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’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 Uniformity microsprinkler irrigation system using statistical quality control

2017 ◽  
Vol 47 (4) ◽  
Author(s):  
Maurício Guy de Andrade ◽  
Marcio Antonio Vilas Boas ◽  
Jair Antonio Cruz Siqueira ◽  
Mireille Sato ◽  
Jonathan Dieter ◽  
...  
Keyword(s):  
Quality Control ◽  
Control Charts ◽  
Irrigation System ◽  
Process Capability ◽  
Process Capability Index ◽  
Statistical Quality Control ◽  
Uniformity Coefficient ◽  
Statistical Quality ◽  
Capability Index ◽  
Shewhart Control

ABSTRACT: The objective of this study was to evaluate the use of statistical quality control tools in the analysis of the uniformity of a microsprinkler irrigation system. For the analysis of irrigation Christiansen uniformity coefficient (CUC) and the distribution uniformity coefficient (DU) were statistically analyzed by means of the Shewhart control charts and process capability index (Cp). For the experiment 25 tests were carried out with a single micro sprinkler and subsequently seven different spacing between micro sprinklers were simulated. Control charts contributed to the diagnosis of the treatments to be under control and with satisfactory uniformity outcomes. Increase in process capability index was directly proportional to the average of CUC and DU.

scholarly journals PENERAPAN STATISTICAL QUALITY CONTROL (SQC) PADA PENGENDALIAN MUTU MINYAK TELON (STUDI KASUS DI PT.X)

AGROINTEK ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 72
Author(s):  
Andan Linggar Rucitra ◽  
S Fadiah
Keyword(s):  
Quality Control ◽  
Raw Materials ◽  
Control Process ◽  
Statistical Quality Control ◽  
Statistical Quality ◽  
Quality Control Process ◽  
Fishbone Diagram ◽  
Potential Factor ◽  
Measurement Of Success

<p><em>Telon oil is</em><em> one of </em><em> </em><em>the </em><em>traditional medicine in the form of </em><em> </em><em>liquid preparations that serves to provide a sense of warmth to the wearer. PT</em><em>.X</em><em> is one of the companies that produce</em><em> </em><em>telon</em><em> oil</em><em>.</em><em> To maintain</em><em> the quality of telon oil from PT.X</em><em> product</em><em>, required overall quality control that is starting from the quality control of raw materials, quality control process to the quality control of the final product. The purpose of this research is to know the application of Statistical Quality Control (SQC) in controlling the quality of telon oil in PT X. </em><em>F</em><em>inal product</em><em> quality</em><em> become one of the measurement of success of a process, so it needs a good quality control. SQC method used in this research is Pareto Diagram and Cause and Effect Diagram. Pareto diagram is a bar graph </em><em>that </em><em>show the problem based on the order of the number of occurrences of the most number of problems until the least happened. A causal diagram is often called a fishbone diagram, a tool for identifying potential causes of an effect or problem. The result of applying the method indicates that 80% defect is caused by unsuitable volume and on the incompatibility of Expired Date (ED) code. The damage is caused by several factors namely the method, labor, and machine while the most potential factor is the volume conformity to reduce the number of defect products.</em></p>

scholarly journals Statistical Quality Control for Human Computation and Crowdsourcing

2018 ◽  
Author(s):  
Yukino Baba
Keyword(s):  
Quality Control ◽  
Critical Issue ◽  
Human Computation ◽  
Statistical Quality Control ◽  
Wisdom Of Crowds ◽  
Statistical Quality ◽  
Statistical Approaches ◽  
The Wisdom Of Crowds

Human computation is a method for solving difficult problems by combining humans and computers. Quality control is a critical issue in human computation because it relies on a large number of participants (i.e., crowds) and there is an uncertainty about their reliability. A solution for this issue is to leverage the power of the "wisdom of crowds"; for example, we can aggregate the outputs of multiple participants or ask a participant to check the output of another participant to improve its quality. In this paper, we review several statistical approaches for controlling the quality of outputs from crowds.

scholarly journals Evaluation of a Photovoltaic Energy System Applied to a Drip Irrigation System

2018 ◽  
Vol 10 (8) ◽  
pp. 43
Author(s):  
Soni Willian Haupenthal ◽  
Jair Antonio Cruz Siqueira ◽  
Luciene Kazue Tokura ◽  
Carlos Eduardo Camargo Nogueira ◽  
Marcio Antonio Vilas-Boas ◽  
...  
Keyword(s):  
Drip Irrigation ◽  
Alternative Energy ◽  
System Analysis ◽  
Irrigation System ◽  
Energy System ◽  
Photovoltaic System ◽  
Statistical Quality Control ◽  
Drip Irrigation System ◽  
Statistical Control ◽  
Photovoltaic Energy

This work aimed to evaluate the performance of a drip irrigation system with photovoltaic energy directly connected to the water pumping system through the irrigation uniformity coefficients using the statistical quality control, with the control chart of Shewhart. The experiment was conducted at the State University of West Parana (UNIOESTE), campus of Cascavel, in the Project CASA (Center of Alternative Energy System Analysis), during six days of open sky. The irrigation system contained four lines with 18 drippers each, collecting the flow of each dripper for five minutes, along with the parameters of temperature and solar radiation. In the energy part, the current and the voltage generated by the panel were analyzed. The main results allowed to evaluate that the flows of the drippers showed changes directly proportional to the decrease or increase of the radiation. Even with the changes in radiation levels during the collection period, the system obtained excellent process capability according to the analyzes of the distribution uniformities. It was also concluded that there was a significant relationship between the coefficients (CUC, DUC and CV) with the process capacity of the flow data. The control plot was adequate to diagnose the treatments. Statistical control proved to be effective for the determination of process variability, thus recommending the use of a drip irrigation system with a solar photovoltaic system directly connected to the pump on open sky days with few clouds due to the lower variability in relation to the graph of control and greater uniformity of water distribution.

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.

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 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.

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