scholarly journals CONTROLE ESTATÍSTICO APLICADO A UNIFORMIDADE DE DISTRIBUIÇÃO EM UNIDADES GOTEJADORAS OPERANDO COM ÁGUA RESIDUÁRIA

Irriga ◽  
2020 ◽  
Vol 25 (4) ◽  
pp. 719-727
Author(s):  
ABEL HENRIQUE SANTOS GOMES ◽  
Mayra Gislayne Melo de Lima ◽  
DENISE DE JESUS LEMOS FERREIRA ◽  
GLEYKA NÓBREGA VASCONCELOS ◽  
JUAREZ PAZ PEDROZA ◽  
...  
Keyword(s):  
Quality Control ◽  
Water Reuse ◽  
Industrial Sector ◽  
Statistical Quality Control ◽  
Statistical Control ◽  
Statistical Quality ◽  
Quality Control Tool ◽  
E Mail ◽  
Control Limits ◽  
Control Tool

CONTROLE ESTATÍSTICO APLICADO A UNIFORMIDADE DE DISTRIBUIÇÃO EM UNIDADES GOTEJADORAS OPERANDO COM ÁGUA RESIDUÁRIA     ABEL HENRIQUE SANTOS GOMES1; MAYRA GISLAYNE MELO DE LIMA2; DENISE DE JESUS LEMOS FERREIRA3; GLEYKA NÓBREGA VASCONCELOS4; JUAREZ PAZ PEDROZA5 E VERA LÚCIA ANTUNES DE LIMA6   1 Doutor em Engenharia Agrícola: Departamento de Engenharia Agrícola, Programa de Pós-Graduação em Engenharia Agrícola, Universidade Federal de Campina Grande, Rua Aprígio Veloso, 882, Bairro Universitário, 58428-830, Campina Grande, Paraíba, Brasil, e-mail: [email protected]. 2 Doutoranda em Engenharia Agrícola: Departamento de Engenharia Agrícola, Programa de Pós-Graduação em Engenharia Agrícola, Universidade Federal de Campina Grande, Rua Aprígio Veloso, 882, Bairro Universitário, 58428-830, Campina Grande, Paraíba, Brasil, e-mail: [email protected]. 3 Professora doutora EBTT na área de Engenharia Agrícola: Instituto Federal de Educação, Ciência e Tecnologia Baiano – Campus Xique-Xique, Rodovia BA 052, Km 468, s/n – Zona Rural, CEP: 47.400-000, Xique-Xique, Bahia, Brasil, e-mail: [email protected]. 4 Mestranda em Engenharia Agrícola: Departamento de Engenharia Agrícola, Programa de Pós-Graduação em Engenharia Agrícola, Universidade Federal de Campina Grande, Rua Aprígio Veloso, 882, Bairro Universitário, 58428-830, Campina Grande, Paraíba, Brasil, e-mail: [email protected]. 5 Professor doutor: Departamento de Engenharia Agrícola, Programa de Pós-Graduação em Engenharia Agrícola, Universidade Federal de Campina Grande, Rua Aprígio Veloso, 882, Bairro Universitário, 58428-830, Campina Grande, Paraíba, Brasil, e-mail: [email protected]. 6 Professora doutora: Departamento de Engenharia Agrícola, Programa de Pós-Graduação em Engenharia Agrícola, Universidade Federal de Campina Grande, Rua Aprígio Veloso, 882, Bairro Universitário, 58428-830, Campina Grande, Paraíba, Brasil, e-mail: [email protected].     1 RESUMO   A ferramenta de controle estatístico de qualidade, desenvolvida para o setor industrial, ganhou espaço na agricultura como auxilio ao manejo adequado da irrigação. Objetivou-se com este projeto, através do auxílio do controle estatístico de qualidade, avaliar a uniformidade de distribuição de água em unidades de irrigação por gotejamento abastecidas por águas residuárias. O experimento foi conduzido em ambiente controlado pertencente ao Laboratório de Irrigação e Drenagem, da Unidade Acadêmica de Engenharia Agrícola, Universidade Federal de Campina Grande. Foram avaliados dois tipos de linhas laterais constituídas de gotejadores específicos, submetidos a fontes de água distintas, totalizando 31 ensaios. A maioria dos valores por ensaio situou-se dentro dos limites de controle, entretanto os valores de vazão não atingiram o valor de catálogo do fabricante para ambos modelos de fitas gotejadoras. Os dois modelos distintos de emissores funcionaram durante grande parte do período de estudo dentro dos limites de controle. A ferramenta de controle estatístico de qualidade se mostrou viável e imprescindível, possibilitando o uso eficiente das unidades de irrigação.   Palavras-chave: Irrigação, controle de qualidade, reúso de água.     GOMES, A. H. S.; LIMA, M. G. M. DE; FERREIRA, D. DE J. L.; VASCONCELOS, G. N.; PEDROZA, J. P.; LIMA, V. L. A. DE STATISTICAL CONTROL APPLIED TO DISTRIBUTION UNIFORMITY IN DRIPPING UNITS OPERATING WITH WASTE WATER 2 ABSTRACT   The statistical quality control tool, developed for the industrial sector, gained space in agriculture as an aid in the proper management of irrigation. The aim of the project was to assess, through the aid of statistical quality control, the uniformity of water distribution in drip irrigation units supplied by wastewater. The experiment was conducted in a controlled environment belonging to the Irrigation and Drainage Laboratory, of the Agricultural Engineering Academic Unit, Federal University of Campina Grande. Two types of lateral lines constituted of specific grippers were evaluated, submitted to different water sources, totaling 31 tests. Most of the values per test were within the control limits, however the flow values did not reach the manufacturer's catalog value for both drip strip models. The two models of emitters functioned during much of the study period within the control limits, the statistical quality control tool proved to be viable and essential, enabling the efficient use of the irrigation units.   Keywords: Irrigation, quality control, water reuse.

scholarly journals Minimization of Casting Defects using SQC Tool

2021 ◽  
Vol 9 (8) ◽  
pp. 1627-1636
Author(s):  
Abhijit M. Mane
Keyword(s):  
Quality Control ◽  
Casting Process ◽  
Statistical Quality Control ◽  
Casting Defects ◽  
Casting Defect ◽  
Statistical Quality ◽  
Analysis Technique ◽  
Quality Control Tool ◽  
Control Tool

Abstract: Casting is most widely used manufacturing technique. During casting process, number of defects in the casting takes place. In this research, Statistical Quality Control tool is used to minimize the defects. Paretro analysis technique is used to find out the defects in the castings. Recommendations are implemented in the casting line. Improved quality of casting and reduction of defects are found after the implementation of SQC tool. Keywords: Casting, Defect, Why-Why analysis, Shift, Manifold

scholarly journals Monitoring of drippers during wastewater application through statistical quality control

2020 ◽  
pp. 551-556
Author(s):  
Flavio Daniel Szekut ◽  
Delfran Batista dos Santos ◽  
Carlos Alberto Vieira de Azevedo ◽  
Marcio Antonio Vilas Boas ◽  
Márcio Roberto Klein ◽  
...  
Keyword(s):  
Quality Control ◽  
Control Charts ◽  
Statistical Quality Control ◽  
Statistical Control ◽  
Negative Effects ◽  
Statistical Quality ◽  
Lateral Lines ◽  
Alternative Water ◽  
Semi Arid Region ◽  
The Moment

The use of alternative water sources for irrigation such as wastewaters, promotes innumerous benefits, but investigations must be conducted to minimize the negative effects of this technique. Clogging drippers are of the limitations. This study aimed to monitor the clogging of three models of labyrinth-type drippers subjected to irrigation with wastewater from treated domestic sewage, through statistical quality control using Shewhart charts. The drippers tested were as following: Dripper Streamline 16080 model (Netafim®); Taldrip model (Naadanjain®); and Dripper Tiran 16010 model (Netafim®). The system was installed with five lateral lines per model of dripper on a bench at the field in the Brazilian semi-arid region. The system was evaluated every 36 h of operation at eight collection points in each lateral line, totaling thirty-three evaluations at the end of the experiment, which corresponded to a total of 1188 h of operation. Dripper clogging was identified by the statistical control charts with 432, 540 and 360 h for the drippers Streamline 16080 model, Taldrip model and Tiran 16010 model, respectively, indicating the moment to apply a cleaning process. The monitoring through statistical quality control allowed simultaneously identifying the variability of the process and the reduction in flow rates, identifying the moment of clogging of the system and to carry out actions of unclog.

Moving sum of number of positive patient result as a quality control tool

2017 ◽  
Vol 55 (11) ◽  
Author(s):  
Jiakai Liu ◽  
Chin Hon Tan ◽  
Tony Badrick ◽  
Tze Ping Loh
Keyword(s):  
Quality Control ◽  
Error Detection ◽  
Specific Antigen ◽  
Specific Reference ◽  
Total Prostate Specific Antigen ◽  
Quality Control Tool ◽  
Moving Sum ◽  
Commercial Kits ◽  
Control Limits ◽  
Control Tool

AbstractBackground:Recently, the total prostate-specific antigen (PSA) assay used in a laboratory had a positive bias of 0.03 μg/L, which went undetected. Consequently, a number of post-prostatectomy patients with previously undetectable PSA concentrations (defined as <0.03 μg/L in that laboratory) were being reported as having detectable PSA, which suggested poorer prognosis according to clinical guidelines.Methods:Through numerical simulations, we explored (1) how a small bias may evade the detection of routine quality control (QC) procedures with specific reference to the concentration of the QC material, (2) whether the use of ‘average of normals’ approach may detect such a small bias, and (3) describe the use of moving sum of number of patient results with detectable PSA as an adjunct QC procedure.Results:The lowest QC level (0.86 μg/L) available from a commercial kit had poor probability (<10%) of a bias of 0.03 μg/L regardless of QC rule (i.e. 1:2S, 2:2S, 1:3S, 4:1S) used. The average number of patient results affected before error detection (ANPed) was high when using the average of normals approach due to the relatively wide control limits. By contrast, the ANPed was significantly lower for the moving sum of number of patient results with a detectable PSA approach.Conclusions:Laboratory practitioners should ensure their QC strategy can detect small but critical bias, and may require supplementation of ultra-low QC levels that are not covered by commercial kits with in-house preparations. The use of moving sum of number of patient results with a detectable result is a helpful adjunct QC tool.

scholarly journals Statistical Quality Control Graphs in Radiocarbon Dating

Radiocarbon ◽  
1990 ◽  
Vol 32 (3) ◽  
pp. 347-354 ◽  
Author(s):  
Roy Switsur
Keyword(s):  
Quality Control ◽  
Analysis Of Variance ◽  
Radiocarbon Dating ◽  
Statistical Quality Control ◽  
Statistical Control ◽  
Statistical Quality ◽  
The Stability

I describe here the establishment and use of statistical control graphs based on the analysis of variance for monitoring the stability of operation of radiocarbon dating counting systems.

scholarly journals Statistical Quality Control in Uniformity of Drip Irrigation With Different Slopes

2019 ◽  
Vol 11 (16) ◽  
pp. 195
Author(s):  
Allan Remor Lopes ◽  
Marcio Antonio Vilas Boas ◽  
Felix Augusto Pazuch ◽  
Luciano Dalla Corte ◽  
Diane Aparecida Ostroski ◽  
...  
Keyword(s):  
Quality Control ◽  
Drip Irrigation ◽  
Irrigation System ◽  
Statistical Quality Control ◽  
Statistical Control ◽  
Control Zone ◽  
Uniformity Coefficient ◽  
Statistical Quality

The topography directly influences the functioning of an irrigation system, being necessary the determination of the uniformity to verify its performance. Statistical quality control is a powerful tool for verifying the quality of a process. Thus, it was aimed to use the statistical control of quality in the evaluation of the uniformity of a drip irrigation system in different slopes. The Christiansen&rsquo;s uniformity coefficient (UC) and Uniformity of Distribution (UD) were determined and analyzed by the control graphs of Shewhart, Zones and CUSUM and by the indices of process capacity (Cp, Cpl and Cpk), in different slopes (0%, 2% and -2%). The slope irrigation was more uniform (UC = 99.03% and UD = 98.45%), however, for all the graphs studied it was out of statistical control. Zone charts were more sensitive than the CUSUM and Shewhart charts.

scholarly journals STATISTICAL QUALITY CONTROL IN A SUPERMARKET CHAIN OF RIO GRANDE DO NORTE, BRAZIL

2019 ◽  
Vol 5 ◽  
Author(s):  
André Luiz Sena da Rocha ◽  
Marcelo Barbosa de Oliveira
Keyword(s):  
Quality Control ◽  
Information Quality ◽  
Rio Grande ◽  
Statistical Quality Control ◽  
Statistical Control ◽  
Brazilian Literature ◽  
Statistical Quality ◽  
Damage Monitoring ◽  
Dairy Beverages

Purpose: This article aims to analyze the level of losses due to damage in a supermarket chain to understand the reason for these occurrences. Methodology/Approach: From data collected in May 2018, a survey of the most critical departments and items with the highest percentage of losses was performed and statistical control was applied from the p graph. A case study in the capital of Rio Grande do Norte. Findings: It was found that 84.6% of losses were concentrated in the meat, dairy, beverages, eggs and grocery departments. It was also found that the fraction non-conforming of losses is out of statistical control, which led to the interruption of monitoring. Research Limitation/implication: The data provided by the company, as the reason for each breakdown of the items was not informed. Thus, without this information, quality control was interrupted. Originality/Value of paper: This work lies in the gap of the Brazilian literature on the application of statistical quality control in losses by damaged products in a supermarket chain, since there are numerous studies that analyzed losses in supermarkets in Brazil. None of them performed damage monitoring, using the control chart p.

Statistical Quality Control of HIV-1 ELISA Test Performance

1994 ◽  
Vol 89 (428) ◽  
pp. 1200-1208 ◽  
Author(s):  
R. C. Gentleman ◽  
M. S. Hamada ◽  
D. E. Matthews ◽  
A. R. Wilson
Keyword(s):  
Quality Control ◽  
Test Performance ◽  
Elisa Test ◽  
Statistical Quality Control ◽  
Statistical Quality ◽  
Hiv 1
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