1000 resultados para Empresa industrial
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Facing the competitive current market, increases the growing managerial commitment to minimize the frequent occurrence of service failures that characterized the past. Given the fact that the supply of a product in the correct location and on time, undamaged and correctly billed market requirement becomes framed the present work. Based on a case study, supported in parallel bibliographical references in the literature in a company of sugar and alcohol sector, the survey aims to measure and evaluate the real-time delivery from suppliers in order to ensure the best level of service to the company in question by suppliers, by reducing idle time of delivery, since the control system does not supply the pre-established and / or observed above, thus obtaining a better management and supply of replacement material. To assist the work, developed a project in the company in question in order to analyze and identify applications of concepts of lead time along the supply chain through an exploratory study in order to provide a beneficial outcome to the company through monitoring and performance of its suppliers, which will enable an aid to future decision-making
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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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A grande diversidade das atividades industriais ocasiona durante o processo produtivo a geração de resíduos sólidos, líquidos e gasosos, que podem poluir e/ou contaminar o solo, a água e o ar. Embora existam regulamentos para o descarte desses resíduos, a inobservância às regras, a ineficiência dos tratamentos despoluentes e a inoperância de órgãos fiscalizadores permitem que, ainda hoje, sejam lançados ao ambiente grandes cargas de poluentes. Isso se aplica às indústrias de alimentos de origem animal. Felizmente, a visão dos empresários do setor vem mudando, na medida em que a imagem de uma empresa que conta com produtos e processos ambientalmente responsáveis representa parte das estratégias competitivas atuais. O objetivo deste trabalho foi demonstrar como um efluente industrial pode ser transformado em matéria prima para a obtenção de um produto com valor comercial, utilizando tecnologias reconhecidas pela indústria e a atividade microbiana. O efluente foi obtido em indústria de abate e processamento de tilápias, apresentado (valores médios) pH = 9,4, DQO = 1.127 mg/L, óleos e graxas = 1.166 mg/L, nitrogênio total = 813 mg/L, coliformes a 30–35o C = 1,0x105 NMP/mL, coliformes a 45o C = 0,41 NMP/mL, bolores e leveduras = 4,6x103 UFC/mL e, ocasionalmente, contendo Salmonella sp e Aeromonas sp. Os tratamentos físicos aplicados ao efluente incluíram gradeamento, filtração (50µm) e pasteurização (65o C/30 min). O cultivo de Rubrivivax gelatinosus foi realizado sob anaerobiose em reatores de vidro durante 7 dias, em temperatura ambiente (30±5o C) e 2.000±500 lux. A recuperação da biomassa foi feita por filtração tangencial (0,2 µm; 1,5 bar), centrifugação (3.400 g/30 min; 5o C) e liofilização (-40o C) e a pulverização foi realizada manualmente. A produção de massa celular atingiu 0,18 g/L, com produtividade de 0,0634 g/L.dia. O processo promoveu redução de 52% na DQO, 48% em óleos e graxas e 22% no nitrogênio total, gerando um resíduo com pH 7,9, livre de bactérias patogênicas e, portanto, apto ao descarte. O produto obtido apresentou cor vermelho escuro (L = 22,42; C = 14,22; h = 25,48), 4,55% de umidade, 57,39% de proteína, 11,08% de extrato etéreo, 4,05% de matéria mineral, 3,03 mg/g de oxicarotenóides, 20,27 NMP/g de coliformes a 30–35o C, <1,0 NMP/g de coliformes a 45o C, 1,2x103 UFC/g de bolores e leveduras e ausência de microrganismos patogênicos. Essas características apontam para um potencial pigmentante e nutricional positivo no produto, que pode encontrar aplicação na produção animal, com segurança microbiológica. Dessa forma, fecha-se um ciclo autosustentável que pode ser adotado na própria fonte geradora do resíduo industrial, permitindo a reversão de gastos com tratamento despoluente em receitas advindas da comercialização de um novo produto.
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Pós-graduação em Engenharia de Produção - FEG
Resumo:
This work approaches the analysis of industrial refrigeration systems applied to a chemical processing industry that, in this case, consists of refrigeration machines, cooling tower system, cold water system and brine system. In this study it is highlighted the function and characteristics of different systems, including the main components, the most important features, their functionality and best practices. The motivation for this work is the fact that refrigeration systems are essential in many industrial processes, presenting a high energy consumption that is related to a significant parcel of production costs. It has aimed to understand the case studied in order to evaluate the energy efficiency of systems and to compare with Carnot efficiency and best available technologies. The assessment aims to identify irregularities, find opportunities and propose solutions that increases the performance of equipment and the overall system efficiency. Therefore, the studies intend to reduce the operation costs and generate gains for the company
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Considering the high competitiveness in the industrial chemical sector, demand forecast is a relevant factor for decision-making. There is a need for tools capable of assisting in the analysis and definition of the forecast. In that sense, the objective is to generate the chemical industry forecast using an advanced forecasting model and thus verify the accuracy of the method. Because it is time series with seasonality, the model of seasonal autoregressive integrated moving average - SARIMA generated reliable forecasts and acceding to the problem analyzed, thus enabling, through validation with real data improvements in the management and decision making of supply chain
Resumo:
The pharmaceutical industry was consolidated in Brazil in the 1930s, and since then has become increasingly competitive. Therefore the implementation of the Toyota Production System, which aims to lean production, has become common among companies in the segment. The main efficiency indicator currently used is the Overall Equipment Effectiveness (OEE). This paper intends to, using the fuzzy model DEA-BCC, analyze the efficiency of the production lines of a pharmaceutical company in the Paraíba Valley, compare the values obtained by the model with those calculated by the OEE, identify the most sensitive machines to variation in the data input and develop a ranking of effectiveness between the consumer machinery. After the development, it is shown that the accuracy of the relationship between the two methods is approximately 57% and the line considered the most effective by the Toyota Production System is not the same as the one found by this paper
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Considering the high competitivity in the market, the application of quantitative methods can assist in analyzing the efficiency of production facilities of areas of export and import processes of the chemical industry sector. In this sense, this work aims to apply the model GPDEA-BCC optimization in order to develop an analysis of the production units of this chemical industry. So, were chosen variables relevant to the process and elaborated a final comparison between the results obtained by the optimization tool and performance indexes provided by the company. These results indicated that some production units should be monitored more carefully because some of them had a low efficiency when analyzed with multi criteria
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The automobile industry shows relevance inside the Brazilian industrial scenario since it contributes with the development of a significant chain of supply, distributors, workshops, publicity agencies and insurance companies in the internal market, aside from being one of the five biggest worldwide market. Thereby, the federal government decreed in Dec, 17th 2012 by Law nº 12.715 the Inovar-Auto Program. As the Adjusted Present Value (APV) is highly recommended, although not yet widespread to public politics of tax reduction, this work intends to apply the APV method on the cash flow analysis of an automobile sector's company, which has recently installed in national territory and wants to rely with governmental incentives proposed by Inovar-Auto Program. The developed work evaluates the company's current cash flow stochastically from mathematical modeling of variables such as price, demand and interest rate through probability distributions with the assist of Crystal Ball software, a Microsoft Excel Add-in, generating different scenarios from Monte Carlo Simulation. As results probabilities situations have been evaluated until the end of the Inovar-Auto's conducted period, in 2017. Beside APV others indicator such as Internal Rate of Return (IRR) and payback period were estimated for the investment project. For APV a sampling distribution with only 0.057% of risk, IRR of 29% were obtained and estimated project payback period was 4.13 years
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Innovation in the field of Information Technology (IT) have made companies evaluate their processes and activity of its supply chain to conform to this new reality. In the supply chain management, one of the tools that revolutionized the activities was the use of management information systems such as ERP tool. This system allows greater integration of data from multiple areas of the enterprise and beyond, giving more activities to processes and activities. This work aims to analyze the results and impacts of the restructuring of an equipment leasing process in a Brazilian media company and verify that the gains and improvements that were targeted in the initial design of this restructuring have been achieved. Also the risks identified with this change will be studied, the reactions of those involved in this process and the performance of the chain as a whole. To carry out this work was carried out a single case study with data collection in the assessed company and literature related to supply chain and information systems
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A região Amazônica, detentora de grande potencial hídrico, tem atraído indústrias que promovem uso intensivo de água, por isso, existe uma emergência por instrumentos que administrem essa tendência. Neste trabalho foi diagnosticado o nível de racionalização do uso da água pelo setor industrial de produção de bebidas no estado do Pará, assim como as causas do comportamento do setor. As variáveis dependentes (de comportamento) foram classificadas de acordo com quatro dimensões (gestão ambiental, manejo da água, manejo dos efluentes e medidas avançadas de racionalização) que compõe o nível de racionalização da gestão industrial hídrica. As variáveis independentes foram associadas ao: porte, ramo, tipo de embalagem utilizada, disponibilidade hídrica e valor econômico da água. Os dados levantados mostraram que a produção de bebidas tem uma grande pegada hídrica operacional total (acima de) 15.250 m3/dia, com as pequenas empresas apresentando o maior consumo relativo por unidade produzida (maior que 7 L de água/L de bebida). O setor como um todo apresenta baixo nível de racionalização do uso da água, a dimensão mais eficiente é a de gerenciamento da água; entretanto algumas medidas avançadas podem ser visualizadas, especialmente a recirculação da água em torres de resfriamento. A análise das variáveis de estudo demonstra que o nível de racionalização é dependente diretamente do ramo e do porte da empresa. Conclui-se que o consumo tende ao desperdício; em resposta a este quadro, devem ser priorizadas políticas públicas voltadas para internalização dos custos ambientais embutidos no processo.
Resumo:
This work approaches the analysis of industrial refrigeration systems applied to a chemical processing industry that, in this case, consists of refrigeration machines, cooling tower system, cold water system and brine system. In this study it is highlighted the function and characteristics of different systems, including the main components, the most important features, their functionality and best practices. The motivation for this work is the fact that refrigeration systems are essential in many industrial processes, presenting a high energy consumption that is related to a significant parcel of production costs. It has aimed to understand the case studied in order to evaluate the energy efficiency of systems and to compare with Carnot efficiency and best available technologies. The assessment aims to identify irregularities, find opportunities and propose solutions that increases the performance of equipment and the overall system efficiency. Therefore, the studies intend to reduce the operation costs and generate gains for the company
Resumo:
Considering the high competitiveness in the industrial chemical sector, demand forecast is a relevant factor for decision-making. There is a need for tools capable of assisting in the analysis and definition of the forecast. In that sense, the objective is to generate the chemical industry forecast using an advanced forecasting model and thus verify the accuracy of the method. Because it is time series with seasonality, the model of seasonal autoregressive integrated moving average - SARIMA generated reliable forecasts and acceding to the problem analyzed, thus enabling, through validation with real data improvements in the management and decision making of supply chain
Resumo:
The pharmaceutical industry was consolidated in Brazil in the 1930s, and since then has become increasingly competitive. Therefore the implementation of the Toyota Production System, which aims to lean production, has become common among companies in the segment. The main efficiency indicator currently used is the Overall Equipment Effectiveness (OEE). This paper intends to, using the fuzzy model DEA-BCC, analyze the efficiency of the production lines of a pharmaceutical company in the Paraíba Valley, compare the values obtained by the model with those calculated by the OEE, identify the most sensitive machines to variation in the data input and develop a ranking of effectiveness between the consumer machinery. After the development, it is shown that the accuracy of the relationship between the two methods is approximately 57% and the line considered the most effective by the Toyota Production System is not the same as the one found by this paper
Resumo:
Considering the high competitivity in the market, the application of quantitative methods can assist in analyzing the efficiency of production facilities of areas of export and import processes of the chemical industry sector. In this sense, this work aims to apply the model GPDEA-BCC optimization in order to develop an analysis of the production units of this chemical industry. So, were chosen variables relevant to the process and elaborated a final comparison between the results obtained by the optimization tool and performance indexes provided by the company. These results indicated that some production units should be monitored more carefully because some of them had a low efficiency when analyzed with multi criteria