scholarly journals BASE SINGLE PART PRODUCT QUALITY CONTROL USING STATISTICAL QUALITY CONTROL (SQC) METHOD IN PT DIRGANTARA INDONESIA MACHINING DEPARTMENT

2021 ◽  
Author(s):  
Doni Riadi ◽  
◽  
Ade Geovania Azwar ◽  

Base Single Part is the main component of the cable installation that functions as a connector between cables in the aircraft. As a critical part, the Base Single Part is the most important sub-component that must be completed to be installed in the aircraft part. Base Single Part is a part that is used in all types of aircraft which are specially produced at PT. Dirgantara Indonesia, in one aircraft this component can be installed in the amount of 8000-9000 Base Single Part. In relation to the request from the Final Assembly Line section regarding the request for the Base Single Part component, there are still some products that do not meet the specifications so that they have to be repaired, such as holes that do not match the size, this causes the delivery order process to the Final Assembly Line section to be hampered and disruptive smooth production. The purpose of this research is to control the quality of the Base Single Part product by using a p control chart, and a causal diagram.The results of the study conclude that the calculation of the percentage level of defect in the Base Single Part component using the p control chart, there are 3 percentage points that are outside the control limit, namely in August with a disability percentage of 15.11%, in September 10.32%, and October 15.60%. Factors causing defects in Base Single Part components consist of 3 factors, human factors, method factors and machine factors. The human factor is workers who are less productive. Furthermore, the method factor is regarding the fluctuating production schedule and the last cause is the machine factor that lacks maintenance.

Author(s):  
Somchart Thepvongs ◽  
Brian M. Kleiner

Consistent with the precepts of total quality control and total quality management, there has been a resource shift from incoming and outgoing inspection processes to statistical quality control of processes. Furthermore, process control operators are responsible for their own quality, necessitating the in-process inspection of components. This study treated the statistical process control task of “searching” control charts for out-of-control conditions as an inspection task and applied the Theory of Signal Detection to better understand this behavior and improve performance. Twelve subjects participated in a research study to examine how the portrayal of control chart information affected signal detection theory measures. The type of display did not have a significant effect on the sensitivity and response criterion of subjects. These results are discussed in terms of the applicability of Signal Detection Theory in control chart decision making as well as implications on display design.


2020 ◽  
Vol 16 (3) ◽  
pp. 325
Author(s):  
Elsa Resa Sari

One technique used in performing statistical quality control is by poisson control chart. Poisson control chart used in data that have the same mean and varians for monitoring the number of defects in the study. In some cases, the different sample sizes influence the control chart performance. The control chart performance can be measured using average run length (ARL). The smaller ARL’s value, the better type of control chart. In this study, we used different sample sizes  that is  and mean . The result show the best performance of control chart is when  and m = 200, because its has a smaller ARL’s value.                            


2017 ◽  
Vol 7 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Muhammad Syarif Hidayatullah Elmas

Quality Control is an activity (company management) to maintain and navigate to product quality (and) services companies can be maintained as planned. Quality Control used the company to minimize failed products using methods of Statistical Quality Control (SQC) so that the company can meet the quality products that have been specified businesses and consumers are satisfied in consuming the product. The purpose of that will be achieved in this research is to determine the method of Statistical Quality Control (SQC) with tekhnik control chart and diagram of cause and effect applied the company Bakery Barokah Bakery in quality control to minimize the product failed. Tekhnik data collection that is used is a library research and field research, while data analysis tool  that  is  used control  chart and  diagram  of  cause  and  effect. The  results  of  the  analysis  of control charts shows that the number of products that are examined as much as 27.710 units, the average of 0,099 product damage or 9.9%. Limitations: UCL supervision of 0,1161 or 11.61%, LCL of 0,0819 or 8,12%. Quality control on  the Bakery Barokah Bakery is  good because the  number of failed products are  still within the boundaries of fair is located between UCL and LCL. While the results from the diagram for result (fish bones), the main factor the causes of the failure of the products of bread in the Bakery Barokah Bakery namely human factors. Where people fail in the making of the bread products. So required training to minimize failed products that occurred caused by human factors.


2017 ◽  
Author(s):  
Evi Yuniarti

The objective of this research was to get full understanding of acceptance sampling application, create control chart, and identify types of rattan defects. This research employed qualitative approach design coupled with interpretive research paradigm. Statistical quality control (SQC) method was administered to analyze the data. Analysis using this method subsumes 2 methods, namely Control Chart Analysis and Pareto Diagram Analysis. The results of the research showed that through control chart analysis it was found that all kinds of product defects; namely broken node, detached fiber, scratched skin, and gray color were still statistically under control. From the Pareto diagram, it was identified that the primary breakage of the products was chiefly attributed to human beings, who directly play important role in creating finished products of the desired quality. Many of the workers are those with poor skill and experience.


Author(s):  
Syahreza Yusuf ◽  
Harwan Ahyadi

Assembly line merupakan proses penggabungan part/bagian yang dimana setiap part tersebut disusung berdasarkan urutan proses untuk menghasilkan produk jadi yang lebih cepat dari metode biasanya. Dalam proses assembly line untuk tipe W213 yang di produksi PT X Indonesia masih banyak terjadi kerusakan. Hasil penelitian menunjukkan bahwa jumlah kerusakan untuk part yang rusak sebanyak 92 unit, gap & transition 82 unit, kegagalan fungsi 40 unit, dan part yang kotor 10 unit. Untuk kerusakan tersebut maka dilakukan pengendalian kualitas dengan menggunakan metode Statistical Quality Control (SQC), yang dimana dari pengendalian kualitas tersebut didapat persentase kerusakan untuk part yang rusak 41,1%, gap & transition 36,6%, kegagalan fungsi 17,9% dan part yang kotor 4,5%. Standar kerusakan yang diterapkan yaitu 25% dari tiap produksi, maka perlu dilakukan perbaikan yang dimana perbaikan tersebut meliputi pengawasan material yang akan diproses, mesin yang digunakan, operator yang melakukan perakitan dan metode pemasangan part yang harus selalu di awasi.


Author(s):  
Bayu Bisma Nanda ◽  
Wiwik Sulistiyowati

PT. DS2 is one of the producers of household appliances, kitchen utensils, and children's toys to bottles and jerry cans, to produce 5 liters of jerry using 2 Blow Molding machines that can produce an average jerry of 6750 / plastic jerry per day. In the production process there are defects found in 5 liter jerry products. This study aims to determine the cause of defect, what factors cause defect. Method used in this research is SQC and RCA in an effort to determine the defect in the 5 liter jerry production process. From the results of research that has been done, the highest value of disability is PL bloom defect with 1686 pcs with a cumulative percentage of 41%. Based on the analysis using the control p chart that all percentages of defective pruduct are still in the control chart and declared safe.


2021 ◽  
Vol 4 (2) ◽  
pp. 109-123
Author(s):  
Melinda Anggita Putri ◽  
Cheryll Chameloza ◽  
Rista Anggriani

Abstract. Canning fish is a processed fish product that has gone through a processing stage, packaged in cans and given heat to ripen fish and other fillings and kill spoilage microbes. During the fish canning process there is product damage caused by several factors such as the production process that is not in accordance with the procedures, poor machinery and equipment, and unsupportive environmental conditions. One of the main causes of damage to fish canning products is cans damage which results in products being contaminated with microbes so that the contents of the cans will experience changes in color, taste and odor. Product damage needs to be minimized by carrying out quality control. Product quality is the most important aspect for companies to survive in the midst of competition between companies. One of the efforts that can be used to maintain product quality is the Statistical Quality Control method. This method can be used to analyze, manage and improve non-standard processes using a statistical approach. SQC has the ability to describe process abnormalities, see the pattern of increasing/decreasing processes in the process, so that corrective action can be taken and even preventive action before the problem actually occurs. The purpose of this study was to determine the quality of fish canning products from the level of product damage using the Statistical Quality Control method and to determine the causes of damage to fish canning products. The study was conducted using the Statistical Quality Control method with the stages of making a check sheet, histogram, control chart, and finally making a causal diagram to determine the cause of product damage. Based on the results of the analysis of calculations using the control chart for 26 days of observation, it is known that there is still damage that is outside the upper control limit which indicates a deviation and based on the analysis of the causal diagram of the factors that cause deviations, namely machines, materials, methods, humans and the environment. Keywords: Cause and Effect Diagram, Control Chart, Deviation, Product Damage Abstrak. Pengalengan ikan merupakan produk olahan ikan yang telah melalui tahap pemrosesan, dikemas dalam kaleng dan diberi panas untuk mematangkan ikan dan isian lainnya serta membunuh mikroba pembusuk. Pada saat proses pengalengan ikan terdapat kerusakan produk yang disebabkan oleh beberapa faktor seperti proses produksi yang tidak sesuai dengan prosedur, mesin dan peralatan yang kurang baik, serta kondisi lingkungan yang tidak mendukung. Salah satu penyebab kerusakan produk pengalengan ikan yang utama yaitu kerusakan kaleng yang mengakibatkan produk terkontaminasi dengan mikroba sehingga isi kaleng akan mengalami peruabahan warna, rasa dan bau yang tidak sedap. Kerusakan produk perlu diminimalisir dengan melakukan pengendalian kualitas. Kualitas produk merupakan aspek terpenting bagi perusahaan agar tetap bertahan di tengah persaingan antar perusahaan.  Salah satu upaya yang dapat digunakan untuk menjaga kualitas produk yaitu dengan metode Statistical Quality Control. Metode ini dapat digunakan untuk menganalisis, mengelola dan memperbaiki proses-proses yang tidak sesuai standar dengan menggunakan pendekatan statistika. SQC mempunyai kemampuan menggambarkan ketidaknormalan proses, melihat pola kecenderungan peningkatan/ penurunan proses, sehingga bisa diambil tindakan perbaikan bahkan tindakan pencegahan sebelum masalah tersebut benar-benar terjadi. Tujuan dari penelitian ini yaitu untuk mengetahui kualitas produk pengalengan ikan dari tingkat kerusakan produk dengan metode Statistical Quality Control serta untuk mengetahui penyebab dari kerusakan produk pengalengan ikan. Penelitian dilakukan menggunakan metode Statistical Quality Control dengan tahapan pembuatan check sheet, histogram, peta kendali, dan terakhir pembuatan diagram sebab akibat untuk mengetahui penyebab kerusakan produk. Berdasarkan hasil analisa dari perhitungan menggunakan peta kendali p selama 26 hari pengamatan, diketahui masih terdapat kerusakan yang berada diluar batas kendali atas yang menunjukkan adanya penyimpangan dan berdasarkan dari analisa diagram sebab akibat faktor yang menyebabkan penyimpangan yaitu mesin, material, metode, manusia dan lingkungan.   Kata Kunci: Diagram Sebab Akibat, Kerusakan Produk, Penyimpangan, Peta Kendali


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