variables used by consumers in the purchase decision of organic products, aiming to characterize the level of competitiveness of these products, assisting in the creation of environmental strategies for the development of the activity and contributing in the increment of the knowledge about the subject, that can assist it in the increase of the commercialization and the consumption of these foods. From data collected in the city of Natal/RN, it was used a survey research, of exploratory and descriptive character. The sample was obtained using 401 questionnaires, in which was realized: the Test of Comparison of Averages, Descriptive analysis, analysis of Cluster and Qui-square. The results found in this study indicate that the main reasons for the organic food purchase are the absence of chemical pesticides in the product, followed by the care with own health and of the household. The main characteristics in the consumers of supermarkets, that are associates with purchase frequency of organic foods are the environmental behavior and lifestyle. Among the profile characteristics, gender, age and number of children are associates with the purchase frequency of these foods and the income and level education not showed association
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
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The present study inserts on the international environmental thematic, approaching the integrated management of solid waste and the participation of the social actors in the search of the sustainable development. The awareness in combining it still describes a Selective Collection Program SCP of solid waste, in partnership with the municipal public power, in the development of joint actions that result in better alternatives of waste management in the urban centers, providing better life quality for the population and conservation of the environment. The aim of this research is to study problematic of the management of solid waste under the point of view of the environmental awareness and the participation of the population in a city of Brazil. In this matter, the target of the work is focusing on the strategy of solid waste management, through the attitudes and the respondents behaviors to aid in the making decision of the public manager related to the implantation of a selective collection program in Natal/RN. The methodology used in this work constitutes in the application of a questionnaire with scales of the type Likert being constituted of variables that compose the aspects of attitudes and of behaviors, besides a social-demographic scale. For analysis statistics is used the Pearson s Chi-Square Method in order to verify the dependence of the associations between the social-demographic variables and the attitude and the behavior ones. The results appear for a larger participation in a SCP, since this provides a better quality of life of the population (28,3 %), followed for offering a financial advantage (27,3%). Other results indicate the existence of the variables that exercise influence on the environmental awareness of the population to its demographic aspects
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The Combinatorial Optimization is a basic area to companies who look for competitive advantages in the diverse productive sectors and the Assimetric Travelling Salesman Problem, which one classifies as one of the most important problems of this area, for being a problem of the NP-hard class and for possessing diverse practical applications, has increased interest of researchers in the development of metaheuristics each more efficient to assist in its resolution, as it is the case of Memetic Algorithms, which is a evolutionary algorithms that it is used of the genetic operation in combination with a local search procedure. This work explores the technique of Viral Infection in one Memetic Algorithms where the infection substitutes the mutation operator for obtaining a fast evolution or extinguishing of species (KANOH et al, 1996) providing a form of acceleration and improvement of the solution . For this it developed four variants of Viral Infection applied in the Memetic Algorithms for resolution of the Assimetric Travelling Salesman Problem where the agent and the virus pass for a symbiosis process which favored the attainment of a hybrid evolutionary algorithms and computational viable
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The progressing cavity pump artificial lift system, PCP, is a main lift system used in oil production industry. As this artificial lift application grows the knowledge of it s dynamics behavior, the application of automatic control and the developing of equipment selection design specialist systems are more useful. This work presents tools for dynamic analysis, control technics and a specialist system for selecting lift equipments for this artificial lift technology. The PCP artificial lift system consists of a progressing cavity pump installed downhole in the production tubing edge. The pump consists of two parts, a stator and a rotor, and is set in motion by the rotation of the rotor transmitted through a rod string installed in the tubing. The surface equipment generates and transmits the rotation to the rod string. First, is presented the developing of a complete mathematical dynamic model of PCP system. This model is simplified for use in several conditions, including steady state for sizing PCP equipments, like pump, rod string and drive head. This model is used to implement a computer simulator able to help in system analysis and to operates as a well with a controller and allows testing and developing of control algorithms. The next developing applies control technics to PCP system to optimize pumping velocity to achieve productivity and durability of downhole components. The mathematical model is linearized to apply conventional control technics including observability and controllability of the system and develop design rules for PI controller. Stability conditions are stated for operation point of the system. A fuzzy rule-based control system are developed from a PI controller using a inference machine based on Mandami operators. The fuzzy logic is applied to develop a specialist system that selects PCP equipments too. The developed technics to simulate and the linearized model was used in an actual well where a control system is installed. This control system consists of a pump intake pressure sensor, an industrial controller and a variable speed drive. The PI control was applied and fuzzy controller was applied to optimize simulated and actual well operation and the results was compared. The simulated and actual open loop response was compared to validate simulation. A case study was accomplished to validate equipment selection specialist system
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Post dispatch analysis of signals obtained from digital disturbances registers provide important information to identify and classify disturbances in systems, looking for a more efficient management of the supply. In order to enhance the task of identifying and classifying the disturbances - providing an automatic assessment - techniques of digital signal processing can be helpful. The Wavelet Transform has become a very efficient tool for the analysis of voltage or current signals, obtained immediately after disturbance s occurrences in the network. This work presents a methodology based on the Discrete Wavelet Transform to implement this process. It uses a comparison between distribution curves of signals energy, with and without disturbance. This is done for different resolution levels of its decomposition in order to obtain descriptors that permit its classification, using artificial neural networks