Tinjauan Teoritis Pengendalian Kualitas Produk Hasil Industri Dengan Metode Statistik

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.

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

AGROINTEK ◽

10.21107/agrointek.v13i1.4920 ◽

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

Telon oil is one of the traditional medicine in the form of liquid preparations that serves to provide a sense of warmth to the wearer. PT.X is one of the companies that produce telon oil. To maintain the quality of telon oil from PT.X product, 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. Final product quality 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 that 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.

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Analisis Pengendalian Kualitas Menggunakan Bagan Kendali Bivariat dengan Copula pada Industri Manufactur di Indonesia

Indonesian Journal of Fundamental Sciences ◽

10.26858/ijfs.v6i1.13942 ◽

2020 ◽

Vol 6 (1) ◽

pp. 27

Author(s):

Tika Endah Lestari ◽

Sri Susilawati Islam

Keyword(s):

Quality Control ◽

Distribution Function ◽

Control Charts ◽

Control Process ◽

Simple Random Sampling ◽

Statistical Quality Control ◽

Consumer Decision Making ◽

Manufacturing Companies ◽

Statistical Quality ◽

Quality Control Process

Product quality control is an important factor for the industrial world because good quality control and carried out continuously will be able to detect abnormal production results quickly, so that anticipatory action can be taken immediately. Quality is a major factor in consumer decision making before buying goods / services. The problem that occurs at this time in manufacturing companies in Indonesia is how the statistical quality control process can be applied properly. The purpose of this statistical analysis is to find out the statistical quality control process that is applied to manufacturing companies in Indonesia using bivariate control charts with copula. Copula is a function that combines a multivariate distribution function with a uniform one-dimensional marginal distribution function, in this condition the Copula used is the Archimedean Copula group. The method used in this data collection is a simple random sampling with the sample used are three manufacturing companies in Indonesia which covers the areas of Jakarta, Bandung and Makassar. The implementation of Copula in this control chart results in Frank Copula being the best Copula, this supports that the use of Copula in the quality control process has a good role

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A STATISTICAL ANALYSIS OF QUALITY CONTROL PROCESS ON PAPER PRODUCTION: A Case Study of Bel Papyrus Limited, Ogba, Lagos State

International Journal For Research In Business, Management And Accounting (ISSN: 2455-6114) ◽

10.53555/bma.v2i3.1698 ◽

2021 ◽

Vol 2 (3) ◽

pp. 24-33

Author(s):

Ali, Hassana Oseiwu ◽

Orumbe, Seth Obafemi

Keyword(s):

Quality Control ◽

Production Process ◽

Control Charts ◽

Control Process ◽

Quality Standard ◽

Primary Data ◽

Paper Production ◽

Quality Control Process ◽

Lagos State

This research is an analysis of quality control process on paper production on the soft roll production process of Bel Papyrus Ltd located in Ogba, Lagos State, Nigeria. The research was done with the aim of determining the conformity of the industry’s product to quality standard, identifying and eliminating the possible causes of variation in their production process, with reference to Percentage Elongation. The researchers used primary data in form of periodic laboratory test result done on soft rolls.Data presentations were made using simple statistical tools like Mean, Ranges, Standard Deviations, and Tables reflecting the primary data obtained at equal interval of production. The researchers made use of variable control charts for the purpose of analysis. The

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Pengendalian Kualitas Proses Pengemasan Gula Karung Menggunakan Metode Statistical Process Control (SPC)

INVENTORY: Industrial Vocational E-Journal On Agroindustry ◽

10.52759/inventory.v1i1.19 ◽

2020 ◽

Vol 1 (1) ◽

pp. 16

Author(s):

Rizaldi Sardani ◽

Devi Faradila ◽

Suci Oktri Viarani M ◽

Eko Supriadi

Keyword(s):

Quality Control ◽

Process Control ◽

Statistical Process Control ◽

Human Error ◽

Control Process ◽

Statistical Process ◽

Product Packaging ◽

Packaging Process ◽

Quality Control Process

Quality is a benchmark to determine the level of good and bad of a product. The level of quality of a product will affect customer satisfaction, hence, to produce high quality products, it is necessary for a company to have a quality control process. Quality control is a process that aims to maintain the quality of products and services that have been promised to consumers. In this study, quality control is carried out in the sugar packaging process. Where in the sugar packaging process found the resulting product has a poor quality, defective and not in accordance with specifications. This study uses the Statistical Process Control (SPC) method which aims to determine the causes of defective products with the intention that the packaging process can further minimize the level of product defects. The SPC method is a statistical analysis technique with seven statistical tools or seven tools. Based on the results of the study it can be seen that the cause of product damage / defects in the product packaging process is caused by three types of damage namely damage due to conveyor (38.17%), damage due to machine pinched (35.82%), and damage due to loose seams (26,00%) This type of damage can be caused by human error and other factors such as engine condition, engine cleanliness and the monitoring process. Proposed improvements recommended for the company are to provide training to employees, make clear work instructions, conduct periodic maintenance for the machines used, supervise all work areas, and carry out quality control for every acceptance of raw materials.

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Statistical Quality Control Process for Traditional Chinese Medicine

Journal of Biopharmaceutical Statistics ◽

10.1080/10543400600808047 ◽

2006 ◽

Vol 16 (6) ◽

pp. 861-874 ◽

Cited By ~ 18

Author(s):

Siu-Keung Tse ◽

Jang-yang Chang ◽

Wei-Lun Su ◽

Shein-Chung Chow ◽

Chao Hsiung ◽

...

Keyword(s):

Quality Control ◽

Chinese Medicine ◽

Traditional Chinese Medicine ◽

Control Process ◽

Statistical Quality Control ◽

Statistical Quality ◽

Quality Control Process

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Statistics Analysis Measures Painting of Cooling Tower

International Journal of Corrosion ◽

10.1155/2013/389159 ◽

2013 ◽

Vol 2013 ◽

pp. 1-9 ◽

Cited By ~ 2

Author(s):

A. Zacharopoulou ◽

E. Zacharopoulou ◽

G. Batis

Keyword(s):

Quality Control ◽

Cooling Tower ◽

Electrical Power ◽

Control Process ◽

Cooling Towers ◽

Statistics Analysis ◽

Quality Control Process ◽

Analysis Of Failures ◽

Corrosive Environments

This study refers to the cooling tower of Megalopolis (construction 1975) and protection from corrosive environment. The maintenance of the cooling tower took place in 2008. The cooling tower was badly damaged from corrosion of reinforcement. The parabolic cooling towers (factory of electrical power) are a typical example of construction, which has a special aggressive environment. The protection of cooling towers is usually achieved through organic coatings. Because of the different environmental impacts on the internal and external side of the cooling tower, a different system of paint application is required. The present study refers to the damages caused by corrosion process. The corrosive environments, the application of this painting, the quality control process, the measures and statistics analysis, and the results were discussed in this study. In the process of quality control the following measurements were taken into consideration: (1) examination of the adhesion with the cross-cut test, (2) examination of the film thickness, and (3) controlling of the pull-off resistance for concrete substrates and paintings. Finally, this study refers to the correlations of measurements, analysis of failures in relation to the quality of repair, and rehabilitation of the cooling tower. Also this study made a first attempt to apply the specific corrosion inhibitors in such a large structure.

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A multi-layer framework for quality of context in ubiquitous context-aware systems

International Journal of Pervasive Computing and Communications ◽

10.1108/ijpcc-d-17-00024 ◽

2018 ◽

Vol 14 (2) ◽

pp. 165-196 ◽

Cited By ~ 2

Author(s):

Asma Abdul Ghani Al-Shargabi ◽

Francois Siewe

Keyword(s):

Quality Control ◽

Control Process ◽

Quality Characteristics ◽

Context Aware ◽

Content Type ◽

Quality Control Process ◽

Quality Of Context ◽

Comprehensive Framework ◽

Quality Policy

PurposeThis paper aims to introduce a comprehensive framework for quality of context in pervasive context-aware systems. The framework includes the context quality characteristics, the quality policy, the quality calculation methods and the quality control algorithm.Design/methodology/approachThis study used the constructive research method to introduce the framework. The data of a context-aware flooding prediction system to evaluate the approach were used.FindingsThe framework improves the quality of captured context by resolving the missing, error context and the context conflicts using the quality characteristics and quality control process that are introduced in the framework.Originality/valueThis work is original. It is based on the author’s PhD work in De Montfort University.

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Is Dodd-Frank the Biggest Law Ever?

Journal of Financial Regulation ◽

10.1093/jfr/fjab001 ◽

2021 ◽

Cited By ~ 1

Author(s):

Patrick A McLaughlin ◽

Oliver Sherouse ◽

Mark Febrizio ◽

M Scott King

Keyword(s):

Quality Control ◽

Consumer Protection ◽

Control Process ◽

Recent History ◽

Wall Street ◽

Consumer Protection Act ◽

Quality Control Process ◽

Regulatory Effects ◽

Potential Interactions

ABSTRACT The passage of the Dodd-Frank Wall Street Reform and Consumer Protection Act in 2010 continued a trend toward lengthier and more complex acts of Congress. In this article, we use novel metrics of the size, scope, and complexity of acts of Congress to assess Dodd-Frank’s place in this trend. Our analysis is consistent with the hypothesis that, in terms of its regulatory effects, Dodd-Frank is the biggest act of Congress in recent history and may become the biggest ever. We argue that this trend toward longer and more complex laws can cause deterioration in the quality of the regulations the laws authorize for two procedural reasons. First, a large act can create a regulatory surge that overwhelms the quality control process. Second, because a large act can precipitate the creation of many regulations by different agencies that target the same industry, the agencies create rules in relative ignorance of their potential interactions.

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ANALISIS PENGENDALIAN KUALITAS PRODUK TELUR AYAM PADA UD AMINA KELURAHAN PETOBO DI KOTA PALU

Jurnal Ilmu Manajemen Universitas Tadulako (JIMUT) ◽

10.22487/jimut.v4i3.130 ◽

2020 ◽

Vol 4 (3) ◽

pp. 271-280

Author(s):

Diah Anggraeni Mahid ◽

Saharuddin Kaseng ◽

Syamsuddin Syamsuddin

Keyword(s):

Quality Control ◽

Egg Production ◽

Control Process ◽

Sampling Technique ◽

Statistical Quality Control ◽

Analysis Tool ◽

Control Analysis ◽

Statistical Quality ◽

Chicken Egg ◽

Quality Control Process

This study aims to determine and analyze the quality control of chicken eggs in an effort to control the level of chicken egg disability and whether the level of disability is within the limits of control at UD Amina Palu. Quality control process applied. UD Amina Palu in chicken egg production is using vasninator service provider of medicines. A common defect criteria for chicken egg production in UD Amina is egg crack criteria as much as 209 eggs, of the four criteria, ie cracking, hollow, thin, pale and broken. The method used is descriptive method with census sampling technique where the samples taken as much as the population produced during 25 working days. This research uses product quality control analysis tool based on Statistical Quality Control (SQC) method for attribute data by using Check Sheet and P-chart disability proportion control chart with standard deviation 3. The result of this research shows that the quality control of defect product done by UD Amina The hammer is in a controlled state or is within the limits of control. Penelitian ini bertujuan untuk mengetahui dan menganalisis pengendalian kualitas telur ayam dalam upaya mengendalikan tingkat kecacatan telur ayam dan apakah tingkat kecacatan berada dalam batas pengendalian pada UD Amina Palu. Proses pengendalian kualitas yang diterapkan. UD Amina Palu dalam produksi telur ayam adalah menggunakan jasa vasninator penyedia obat-obatan. Kriteria kecacatan yang sering terjadi pada produksi telur ayam di UD Amina adalah kriteria telur retak sebanyak 209 butir, dari keempat kriteria, yaitu retak, berlubang, tipis, pucat dan pecah. Metode yang digunakan adalah metode deskriptif dengan teknik pengambilan sampel secara sensus dimana sampel yang diambil sebanyak populasi yang dihasilkan selama 25 hari kerja. Penelitian ini menggunakan alat analisis pengendalian kualitas produk berdasarkan metode Statistical Quality Control (SQC) untuk data atribut dengan menggunakan Check Sheet dan peta kendali proporsi kecacatan P-chart dengan standar deviasi 3. Hasil penelitian ini menunjukan bahwa pengendalian kualitas produk cacat yang dilakukan oleh UD Amina Palu dalam keaadaan terkendali atau berada dalam batas pengendalian.

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PRINTING QUALITY CONTROL OF AICE PRODUCT PACKAGING AT PT TEMPRINA MEDIA GRAFIKA PACKAGING BEKASI

KREATOR ◽

10.46961/kreator.v3i1.292 ◽

2021 ◽

Vol 3 (1) ◽

Author(s):

Riky Rusdianto ◽

Anton Hadiwibowo ◽

Mukhyidin Djaiz

Keyword(s):

Quality Control ◽

Raw Materials ◽

Control Process ◽

Print Quality ◽

Literature Study ◽

Product Packaging ◽

Cause And Effect ◽

Final Project ◽

Cause And Effect Diagram

The process of controlling the quality of the packaging mold in this final project aims to determine the factors that must be considered, carry out the control process and perform problem solving using a fishbone chart cause and effect diagram. To achieve good print quality, it is necessary to know the problem factors that can affect print quality. This final project focuses on the process of controlling the packaging mold for Aice products. This control process is carried out from the process of icoming the raw materials to the out going of the finished product. This writing uses a descriptive method, which is a writing method that describes and describes the quality control of Aice's product packaging prints. Methods were collected from literature study and observation at PT. Temprina Media Grafika Packaging Bekasi about 3 months. Measurements in quality control use a check list form, color range and cause and effect diagrams fishbone chart. The results of this final project show that in the process of controlling the quality of a good packaging mold, it is necessary to pay attention to factors that can affect quality such as human, material, method, machine and environment. The control process is carried out in several stages, namely control of raw materials, control of the production process, sampling of packaged printed products, controlling the finished product, then solving problems using a fishbone chart cause and effect diagram. To maintain the quality of the products produced, it is necessary to add supporting components in the process of controlling the quality of the mold, increasing optimization of machine maintenance and increasing the skills of human resources. Keywords— Control, print quality, descriptive, fishbone chart

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