Statistical Quality Control and Process Capability Analysis for Variability Reduction of the Tomato Paste Filling Process

Statistical quality control is a set of tools and techniques that allows to verify, monitor and control the variability of processes to improve product quality and business competitiveness. The objective of this study was to evaluate the pasta production process of a company that belongs to the food industry sector in terms of stability and compliance of quality specifications. The Six Sigma improvement methodology was used, which focuses on identifying and eliminating the causes of variation in the processes. Data collection was accomplished by the use of different techniques, such as: interviews, brainstorming, review of documents, teamwork and direct observation. In addition, process documentation techniques and classical quality tools including Pareto chart, control charts, process capability analysis, histogram, Ishikawa diagram and experimental design were used. Multivariate data reduction techniques were also applied. The results showed for the quality characteristic Humidity that the process is out of statistical control and it is uncapable to meet the required specifications, for which the causes were investigated and improvement actions were proposed, achieving an increase in the sigma quality level.

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Uniformity microsprinkler irrigation system using statistical quality control

Ciência Rural ◽

10.1590/0103-8478cr20160546 ◽

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.

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PENERAPAN IMPROVED GENERALIZED VARIANCE PADA PENGENDALIAN KUALITAS PAVING BLOCK SEGIENAM

Jurnal Gaussian ◽

10.14710/j.gauss.v9i1.27526 ◽

2020 ◽

Vol 9 (1) ◽

pp. 87-97

Author(s):

Nathasa Erdya Kristy ◽

Mustafid Mustafid ◽

Sudarno Sudarno

Keyword(s):

Quality Control ◽

Production Process ◽

Control Chart ◽

Process Capability ◽

Quality Characteristics ◽

Quality Characteristic ◽

Generalized Variance ◽

Process Capability Analysis ◽

Capability Analysis

In quality assurance of hexagonal paving block products, quality control is needed so the products that produced are in accordance with the specified standards. Quality control carried out involves two interconnected quality characteristics, that is thickness and weight of hexagonal paving blocks, so multivariate control chart is used. Improved Generalized Variance control chart is a tool used to control process variability in multivariate manner. Variability needs to be controlled because of in a production process, sometimes there are variabilities that caused by engine problems, operator errors, and deffect in raw materials that affect the process. The purpose of this study is to apply Improved Generalized Variance control chart in controlling the quality of hexagonal paving block products and calculating the capability of production process to meet the standards. Based on the assumption of multivariate normal distribution test, it can be seen that the data of quality characteristics of hexagonal paving blocks have multivariate distribution. While based on the correlation test between variables it can be concluded that the characteristics of the quality of thickness and weight correlate with each other. The result of the control using these control chart shows that the process is statistically in control. The results of process capability analysis show that the production process has been running according to the standard because the process capability index value is generated using a weighting of 0.5 for each quality characteristic that is 1.01517. Keywords: Paving Block, Quality Control, Variability, Improved Generalized Variance, Process Capability Analysis

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Application Research of Process Capability Analysis in Manufacturing Quality Control

Advances in Intelligent Systems and Computing - Recent Developments in Mechatronics and Intelligent Robotics ◽

10.1007/978-3-030-00214-5_53 ◽

2018 ◽

pp. 415-422

Author(s):

Yanming Yang

Keyword(s):

Quality Control ◽

Process Capability ◽

Application Research ◽

Manufacturing Quality ◽

Process Capability Analysis ◽

Capability Analysis

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Research on Quality Control of Clearance between Gears in Mesh Based on the Box-Cox Transformation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.314-316.2443 ◽

2011 ◽

Vol 314-316 ◽

pp. 2443-2448

Author(s):

Wen Hua Shi ◽

Chun Liang Chen ◽

Jin Tao Niu

Keyword(s):

Quality Control ◽

Normal Distribution ◽

Process Capability ◽

Assembly Process ◽

Normal Process ◽

Process Capability Analysis ◽

Capability Analysis ◽

Box Cox Transformation

Abstract: Formerly, the research to the assembly process of gear was commonly based on the normal assumption. However, in practice the clearance between gears in mesh does not necessarily obey normal distribution. Based on the mentioned above, the non-normal process capability analysis is fulfilled with the Box-Cox transformation and the data collected in the workshop. The corresponding result is compared with the directly obtained result, which validates the rationality and effectiveness.

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