Study on Quality Control Method in Multi-Specification and Small-Batch Production

2014 ◽  
Vol 1006-1007 ◽  
pp. 363-366
Author(s):  
Hai Dong ◽  
Qing Quan Tong ◽  
Yi Kai Wang

Aiming at the problem of less quality characteristics data in multi-specification and small-batch production, matter-element theory was applied to adjust similarity of factors affecting the quality during the processing, thus similar processes was divided and data shortage problem was resolved. In addition, the relative range method was applied to translate characteristics data, thus drawing the control chart to judge process control state.Through the analysis of a case,the validity of quality control method was verified in the multi-specification and small-batch production.

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


2020 ◽  
Vol 6 (1) ◽  
pp. 50
Author(s):  
RICKI ELYAS ◽  
WIWIK HANDAYANI

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.


Polymers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 340
Author(s):  
Elisa Chiodi ◽  
Francesco Damin ◽  
Laura Sola ◽  
Lucia Ferraro ◽  
Dario Brambilla ◽  
...  

The manufacture of a very high-quality microarray support is essential for the adoption of this assay format in clinical routine. In fact, poorly surface-bound probes can affect the diagnostic sensitivity or, in worst cases, lead to false negative results. Here we report on a reliable and easy quality control method for the evaluation of spotted probe properties in a microarray test, based on the Interferometric Reflectance Imaging Sensor (IRIS) system, a high-resolution label free technique able to evaluate the variation of the mass bound to a surface. In particular, we demonstrated that the IRIS analysis of microarray chips immediately after probe immobilization can detect the absence of probes, which recognizably causes a lack of signal when performing a test, with clinical relevance, using fluorescence detection. Moreover, the use of the IRIS technique allowed also to determine the optimal concentration of the probe, that has to be immobilized on the surface, to maximize the target recognition, thus the signal, but to avoid crowding effects. Finally, through this preliminary quality inspection it is possible to highlight differences in the immobilization chemistries. In particular, we have compared NHS ester versus click chemistry reactions using two different surface coatings, demonstrating that, in the diagnostic case used as an example (colorectal cancer) a higher probe density does not reflect a higher binding signal, probably because of a crowding effect.


2013 ◽  
Vol 141 (2) ◽  
pp. 798-808 ◽  
Author(s):  
Zhifang Xu ◽  
Yi Wang ◽  
Guangzhou Fan

Abstract The relatively smooth terrain embedded in the numerical model creates an elevation difference against the actual terrain, which in turn makes the quality control of 2-m temperature difficult when forecast or analysis fields are utilized in the process. In this paper, a two-stage quality control method is proposed to address the quality control of 2-m temperature, using biweight means and a progressive EOF analysis. The study is made to improve the quality control of the observed 2-m temperature collected by China and its neighboring areas, based on the 6-h T639 analysis from December 2009 to February 2010. Results show that the proposed two-stage quality control method can secure the needed quality control better, compared with a regular EOF quality control process. The new method is, in particular, able to remove the data that are dotted with consecutive errors but showing small fluctuations. Meanwhile, compared with the lapse rate of temperature method, the biweight mean method is able to remove the systematic bias generated by the model. It turns out that such methods make the distributions of observation increments (the difference between observation and background) more Gaussian-like, which ensures the data quality after the quality control.


Sign in / Sign up

Export Citation Format

Share Document