823 resultados para processo de tomada de decisão


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This study presents the development of a business plan to assist in decision making. The feasibility of a new plant capable of producing a polymer known as naphthalene sulfonate is being studied. CSN National Steel Company operates in several areas and encourages employees to seek innovation, supports and assists in the development of this project. This study also discusses entrepreneurship and its expansion into the enterprise corporate entrepreneurship. Explaining the importance and the role in large companies. The business plan is a great tool and demonstrated, mainly in the marketing plan, evidences of project feasibility

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Among the flow, the flows have the highest destructive potential, may cause disasters with a very high number of victims, as recorded in the events Caraguatatuba (SP) and the Serra das Araras (RJ) in 1967; Valeu do Rio Figueira, in Timbé do Sul (SC) between 1995 and 1996; Vale do Itajaí in Santa Catarina, in 2008, Teresópolis, Petrópolis and Nova Friburgo (RJ), in December 2010 and January 2011. This project aimed to prioritize the main determinants of inducing processes of debris flows by applying the method of decision making AHP (Analytical Hierarch Process). Therefore, the following stages of work were defined: research of the major factors of debris flows, questionnaire design method for application of AHP expert on the subject, analysis of the results obtained from calculating the ratio of consistency and preparation of proposal for hierarchical of conditions for debris flows. From the surveys it was possible to establish a relationship of conditions according to the scale of work, defining three levels: regional (1:250,000 to 1:100,000), Semi-Detail (1:50,000 to 1:25,000) and Detail (1: 10,000 or higher). The factors found were: concentration time, the flood wave, rain, landslide susceptibility (slope), drainage and development in the deposition. The project analyzed the results obtained from the questionnaires, which allowed the ranking of the constraints, contributing to weight constraints in studies of multicriteria mapping of susceptibility to the occurrence of debris flows. The study showed that the most of the analyzed datas were inconsistent because of the different opinion of the judges

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Through observation of production process of a Vale do Paraiba’s automobile industry, one can encounter in need of improvement related to large uncertainties and variations in the production environment, a fact that inspired the search for solutions that can respond quickly to these changes. This way, the paper describes the development of a flexible manufacturing model, which aims to optimize the process in an automotive sub-assembly industry of the Paraíba Valley. The main objective is to propose a method to promote viable alternatives to easing the assembly of parallel sub performed the assembly of cars. For the construction of the model was necessary to explore concepts of flexible manufacturing and making the data presented in literature, which were vital to ensure the development of the method. The concepts discussed are usually presented at an undergraduate degree in Engineering. Data compiled by the model are able to serve as a strategic benchmark for decision making by managers. Featuring alternative response variables and uncertainties of the organizational environment, a fact that facilitates the management of human resources and productive

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TThis work deals with present how to increase the accuracy of productivity indicators, aiming to increase the information accuracy of performance indicators and propose improvements to the process in question, more specifically to improve the visualization of information from these indicators for all hierarchical levels of the company, and then make possible use them to assist in the processes of decision making and planning of the production process. We start with an analysis of the current process to be studied seeking sources of information losses during the production process. Afterwards, a specific analysis of the points considered critical, so alternatives are raised for improvements to these points. This project has some specific tools and methodologies that guide the development of work which are required of any project carried out in the company

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Through observation of the production process industries today, one can encounter the needs of the large uncertainties related improvements and changes in the production environment, a fact that inspired the search for solutions that can respond quickly to these changes. Thus, this paper describes the review of implementation of TPM (total productivity management), which aims to optimize two distinct processes in the Vale do Paraíba´s pharmaceutical industry one of through the pillar of specific improvement. The main objective is to propose an efficient alternative to proposing loss management processes by identifying and eliminating the same in a systematic process. To develop this analysis was necessary to explore concepts of TPM and tools that help in taking data, identification and clarification of the phenomena that cause failures in the process, which were essential to ensure the development of the analysis. The concepts covered are usually presented during an undergraduate degree in Engineering. Data compiled by the analysis are able to serve as a strategic benchmark for decision making by managers, providing alternative response variables and uncertainty of the organizational environment, a fact that facilitates the management of human resources and productive

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The main objective of the presented study is the development of a predictive interval type-2 fuzzy inference system in order to estimate the mortality risk for a newborn, to be used as an auxiliary tool for decision making in medical centers where there is a lack of professionals for this purpose and, afterwards, to compare its performance to a type-1 fuzzy system. The input variables were chosen due to their acquisition ‘simplicity, not involving any invasive tests, such as blood tests or other specific tests. The variables are easily obtained in the first few minutes of life: birth weight, gestational age at delivery, 5-minute Apgar score and previous report of stillbirth. Databases from the DATASUS were used to validate the model. 1351 records from the city of São José dos Campos, a mid-sized city in the São Paulo state’s countryside, were considered in this study. Finally, an analysis using the ROC curve was performed to estimate the model’s accuracy

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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

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Wind power is a type of energy that is still not too explored in Brazil and, because of the lack of experience in projects of this size, there are still some problems during the stages of planning and execution of wind farms projects. One of these problems is related with the parts’ transportation logistics, since these parts are difficult to transport, because of their length, weight or shape. Furthermore, another aggravating factor is the lack of options regarding to the transportation modals that are available to do the route between the manufacture place and the project site. To help in the decision-making process about the ideal transportation configuration, aiming to reduce the dependence of the logistics’ coordinator, it was chosen to use he AHP method to compare some criteria that have influence in the modal’s choice process. The criteria, determined by the members of the company’s logistics’ department, are: transportation costs, transportation time and the risk of causing damages to the cargo. The results shown by this model, using theoretical background, that standardize the processes related to the modal’s choice

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Pós-graduação em Engenharia de Produção - FEB

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Pós-graduação em Ciências Ambientais - Sorocaba

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The physical, psychological, sexual, moral and patrimonial violence affects women of different ages, social classes, ethnic and racial groups, levels of education and religion, all over Brazil. One of the obstacles in the strategies of prevention and facing violence against women, in public care services, focuses on the absence of an information system, automation of data and care flows. The existence of reliable data is essential for performing diagnoses, goals and conducting research on women in situations of violence who access the service agencies. In this sense, the goal of research is to present the experience of implementing a policy of data management called Woman System, in Ednalva Bezerra Women's Reference Center, which offers host/psychological and social care, guidance and legal referral for women that face any violence situation. As methodological paths, we adopt research in action. In our analyzes, we found that in this kind of public service, the use of the data system may improve the full and humanized care to women in situations of violence. Thus, the System Woman Care, still a developing phase, appears to improve the flow of relevant information within the institution, driving a process of knowledge, decision-making and intervention against gender violence.

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Understanding consciousness is one of the most fascinating challenges of our time. From ancient civilizations to modern philosophers, questions have been asked on how one is conscious of his/her own existence and about the world that surrounds him/her. Although there is no precise definition for consciousness, there is an agreement that it is strongly related to human cognitive processes such as: thinking, reasoning, emotions, wishes. One of the key processes to the arising of the consciousness is the attention, a process capable of promoting a selection of a few stimuli from a huge amount of information that reaches us constantly. Machine consciousness is the field of the artificial intelligence that investigate the possibility of the production of conscious processes in artificial devices. This work presents a review about the theme of consciousness - in both natural and artificial aspects -, discussing this theme from the philosophical and computational perspectives, and investigates the feasibility of the adoption of an attentional schema as the base to the cognitive processing. A formal computational model is proposed for conscious agents that integrates: short and long term memories, reasoning, planning, emotion, decision making, learning, motivation and volition. Computer experiments in a mobile robotics domain under USARSim simulation environment, proposed by RoboCup, suggest that the agent can be able to use these elements to acquire experiences based on environment stimuli. The adoption of the cognitive architecture over the attentional model has potential to allow the emergence of behaviours usually associated to the consciousness in the simulated mobile robots. Further implementation under this model could potentially allow the agent to express sentience, selfawareness, self-consciousness, autonoetic consciousness, mineness and perspectivalness. By performing computation over an attentional space, the model also allows the ...

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Operational Research (OR) is an eminent science to business competitiveness and the capacity of algorithms and spreadsheets that exist today allows people to apply them for a lower cost and with less complexity. However, spreadsheets linked to OR techniques, when directed to real problems, are still little explored in their full potential. In order to use them better, this article utilizes the Microsoft Office Excel to solve an optimization practical problem and decision-making of machining subcontracting. In general, although considered a frequent problem, is not of easy solution, optimize the mix of production versus outsourcing, because of the restrictions and resources available, it requests investments in specific software. In this way, this research aims to develop software to be called SOSU (Optimization Software for Machining Subcontracting). SOSU should introduce the best mix of internal and subcontracted machining for n types of parts that, over a certain period of time t, maximize capacity and meet all the demand at the lowest cost possible. The methodology adopted follows the bibliographic reference and it is assumed that the necessary data to prove from mathematical modeling of production areas and from a system of costs already structured. The nature of the problem justifies the application of Linear Programming (LP), Visual Basic for Applications (VBA) is used for computational implementation and interface with the user and the supplement Solver to find the solution. The analysis of the experiments show that the SOSU optimizes resources and improves the decision-making process, besides an easy operation, it can be implemented or quickly adapted and without the need of large investments.

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Planning and sustainable management of water resources require actions that focuses on life quality, recovery and preservation of natural resources. As such, a municipality must have tools which empower the government with the right to exercise such actions, for example, the Master Plan and Sector Plans. To develop municipal plans which will guide the development of the city and provide information for establishment of public policies, it is of the utmost importance that they are designed based on primary and safe data. In view of these considerations, this study aimed at formulating environmental indicators by using a Geographic Information System – GIS. The environmental diagnosis based on the gvGIS was used as database, which made the process to be agile and accurate. The watershed of Lençóis River – SP was the study area. It has a good database from the Environmental Diagnosis of the watershed of Lençóis River, which was created through funds from the State Funds for Water Resources – FEHIDRO. The borrower was the Service of Water Supply and Sewage of Lençóis Paulista – SAAELP. Based on the diagnosis, the indicators were formulated concerning land use and occupation as well as water resources. The results were considered satisfactory and showed that the methodology used in this study is of great importance to evaluate water resources, as it provides a reliable basis for the decision-making process seeking environmental compliance and sustainable development. By using environmental indicators, the sustainability of an area as a whole can be analyzed, and the parts as well, i.e., it is possible to identify which sector is experiencing significant problems and take actions to solve them.