Improving product quality in pulp mill using statistical process control (SPC)

2002 ◽  
Author(s):  
T. Ho ◽  
C. Henriksson
Keyword(s):  
Process Control ◽  
Product Quality ◽  
Statistical Process Control ◽  
Pulp Mill ◽  
Statistical Process

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 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 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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