scholarly journals Defining the best quality-control systems by design and inspection

1997 ◽  
Vol 43 (5) ◽  
pp. 873-879 ◽  
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.

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

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

Statistical Quality Control Process for Traditional Chinese Medicine

2006 ◽  
Vol 16 (6) ◽  
pp. 861-874 ◽  
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

scholarly journals PENGAWASAN MUTU BERAS PADA PERUSAHAAN UMUM BULOG DIVISI REGIONAL SUMATERA UTARA

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Rifka Irhamna Harahap ◽  
Faiz . Ahyaningsih
Keyword(s):  
Quality Control ◽  
Quality Assurance ◽  
Statistical Quality Control ◽  
Total Quality ◽  
Quality Cost ◽  
Cost Of Quality ◽  
Statistical Quality ◽  
The People ◽  
Almost All ◽  
The Cost

ABSTRAKBeras adalah makanan pokok paling penting bagi penduduk Indonesia. Beras juga merupakan sumber utama pemenuhan gizi yang meliputi kalori, protein, lemak dan vitamin. Perusahaan Umum BULOG memiliki tanggung jawab untuk peningkatan stabilisasi dan pengelolaan persediaan bahan pokok dan pangan. Salah satunya bahan pangan yang dikelola BULOG adalah beras. Pihak BULOG terkadang menerima keluhan mengenai kualitas beras yang disalurkan tidak layak konsumsi atau buruk. Permasalahan dapat di ketahui penyebabnya dengan menggunakan salah satu alat dari Statistical Quality Control, yaitu Peta Kendali. Peta Kendali menunjukkan hampir keseluruhan data sudah terkendali secara statistik tetapi ada beberapa data yang di luar kendali yaitu pada bulan Juli, Agustus dan September. Ini disebabkan karena terlalu lama masa simpan dipenyimpanan gudang. Biaya yang dikeluarkan untuk memperbaiki mutu yaitu Biaya Pengawasan Mutu, Biaya Jaminan Mutu dan Total Biaya Mutu. Biaya yang dikeluarkan yaitu Biaya Pengawasan Mutu sebesar Rp 14.462.218,32, Biaya Jaminan Mutu sebesar Rp. 740. 244.100 dan Total Biaya Mutu sebesar Rp 754.706.318,18. Biaya dapat diminimumkan dengan mengoptimumkan kerusakan sebesar 1.034.677,331 kg maka biaya pengawasan mutu sebesar Rp. 103.466.733. biaya jaminan mutu sebesar Rp 103.467.733,1 dan total biaya mutu menjadi Rp 206.935.466,1.Kata kunci: Beras, Mutu, Stastical Quality Control, Biaya Mutu ABSTRACTRice is the most important for the people of Indonesia.Rice is also a major source of nutritional fulfillment which includes calories, protein, fat and vitamins.Perum BULOG has responsibility for improving the stabilization and management of staple and food supplies.One of the foodstuffs managed by BULOG is rice.BULOG parties sometimes receive complaints about the quality of rice distributed unfit for consumption or bad.Problems can be known by using one of the tools of Statistical Quality Control, namely Control Chart.The control chart shows almost all data is statistically controlled but there are some data out of control that is in July, August and September.This is because too long shelf store warehouse storage.Costs incurred to improve quality are Quality Control Costs, Quality Assurance Costs and Total Quality Costs.The cost incurred is the Cost of Quality Supervision of Rp 14,462,218.32, Quality Assurance Cost of Rp. 740. 244,100 and Total Quality Cost of Rp 754,706,318.18.The cost can be minimized by optimizing the damage of 1,034,677,331 kg then the cost of quality control is Rp. 103.466.733. cost of quality assurance of Rp 103,467,733.1 and total cost of quality to Rp 206,935,466.1.Keywords: Rice, Quality, Statistical Quality Control, Quality Cost

scholarly journals ANALISIS PENGENDALIAN KUALITAS PRODUK TELUR ASIN PADA UD. SARI LUWIH DI DESA PADANG LUWIH

2020 ◽  
Vol 9 (6) ◽  
pp. 2332
Author(s):  
Angela Ayu Dewi Candrawati ◽  
I Nyoman Nurcaya
Keyword(s):  
Quality Control ◽  
Egg Production ◽  
Optimal Level ◽  
Statistical Quality Control ◽  
Quality Cost ◽  
Cost Of Quality ◽  
Statistical Quality ◽  
Quality Costs ◽  
Egg Products ◽  
The Cost

Good quality in the production process, with predetermined standards will minimize damaged products. The study was conducted at UD. Sari Luwih is a manufacturing and trading company that processes and sells salted egg products. This study aims to determine the quality control system of salted egg production processes at UD. Sari Luwih is optimal or not. Research is descriptive with a qualitative approach. The sampling method is by census technique. The data used in this study, is the data on the number of damaged salted egg products in the period from October to November 2019 with a sample of 37,500 eggs saturated. The analysis technique used is statistical quality control (SQC) using Check sheets, P-charts, Fishbone diagrams, and Quality cost. The results of the analysis using the P-chart show the amount of product damage that is beyond the control limits and requires more control, whereas for quality costs in 2019, the company's actual cost of quality is Rp. 21,210,696.89 is greater than the optimum quality cost where the cost is Rp. 17,389,652.10 shows that the cost of quality control has not yet reached the optimal level. Keywords: quality cost; quality; statistical quality control; SQC.

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

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.

Standarisasi Biaya Produksi Terhadap Total Quality Control PAda PTP. Pabrik Gula Takalar

Liquidity ◽  
2018 ◽  
Vol 2 (1) ◽  
pp. 54-58 ◽  
Author(s):  
Jamaluddin Jamaluddin
Keyword(s):  
Quality Control ◽  
Control System ◽  
Production Quality ◽  
Production Costs ◽  
Statistical Quality Control ◽  
Total Quality ◽  
Production Quality Control ◽  
Statistical Quality ◽  
The Cost ◽  
The Relationship

In planning the profit, understanding the relationship between the cost of profit, volume and profit are fundamental in its analysis. This study examines the standardization of the production costs of the company to increase quality control of PTP. Pabrik Gula Takalar. The results concluded that the cost of production on PTP. Sugar Factory Takalar can improve the expected of quality control. In addition, production quality control system implemented in the sugar processing is not been applied to the Statistical Quality Control.

scholarly journals Implementation of Statistical Quality Control Tools on Machining of Pipes

2021 ◽  
Vol 9 (9) ◽  
pp. 2069-2079
Author(s):  
Aadyansh Agarwala
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Raw Materials ◽  
Production Unit ◽  
Statistical Quality Control ◽  
Statistical Quality ◽  
Cost Of Production ◽  
The Cost

Abstract: Inferior quality of pipes are most common and avoidable problem in the production unit. This often leads to increase in expenses precisely on variable costs such as raw materials. A lot of raw goods are wasted due to ignorance in quality management thereby increasing the cost of production. By implementing various quality control tools in this industry, we can reduce the inferiority in the pipes and hence reduce the cost

Statistical Quality Control of HIV-1 ELISA Test Performance

1994 ◽  
Vol 89 (428) ◽  
pp. 1200-1208 ◽  
Author(s):  
R. C. Gentleman ◽  
M. S. Hamada ◽  
D. E. Matthews ◽  
A. R. Wilson
Keyword(s):  
Quality Control ◽  
Test Performance ◽  
Elisa Test ◽  
Statistical Quality Control ◽  
Statistical Quality ◽  
Hiv 1
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