989 resultados para Control charts
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The mechanical harvesting is an important stage in the production process of soybeans and, in this process; the loss of a significant number of grains is common. Despite the existence of mechanisms to monitor these losses, it is still essential to use sampling methods to quantify them. Assuming that the size of the sample area affects the reliability and variability between samples in quantifying losses, this paper aimed to analyze the variability and feasibility of using different sizes of sample area (1, 2 and 3 m²) in quantifying losses in the mechanical harvesting of soybeans. Were sampled 36 sites and the cutting losses, losses by other mechanisms of the combine and total losses were evaluated, as well as the water content in seeds, straw distribution and crop productivity. Data were subjected to statistical analysis (descriptive statistics and analysis of variance) and Statistical Control Process (SCP). The coefficients of variation were similar for the three frames available. Combine losses showed stable behavior, whereas cutting losses and total losses showed unstable behavior. The frame size did not affect the quantification and variability of losses in the mechanical harvesting of soybeans, thus a frame of 1 m² can be used for determining losses.
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During the sugarcane mechanized harvester process, the wear of base cutting knives is directly correlated to the quality of the cut made by the machines, and the use of quality control tools important in monitoring this process. Thus, the present study in Ribeirão Preto region aimed to assess the knives cut baseline and damage caused to wear brass knuckles in mechanized harvesting of cane raw sugar, from the viewpoint of statistical quality control (SQC). The wear of the knives was quantified by mass loss and its dimensions, while cutting quality was assessed by cutting height and damage to stumps visually classified according to the level of damage caused. The results showed that the wear of the knives was more pronounced in certain periods of use, but still within control standards. The cutting height was not affected by the wear of the knives, keeping within the limits of desirable quality for operation. Eventually damage the stumps ranged among themselves depending on each face of the cutting knives evaluated, and the predominance of certain classes of damage in each cutting face, but always remained in statistical control.
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Pós-graduação em Engenharia Mecânica - FEG
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Patients submitted to hemodialysis are at a high risk for healthcare-associated infections (HAI). Presently there are scarce data to allow benchmarking of HAI rates in developing countries. Also, most studies focus only on bloodstream infections (BSI) or local access infections (LAI). Our study aimed to provide a wide overview of HAT epidemiology in a hemodialysis unit in southeastern Brazil. We present data from prospective surveillance carried out from March 2010 through May 2012. Rates were compared (mid-p exact test) and temporally analyzed in Shewhart control charts for Poisson distributions. The overall incidence of BSI was 1.12 per 1000 access-days. The rate was higher for patients performing dialysis through central venous catheters (CVC), either temporary (RR = 13.35, 95% CI = 6.68-26.95) or permanent (RR = 2.10,95% CI = 1.09-4.13), as compared to those with arteriovenous fistula. Control charts identified a BSI outbreak caused by Pseudomonas aeruginosa in April 2010. LAI incidence was 3.80 per 1000 access-days. Incidence rates for other HAI (per 1000 patients-day) were as follows: upper respiratory infections, 1.72; pneumonia, 1.35; urinary tract infections, 1.25; skin/soft tissues infections, 0.93. The data point out to the usefulness of applying methods commonly used in hospital-based surveillance for hemodialysis units. (C) 2013 Elsevier Editora Ltda. All rights reserved.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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This work evaluates the implementation of Lean Six Sigma into the Steam Turbine’s Blades Manufacturing Process, aiming to improve productivity, quality and operational efficiency. Therefore, several tools have been applied, such as VSM, Spaghetti Diagram, Ishikawa, Pareto, DMAIC, Benchmarking and Control Charts, seeking to propose process improvements, as well as Quality Indicators creation. It was obtained a significant waste reduction throughout the process, achieving a lead time reduction of 42% and 83,41% in transport. Also, were introduced the Lean Thinking concepts, such as pull production and Continuous material flow. At the same time, it was possible to calculate the process capability and the sigma level, evaluating and proposing some improvements
Estudo de caso de controle estatístico de processo: levantamento estatístico de defeitos em molduras
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This graduate work approaches the study of Statistical Process Control - SPC, in a stage production of an industrial frame, aiming to use the tool of statistical process control (SPC) to assess the process capability. Where the process needs improvement as well not meet the specifications. Assessing the needs that the company needs to improve quality management, and the difficulties they present during the implementation of the CEP. The present study is to use the method of case study. The results are presented through study of the level of defects using Pareto diagrams and control chart by - (p) fraction defective, and checking the capacity and stability of the process using control charts and histograms XbarraR. The process demonstrated the need for improvements in process and quality management. At the end of the work are presented suggestions for improving the quality system of the company
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Control charts are very important tools in statistical quality control of industrial processes and its use started last century. Since its development, the charts have always been attributed to independent processes, i.e. without any correlation between samples. But nowadays, with the high level of automation in the industrial environment, it is noticeable the autocorrelation factor between samples. The main Xcharts used in monitoring quality characteristics represented by continuous variables are the mean (X ), amplitude (R) and variance (S²). Therefore, this work aims to analyze the performance of X and R charts and in of X and S² charts with different sample sizes (4 and 5) for monitoring autocorrelated processes. Through computer simulations using the Fortran software and the use of mathematical expressions was possible to obtain data and performance analysis of the detection power charts for independent observations and for autocorrelated observations according to the model AR (1). The results show that the effect of autocorrelation reduces the ability of monitoring the control charts and that, the greater this effect, the slower the chart becomes in misfits signaling
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This graduate work approaches the study of Statistical Process Control - SPC, in a stage production of an industrial frame, aiming to use the tool of statistical process control (SPC) to assess the process capability. Where the process needs improvement as well not meet the specifications. Assessing the needs that the company needs to improve quality management, and the difficulties they present during the implementation of the CEP. The present study is to use the method of case study. The results are presented through study, and checking the capacity and stability of the process using control charts XbarraR. The process demonstrated the need for improvements in process and quality management. At the end of the work are presented suggestions for improving the quality system of the company
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Pós-graduação em Engenharia Mecânica - FEG
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Pós-graduação em Agronomia (Produção Vegetal) - FCAV
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Pós-graduação em Agronomia (Produção Vegetal) - FCAV
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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)