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

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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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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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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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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Tinjauan Teoritis Pengendalian Kualitas Produk Hasil Industri Dengan Metode Statistik

Jurnal Ilmiah Vastuwidya ◽

10.47532/jiv.v3i1.97 ◽

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.

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Monitoring intensive care unit performance using statistical quality control charts

International journal of clinical monitoring and computing ◽

10.1007/bf01246449 ◽

1993 ◽

Vol 10 (3) ◽

pp. 155-161 ◽

Cited By ~ 6

Author(s):

William H. Chamberlin ◽

Kevin A. Lane ◽

James N. Kennedy ◽

Scott D. Bradley ◽

Charles L. Rice

Keyword(s):

Intensive Care Unit ◽

Quality Control ◽

Intensive Care ◽

Control Charts ◽

Statistical Quality Control ◽

Statistical Quality ◽

Quality Control Charts ◽

Unit Performance

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Defining the best quality-control systems by design and inspection

Clinical Chemistry ◽

10.1093/clinchem/43.5.873 ◽

1997 ◽

Vol 43 (5) ◽

pp. 873-879 ◽

Cited By ~ 21

Author(s):

C Martin Hinckley

Keyword(s):

Quality Control ◽

Task Complexity ◽

Process Variation ◽

Control Process ◽

Statistical Quality Control ◽

Cultural Changes ◽

Statistical Quality ◽

The Many ◽

The Cost ◽

Inspection Techniques

Abstract Not all of the many approaches to quality control are equally effective. Nonconformities in laboratory testing are caused basically by excessive process variation and mistakes. Statistical quality control can effectively control process variation, but it cannot detect or prevent most mistakes. Because mistakes or blunders are frequently the dominant source of nonconformities, we conclude that statistical quality control by itself is not effective. I explore the 100% inspection methods essential for controlling mistakes. Unlike the inspection techniques that Deming described as ineffective, the new “source” inspection methods can detect mistakes and enable corrections before nonconformities are generated, achieving the highest degree of quality at a fraction of the cost of traditional methods. Key relationships between task complexity and nonconformity rates are also described, along with cultural changes that are essential for implementing the best quality-control practices.

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