Analisis Kecacatan Plastik Menggunakan Statistical Process Control (Studi Kasus Pada Pt. Xyz)

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Rosnani Ginting ◽  
Kartini Putri
Keyword(s):  
Process Control ◽  
Product Quality ◽  
Statistical Process Control ◽  
Scatter Diagram ◽  
Statistical Process ◽  
Fishbone Diagram ◽  
Control Department ◽  
Quality Check ◽  
Make To Stock ◽  
Quality Control Department

PT. XYZ adalah perusahaan manufaktur yang menjalankan perusahaan mereka dengan memproduksi plastik. Produksi hanya akan berjalan jika konsumen membuat permintaan atau permintaan itu atau biasanya kita menyebutnya dengan syarat stok. Secara umum, perusahaan ini telah melakukan pengecekan kualitas terhadap kualitas produk. Dan kualitas produk ini diperiksa oleh jaminan kualitas dan departemen kontrol kualitas. Namun, terkadang beberapa cacat masih ditemukan pada produk tersebut. Tujuan dari penelitian ini adalah untuk menganalisis jumlah dan jenis cacat serta mencari solusi bagaimana menguranginya. Dengan ini, kami berharap kualitas produk akan tetap stabil dan keuntungan perusahaan akan meningkat. Metode yang digunakan adalah Statistical Process Control (SPC). SPC adalah alat yang digunakan untuk menganalisis cacat dalam suatu masalah. Alatalat dalam Kontrol Proses Statistik adalah stratifikasi, lembar periksa, histogram, diagram kontrol, diagram sebar, diagram pareto dan diagram tulang ikan.   PT. XYZ is a manufactur company that run their company by produce plastic. Production will only going if the consument make demand or request of it or usually we called it by make to stock term. Generally, this company has done the quality check to the product quality. And this product quality check by quality assurance and quality control department. However, sometimes some defect is still be found in that product. The objective of this research is to analyze the amount and the type of the defect and also find the solution how to reduce it. With this, we hope that product quality will keep stable and company’s profit will increase. The method that being used is Statistical Process Control (SPC). SPC is a tool that be used to analyze the defect in a problem. The tools in Statistical Process Control are stratification, check sheet, histogram, control chart, scatter diagram, pareto diagram and fishbone diagram.

scholarly journals Analisis Pengendalian Kualitas Kain Oxford Lebar (TR30/TR16 124 44 62) Menggunakan Software R dengan Metode Statistical Process Control pada Produksi Line 1 (Studi Kasus: PT Sari Warna Asli Unit 1, Karanganyar)

2021 ◽  
Vol 1 (1) ◽  
pp. 24-31
Author(s):  
Windi Tri Jayanti ◽  
Indah Pratiwi
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Statistical Process ◽  
Fishbone Diagram

PT Sari Warna Asli Unit 1 adalah sebuah perusahaan tekstil unit finishing yang merupakan salah satu unit perusahaan PT Sari Warna Asli Group. Produk dari perusahaan dipasarkan tidak hanya lokal namun juga mancanegara sehingga perusahaan membuat produk dalam skala besar. Dalam proses produksi, perusahaan tidak jarang mengalami masalah kecacatan produk yang jumlahnya sangat besar. Kecacatan produk menyebabkan nilai jual dari perusahaan menurun dan terjadi keterlambatan pengiriman karena produk cacat memerlukan proses ulang untuk perbaikan. Penelitian ini dilakukan untuk mengetahui jenis kecacatan produk yang paling dominan menggunakan diagram pareto dan mengetahui apakah jenis kecacatan dominan tersebut terkendali atau tidak menggunakan peta kendali p software R sehingga dapat dianalisis penyebabnya menggunakan fishbone diagram dan diberikan usulan perbaikan untuk meminimalisir jumlah kecacatan tersebut. Metode yang digunakan yaitu pengendalian kualitas dengan Statistical Process Control (SPC). Berdasarkan hasil penelitian, jenis kecacatan produk kain oxford kontruksi TR30/TR16 124 44 62 bulan Juli 2021 yang paling dominan yaitu flek obat sebesar 1361 yard atau sebanyak 25%. Dari peta kendali atribut p, diketahui bahwa jenis kecacatan flek obat tidak terkendali. Setelah dianalisis akar masalah menggunakan fishbone diagram, diketahui faktor-faktor penyebab dari flek obat yaitu tenaga kerja, metode, lingkungan kerja, bahan baku (grey) dan mesin.

scholarly journals Management of Uncertainty by Statistical Process Control and a Genetic Tuned Fuzzy System

2016 ◽  
Vol 2016 ◽  
pp. 1-11
Author(s):  
Stephan Birle ◽  
Mohamed Ahmed Hussein ◽  
Thomas Becker
Keyword(s):  
Fuzzy Logic ◽  
Process Control ◽  
Product Quality ◽  
Statistical Process Control ◽  
Fuzzy Controller ◽  
Performance Criteria ◽  
Growth Trajectory ◽  
Control Performance ◽  
Statistical Process ◽  
Control Error

In food industry, bioprocesses like fermentation often are a crucial part of the manufacturing process and decisive for the final product quality. In general, they are characterized by highly nonlinear dynamics and uncertainties that make it difficult to control these processes by the use of traditional control techniques. In this context, fuzzy logic controllers offer quite a straightforward way to control processes that are affected by nonlinear behavior and uncertain process knowledge. However, in order to maintain process safety and product quality it is necessary to specify the controller performance and to tune the controller parameters. In this work, an approach is presented to establish an intelligent control system for oxidoreductive yeast propagation as a representative process biased by the aforementioned uncertainties. The presented approach is based on statistical process control and fuzzy logic feedback control. As the cognitive uncertainty among different experts about the limits that define the control performance as still acceptable may differ a lot, a data-driven design method is performed. Based upon a historic data pool statistical process corridors are derived for the controller inputs control error and change in control error. This approach follows the hypothesis that if the control performance criteria stay within predefined statistical boundaries, the final process state meets the required quality definition. In order to keep the process on its optimal growth trajectory (model based reference trajectory) a fuzzy logic controller is used that alternates the process temperature. Additionally, in order to stay within the process corridors, a genetic algorithm was applied to tune the input and output fuzzy sets of a preliminarily parameterized fuzzy controller. The presented experimental results show that the genetic tuned fuzzy controller is able to keep the process within its allowed limits. The average absolute error to the reference growth trajectory is 5.2 × 106 cells/mL. The controller proves its robustness to keep the process on the desired growth profile.

scholarly journals STATISTICAL PROCESS CONTROL (SPC) UNTUK PENGENDALIAN KUALITAS PRODUK MEBEL DI UD. IHTIAR JAYA

2020 ◽  
Vol 6 (1) ◽  
pp. 50
Author(s):  
RICKI ELYAS ◽  
WIWIK HANDAYANI
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Control Chart ◽  
Control Method ◽  
Statistical Process ◽  
Dominant Type ◽  
Fishbone Diagram ◽  
Teak Wood ◽  
Product Defect

ABSTRACT The influence of globalization in the industrial world today has led to intense and competitive competition between companies. UD. Ihtiar Jaya is a manufacturing company engaged in furniture, especially those made from teak wood. The company serves retail product sales, as well as servicing or renovating various types of furniture. To be able to produce good quality, quality control activities are carried out. This research aims to determine the number of defective furniture products and the most dominant type of defects at UD. Ihtiar Jaya, to analyze the implementation of quality control at UD. Jaya Jaya uses Statistical Process Control in an effort to reduce the number of defective products, and to identify what factors cause damage/defects in products manufactured by UD. Ihtiar Jaya.In this research, the sample used was the number of defects in furniture products at UD. Ihtiar Jaya in 2018. The technique of determining this sample uses purposive sampling. This research uses the Statistical Process Control method, namely check sheet, pareto diagram, control chart, and fishbone diagram.Based on the results of the check sheet, it was concluded that the average product defect was 10.38% per month. From the results of the Pareto diagram can be seen that the highest level of defects is scratched with a total of 104 units or 61.18% of the total defective products in 2018. While the results of the control chart that have been made can be seen that the quality control is not controlled and not in accordance with standards. From the results of fishbone diagram concluded that the factors that cause product defects are human factors, production machinery, materials, work methods, and work environment.

scholarly journals Pengendalian Mutu

2018 ◽  
Author(s):  
nita nabawiyah ◽  
Onik Adi_Dimas Kurniawan
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Product Quality ◽  
Statistical Process Control ◽  
Control Analysis ◽  
Statistical Process ◽  
Business World ◽  
Main Factors ◽  
Quality Of Products

Competition in the increasingly tight business world today encourages companies to improve the quality of their products. KFC is one of the trading companies that sell chicken, KFC keep trying to improve product quality by pressing the number of defective products. Efforts to maintain and improve the quality of products produced by Statistical Process Control analysis tools. This study aims to analyze whether the quality control of products in KFC is still at the limit of tolerance or not. The main factors of the most dominant damage seen from the causal diagram ie from humans, machines and working methods. The most dominant product damage is charred, and the texture of hard chickens is thus expected to improve the quality of KFC Yogyakarta again and do this routine maintenance machine to keep the product quality to stay good. Keywords: Quality Control, Statistical Process Control

scholarly journals PROCESS CAPABILITY IMPROVEMENT BY PUTTING ‘STATISTICAL PROCESS CONTROL’ INTO PRACTICE

2013 ◽  
pp. 251-256
Author(s):  
PIYUSH KUMAR SONI ◽  
IMTIYAZ KHAN ◽  
ABHISHEK ROHILLA
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Product Quality ◽  
Statistical Process Control ◽  
Manufacturing Process ◽  
Process Capability ◽  
Statistical Process ◽  
Quality Of Products ◽  
Capability Improvement

Quality control helps industries in improvement of its product quality and productivity. Statistical Process Control (SPC) is one of the tools to control the quality of products that practice in bringing a manufacturing process under control. In this paper, the process control of a CNC Grinder manufactured at PMT Machines Ltd. Halol, (Gujarat) India is discussed. The varying measurements have been recorded for a number of samples of a Cam Roller Shoe obtained from a number of trials with the CNC Grinder. SPC technique has been adopted, by which the process is finally brought under control and process capability is improved.

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