scholarly journals Minimize Defects in 5 Liters Jerry Cans by Using Statistical Quality Control and Root Cause Analysis

2021 ◽  
Vol 4 (2) ◽  
pp. 51-63
Author(s):  
Bayu Bisma Nanda ◽  
Wiwik Sulistiyowati
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Control Chart ◽  
Root Cause Analysis ◽  
Statistical Quality Control ◽  
Cause Analysis ◽  
Household Appliances ◽  
Cumulative Percentage ◽  
Statistical Quality ◽  
Root Cause

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.

scholarly journals PENGENDALIAN KUALITAS PRODUK BRAKE LINING PADA FORMULA NON-ASBASE DENGAN METODE STATISTICAL PROSES CONTROL (SPC) DAN ROOT CAUSE ANALYSIS (RCA) DI PT. XYZ SURABAYA

2019 ◽  
Vol 20 (1) ◽  
pp. 1
Author(s):  
Issa Dyah Utami
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Control Chart ◽  
Root Cause Analysis ◽  
Hot Press ◽  
Statistical Process ◽  
Cause Analysis ◽  
Root Cause ◽  
Brake Lining

XYZ adalah salah satu perusahaan manufaktur yang bergerak dalam produksi komponen otomotif, produk yang dihasilkan yaitu Brake Lining dengan formula non-asbase diantaranya formula Lf-4, KN-356, NA-109F, NA-135, dan NA-146. Dalam menghadapi persaingan yang ada, PT. XYZ berusaha meningkatkan kualitas produk yang dihasilkan dengan target reject sebesar 0,5% pada tahun 2018. Permasalahan manajemen quality control yang ada di PT. XYZ salah satunya pada area hot-press nomor 11 dan 12 tidak pernah bisa mencapai target produksi dan seringnya keterlambatan barang dari area pre-forming. Sehingga perlu adanya penanganan segera dengan melakukan analisis perbaikan kualitas guna menghasilkan produk yang sesuai spesifikasi dan dapat mencapai target produksi yang ditetapkan oleh perusahaan. Metode yang digunakan dalam penelitihan ini adalah Statistical Process Control (SPC) dan Root Cause Analysis (RCA). Hasil analisis check sheet dan diagram pareto dapat dilihat frekuensi defect paling banyak terjadi pada formula LF-4 model K-2252 dengan jumlah cacat sebanyak 69 produk pada bulan Agustus sampai September dengan presentase reject sebanyak 19%. Serta dari gambar control chart P data dalam keadaan tidak terkontrol. Hal ini terjadi karena faktor manusia, faktor metode, faktor mesin, dan faktor material.

scholarly journals Precision Analysis of Poisson Control Chart Based on Sample Size

2020 ◽  
Vol 16 (3) ◽  
pp. 325
Author(s):  
Elsa Resa Sari
Keyword(s):  
Quality Control ◽  
Sample Size ◽  
Control Chart ◽  
Average Run Length ◽  
Statistical Quality Control ◽  
Sample Sizes ◽  
Precision Analysis ◽  
Run Length ◽  
Statistical Quality ◽  
Result Show

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.                            

scholarly journals Integration of Statistical Quality Control (SQC) and Fault Tree Analysis (FTA) in the quality control of resina colophonium production in Company X

2021 ◽  
Vol 924 (1) ◽  
pp. 012062
Author(s):  
A L Rucitra ◽  
A U F Amna
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Control Method ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Statistical Quality Control ◽  
Control Analysis ◽  
Tree Analysis ◽  
Statistical Quality ◽  
A Value

Abstract Resina colophonium is a product that is produced from the processing of pine sap. This product is widely used for adhesives, additives for beauty products and mixtures of paints and varnishes. One of the companies engaged in the production of resina colophonium is Company X. Production process is an important aspect of the company, so any problems must be avoided to eliminate product defects. One way that can be done to avoid problems in the production process is to carry out proper quality control. The purpose of this study was to analyze the quality control of the production process at Company X. The quality control method used is the integration of the Statistical Quality Control (SQC) method to determine the frequency of problems and Fault Tree Analysis (FTA) to complete identification by looking for the causes of these problems so that problem did not repeat. Based on the results of the quality control analysis, it is found that the most serious problem that affects the quality of the production process lies in the labor aspect with a value number is 38.46% and the root of the potential cause is the number of workers who are not following the current work.

scholarly journals PENGENDALIAN KUALITAS DENGAN MENGGUNAKAN METODE STATISTICAL QUALITY CONTROL (SQC) UNTUK MEMINIMUMKAN PRODUK GAGAL PADA TOKO ROTI BAROKAH BAKERY

2017 ◽  
Vol 7 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Muhammad Syarif Hidayatullah Elmas
Keyword(s):  
Quality Control ◽  
Human Factors ◽  
Control Chart ◽  
Control Charts ◽  
Field Research ◽  
Statistical Quality Control ◽  
Analysis Tool ◽  
Statistical Quality ◽  
Cause And Effect ◽  
Library Research

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.

Identification and root cause analysis of aberrant CD4+ cell counts in an HIV cohort: the importance of quality control in changing laboratory procedure

AIDS ◽  
2020 ◽  
Vol 34 (13) ◽  
pp. 1869-1873
Author(s):  
Raynell Lang ◽  
Chris Czarnecki ◽  
John Kim ◽  
Joanne Luider ◽  
Jennifer J. Bishop ◽  
...  
Keyword(s):  
Quality Control ◽  
Root Cause Analysis ◽  
Laboratory Procedure ◽  
Cause Analysis ◽  
Root Cause ◽  
Cell Counts ◽  
Cd4 Cell Counts ◽  
Cd4 Cell
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