scholarly journals Implementation of Statistical Process Control Method and Root Cause Analysis on Quality of Bitter Tannin Tea Tin

2020 ◽  
Vol 519 ◽  
pp. 012041
Author(s):  
Wiwik Sulistiyowati ◽  
Danang Tri Handoko ◽  
Hana Catur Wahyuni
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Control Method ◽  
Root Cause Analysis ◽  
Statistical Process ◽  
Cause Analysis ◽  
Root Cause

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 Estimating the Time to Benefit for Preventive Drugs with the Statistical Process Control Method: An Example with Alendronate

Drugs & Aging ◽  
2016 ◽  
Vol 33 (5) ◽  
pp. 347-353 ◽  
Author(s):  
Esther M. M. van de Glind ◽  
Hanna C. Willems ◽  
Saeid Eslami ◽  
Ameen Abu-Hanna ◽  
Willem F. Lems ◽  
...  
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Control Method ◽  
Statistical Process

scholarly journals ANALISIS KUALITAS PRODUK MENGGUNAKAN METODE STATISTIC PROCESS CONTROL (SPC) MINITAB DAN TIME-CHARTING DI PT. COCA-COLA BOTTLING INDONESIA UNIT LAMPUNG

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Joko Saryono ◽  
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Control Method ◽  
Production Data ◽  
Statistical Process ◽  
Research Results ◽  
Statistic Process Control ◽  
Gas Volume ◽  
A Company

Abstract PT. COCA-COLA BOTTLING INDONESIA is a company engaged in the field of Agro-industry is bottling soft drinks and not sparkling. The products produced are Coca-Cola, Sprite, Fanta, and Tea. To be able to compete with similar industries then the company implements quality control by Statistical Process Control method. In the development of this SPC many methods there are manual or who use the software. Currently PT. Coca-Cola Bottling Indonesia in quality control using Time Charting method, but since the transition from Minitab to Time Charting the tendency of the value of capability below standard, whereas production data is almost the same as using Minitab. The purpose of this research is to analyze the inequality of Statistical Process Control between Minitab 13 and Time Charting. Time Charting method is a new method that is given by the headquarters for the process of quality control can be fast and accurate. Quality control with the Statistical Process Control of Minitab and Time Charting methods after the results of the research results was found to be part of different LSL and USL charging, and Calculate Statistic Using different from Minitab method should still be 6 but in written procedure 3. For writing LSL And USL if the Time Charting is determined by the head office while Minitab analysts fill in based on experiments on the decrease of gas volume marketed in previous years. From the research results obtained Cpk data for Minitab method 13 is Sprite 390 ml 1.47, Sprite 1000 ml 1.90 and Sprite 1500 ml 1.38. The result of the research was using Minitab method and the Charting Time of Capacity that is above 1.33 average. The causes of the resulting inequality of both methods are the LSL, USL and Calculate Statistic Using values. The smaller the value of Calculate Statistic Using the higher Cpk produced. Keywords: Production, Statistical Process Control, Quality.

scholarly journals Fertilizer deposition as a function of angular velocity and inclination of the helical dosing mechanism

2022 ◽  
Vol 26 (3) ◽  
pp. 226-235
Author(s):  
Gabriel G. Zimmermann ◽  
Samir P. Jasper ◽  
Daniel Savi ◽  
Leonardo L. Kmiecik ◽  
Lauro Strapasson Neto ◽  
...  
Keyword(s):  
Angular Velocity ◽  
Process Control ◽  
Statistical Process Control ◽  
Industrial Process ◽  
Descriptive Statistics ◽  
Flow Data ◽  
Statistical Process ◽  
Flow Rates ◽  
Angular Velocities

ABSTRACT The establishment of grain crops in Brazil is an important industrial process in the agricultural chain, requiring the correct deposition of granular fertilizer over the sowing furrow and more efficient, precise, and sustainable assessments in the operation, which can be achieved with the statistical process control. This study aimed to assess the effect of the angular velocity on different inclinations of the helical metering mechanism on the granular fertilizer deposition. An automated electronic bench was used to assess the deposition quality of granular fertilizers considering different angular velocities (1.11, 1.94, and 2.77 m s-1) and longitudinal and transverse inclinations (+15, +7.5, 0, −7.5, and −15°), with the helical doser by overflow. Flow data were collected and submitted to descriptive statistics and statistical process control. The metering mechanism showed expected variations, with acceptable performance under process control. The values of the flow rates of the granular fertilizer increased as velocity increased, standing out longitudinal inclinations of +7.5 and +15°, providing higher fertilizer depositions.

scholarly journals KONSEP DAN TEKNIK MANAIEMEN MUTU TERPADU

2017 ◽  
pp. 94-101
Author(s):  
Saut Pruba
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Continuous Improvement ◽  
Six Sigma ◽  
Employee Empowerment ◽  
Just In Time ◽  
Statistical Process

Quality is a term that has diflferent meanings to different people. Quality set out in this paper are the features and characteristics of the total of a product or service associated with its ability to satisfij the needs of the visible or disguised. The quality of the environment requires an establishment of TQM because quality can not be examined only in a product. In this paper also discussed the concept of the seven TQM: continuous improvement, Six Sigma, employee empowerment, benchmarking, just in time, the concept of Taguchi TQM techniques and knowledge. TQM is the seventh technique check sheet, scatter diagrams, cause-effect diagrams, Pareto charts, flow charts, histograms, and statistical process control.

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