Statistical Quality Control

1945 ◽  
Vol 5 (04) ◽  
pp. 207-217
Author(s):  
H. C. H. Carpenter
Keyword(s):  
Quality Control ◽  
Statistical Methods ◽  
Mass Production ◽  
Manufacturing Process ◽  
Statistical Quality Control ◽  
Statistical Quality ◽  
The Subject

The actuary's ideas on statistics tend to be biased in the direction of Life Office statistics. It may therefore be useful to set down a simple use of statistical methods which has been adopted in industry and which was the subject of a lecture to the Students' Society some two years ago, viz. Statistical Quality Control. Where the mass production of articles is employed, various systems of inspection aim at watching the quality of the product to prevent unsatisfactory work being passed on to the consumer or to a later stage in the manufacturing process.

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 Tinjauan Teoritis Pengendalian Kualitas Produk Hasil Industri Dengan Metode Statistik

2020 ◽  
Vol 3 (1) ◽  
pp. 24-29
Author(s):  
L.Virginayoga Hignasari
Keyword(s):  
Quality Control ◽  
Statistical Methods ◽  
Control Charts ◽  
Control Process ◽  
Statistical Quality Control ◽  
Industrial Product ◽  
Literature Study ◽  
Quality Control Process ◽  
Mode Effect

This study was aimed to determine the quality control process of an industrial product with theoretical statistical methods. This research was a qualitative research with literature study method. Data obtained from several studies that take samples in the field of goods industry. The data obtained was then analyzed and described descriptively. The quality of a product was one of the basic decisions of consumers to be satisfied with the products they buy according to their wishes and expectations. Statistical quality control was a problem solving technique that was used as a monitor, controller, analyzer, manager and improve the process by using statistical methods. The quality control process of an industrial product with statistical methods was as follows: 1) Made Chech Sheets, 2) Made Pareto Diagrams, 3) Made Control Charts, 4) Made Cause and Effect Diagrams, 5) Made Failure Mode Effect Anlaysis (FMEA) table.

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 Pengendalian Kualitas untuk Meminimalkan Jumlah Cacat pada Produk Kaleng Aeorosol

2012 ◽  
Vol 3 (1) ◽  
pp. 584
Author(s):  
Rida Zuraida ◽  
Bima Rantautama ◽  
Notri Sutrisnohadi ◽  
Chondro Dewo Adi Pratomo
Keyword(s):  
Quality Control ◽  
Data Processing ◽  
Manufacturing Process ◽  
Process Capability ◽  
Statistical Quality Control ◽  
Welding Wire ◽  
Effect Analysis ◽  
Aerosol Cans ◽  
Fmea Method

2.64% is the largest defect percentage of aerosol can product of PT Multi Makmur Indah Industri. To improve the product quality, the study focused on the goal of reducing the percentage of defects using the Statistical Quality Control. After gaining control of the company, we can calculate the process capability in the aerosol can manufacture. The next step is identification of the defects causes that arise using the failure mode and effect analysis (FMEA) method to measure the defect causes risks and as an input in determining control recommendations. From the observations and data processing, it is recognized that the overall phase of the process has a process capability value above 99%. 80% of defects in the aerosol cans product occur during the process of can making, component making and printing. While the most risking defect cause is the destruction ofmachine B coating on the printing process (RPN = 245) and the quality of the welding wire on can manufacturing process (RPN = 160). Therefore, the solution to reduce the defect percentage is replacing the damaged coating machine B as well as upgrading the quality of the welding wire. Thus, it can reduce the losssale as much as 1.06% (Rp110,716,000) per month.

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.

Sign in / Sign up

Export Citation Format

Share Document