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

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 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 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 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 Estimating the Cost of Improving Quality in Production Dry Building Mixtures

2022 ◽  
Author(s):  
V. Loganina
Keyword(s):  
Quality Management ◽  
Product Quality ◽  
Raw Materials ◽  
Cost Model ◽  
Statistical Quality ◽  
The Cost

Abstract. Provides information about the cost model associated with improving product quality. On the example of dry building mixtures, the issues of statistical quality management are considered. The cost model takes into account the cost of reducing the bias and variance of raw materials.

scholarly journals ANALISIS STATISTICAL QUALITY CONTROL DALAM UPAYA MENGURANGI JUMLAH PRODUK CACAT DI PABRIK ROTI THE LI NO’U BAKERY

2020 ◽  
Vol 1 (1) ◽  
pp. 24-36
Author(s):  
RAHMAWATY AHMAD ◽  
RESMAWAN RESMAWAN ◽  
DEWI RAHMAWATY ISA
Keyword(s):  
Quality Control ◽  
Control Charts ◽  
Raw Materials ◽  
Statistical Quality Control ◽  
Bakery Products ◽  
Management Activity ◽  
Statistical Quality ◽  
Cause And Effect ◽  
Production Errors ◽  
Cause And Effect Diagram

Quality control is a technical and management activity which measures the quality characteristics of a product or service. Statistical quality control can be used to find production errors that result in defective products so that further corrective action can be taken to overcome them. The objective to be achieved in this research is to determine the Statistical Quality Control (SQC) method with pareto diagrams, control charts, cause and effect diagrams and 5W+1H analysis applied to The Li No'u Bakery in controlling quality to minimize failed products. The data in this study were obtained through direct observation and field interviews. Data analysis tools used are control charts, pareto diagrams, cause and effect diagrams and 5W + 1H analysis. Through a cause and effect diagram, the main factors causing the failure of bakery products at The Li No'u Bakery are manufacturers/employees. This is because the operator fails in making bakery products both the preparation of raw materials, the production process and packaging. So training is needed on making the dough, how to put bread and how to covenant and employee order according to the standard of The Li No'u Bakery.

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.

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