Dissertação PPG.EGPSA
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/3
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Resultados da Pesquisa
Item Uso da metodologia e ferramentas Lean na gestão da produção para melhoria da eficiência do processo produtivo – estudo de caso em uma empresa do PIM(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) ALMEIDA, Melry Silva de; VIEIRA JÚNIOR, MiltonDue to global competitiveness and production complexity in modern industries, the need for methods to improve efficiency and productivity is highlighted. Given the growing need for industrial modernization, challenges such as process complexity, demand variability and resource limitations, there is a need for fast and assertive solutions, at the risk of inefficiencies and loss of competitiveness. In Brazil, the Manaus Industrial Park (PIM) is an example of how methodologies and tools, such as Lean Manufacturing and VSM, help to overcome challenges such as logistics costs and regulatory pressures, optimizing resources and meeting demand efficiently, together with Production Planning, defining strategies and coordinating operations to minimize costs and maximize productivity. The use of Quality and Production Management methodologies and tools are essential to improve production processes and ensure greater control, as well as focusing on eliminating waste and variations, identifying bottlenecks and optimizing flow. These methodologies and tools combined increase efficiency, improve quality and reduce costs, directly contributing to the competitiveness of companies in the global market. Focusing on the speaker manufacturing industry, the research, conducted in the form of a case study with a qualitative approach, explores the identification of practices to optimize production processes together with production planning, so that they can also be used in problem-solving, to maximize results and the impacts generated for the company. Through the application of these practices, improvements were achieved in the production rate and labor indicators used.Item Metodologia fuzzy aplicada na avaliação da qualidade dos serviços hospitalares. Estudo de caso em um hospital do Amazonas(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-06-05) CESCONETO, Fernando da Silva; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798There is currently an important challenge for hospital companies, which is to offer their services with the highest quality to their customers. And meeting this demand requires more efforts from public or private organizations to provide quality services offered to customers who are more demanding and interested not only in cost, but in the quality of the product or service offered. Therefore, if you guarantee in the market, you have an unknown, to evaluate the quality of services to monitor the quality of service according to the expectations of your customers, thereby creating competitive advantages. In this context, the private hospital in Manaus is with an interest in measuring its quality, placing itself as an object of study, in order to know: the quality of the services offered by the Hospital in the view of the clients, identifying the relevant positive and negative aspects for that the Hospital can act more precisely on the points that allow it to achieve excellence in customer service and acquire more competitiveness. This reality dictates the need to create effective methods to meet the demand for quality in hospital services. In response, the purpose of this study arises to create a quality assessment model using the Fuzzy inference system, based on the studies by Parasuraman, Zeithaml and Berry, in 1994, who developed the SERVQUAL scale, an efficient instrument to assess the quality of services with evaluative diagnosis of quality that are important and followed until today. For this, a model was developed to evaluate the quality of private hospital services in Manaus. The questionnaire was used as data collection techniques, as determined by the SERVQUAL scale, which generated variables that were used for Fuzzy Inference in the Matlab R16 Student software. The results made it possible to evaluate the quality of customer service, which reached an index of 82.7%, thus identifying the level of customer satisfaction, highlighting the negative points, essential information for managers to implement appropriate improvements.