scholarly journals The Production Quality Control Process, Enhanced with Augmented Reality Glasses and the New Generation Computing Support System

2020 ◽  
Vol 176 ◽  
pp. 3618-3625
Author(s):  
Andrzej Szajna ◽  
Roman Stryjski ◽  
Waldemar Woźniak ◽  
Norbert Chamier-Gliszczyński ◽  
Tomasz Królikowski
Keyword(s):  
Quality Control ◽  
Augmented Reality ◽  
Support System ◽  
Control Process ◽  
Production Quality ◽  
Production Quality Control ◽  
Generation Computing ◽  
Quality Control Process ◽  
Computing Support ◽  
New Generation

scholarly journals Blockchain in manufacturing quality control: A computer simulation study

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247925
Author(s):  
Pooi-Mun Wong ◽  
Shreya R. K. Sinha ◽  
Chee-Kong Chui
Keyword(s):  
Quality Control ◽  
Data Security ◽  
Control Process ◽  
Production Quality ◽  
Consensus Algorithm ◽  
Defect Tolerance ◽  
Production Quality Control ◽  
Peer Supervision ◽  
Quality Control Process ◽  
Quality Controller

Blockchain has been applied to quality control in manufacturing, but the problems of false defect detections and lack of data transparency remain. This paper proposes a framework, Blockchain Quality Controller (BCQC), to overcome these limitations while fortifying data security. BCQC utilizes blockchain and Internet-of-Things to form a peer-to-peer supervision network. This paper also proposes a consensus algorithm, Quality Defect Tolerance (QDT), to adopt blockchain for during-production quality control. Simulation results show that BCQC enhances data security and improves defect detections. Although the time taken for the quality control process increases with the number of nodes in blockchain, the application of QDT allows multiple inspections on a workpiece to be consolidated at a faster pace, effectively speeding up the entire quality control process. The BCQC and QDT can improve the quality of parts produced for mass personalization manufacturing.

scholarly journals SIX SIGMA SEBAGAI ALAT PENGENDALIAN MUTU PADA HASIL PRODUKSI KAIN MENTAH PT UNITEX, TBK

2019 ◽  
Vol 14 (1) ◽  
pp. 43
Author(s):  
Prima Fithri
Keyword(s):  
Quality Control ◽  
Six Sigma ◽  
Textile Industry ◽  
Control Process ◽  
Production Quality ◽  
Production Quality Control ◽  
Quality Control Process ◽  
The Usa ◽  
Machine Parts ◽  
And Control

PT Unitex merupakan perusahaan manufaktur yang bergerak di industri tekstil yang mengolah kapas menjadi kain jadi. Departemen tenun adalah salah satu departemen di PT Unitex, yang memproses benang menjadi kain mentah. Seringnya terjadi permasalahan terhadap pengendalian mutu yang tidak mencapai target di Departemen Tenun, menyebabkan peningkatan waktu pemrosesan produk untuk memperbaiki produk yang cacat juga akan berdampak pada jumlah produksi. Untuk itu penelitian dilakukan dengan mengidentifikasi dan menganalisis proses pengendalian mutu untuk mengetahui faktor utama penyebab terjadinya produk cacat sehingga didapatkan ususlan untuk mengurangi jumlah produk cacat pada hasil produksi. Metode yang digunakan dalam penelitian ini adalah Metode Six Sigma, dengan langkah-langkah Define, Measure, Analyze, Improve, and Control (DMAIC). Berdasarkan hasil perhitungan, didapatkan nilai Defect per Million Opportunity yang diperoleh adalah sebesar 181.67 dan nilai Sigma sebesar 5.07. Dengan nilai sigma sebesar 5.07 berarti Departmen Tenun telah mencapai tingkat industri rata-rata USA. Tapi masih ada cacat yang terjadi dari satu juta peluang. Untuk memaksimalkan kontrol kualitas, rekomendasinya adalah untuk memperkuat pengawasan kepada operator, memprioritaskan pemeriksaan mesin, dan menekankan ketersediaan suku cadang mesin, terutama yang rentan terhadap kerusakan.AbstractPT Unitex is a manufacturing company engaged in the textile industry. Processing carried out at PT Unitex is processing cotton into finished cloth. The Weaving Department is one of the departments at PT Unitex, which processes yarn into raw fabrics. The most frequent and most noticed problem in the Weaving Department is the quality control problem that often does not reach the target. In addition, this also causes an increase in product processing time to repair defective products which will also have an impact on the amount of production. For this reason, this research is carried out by identifying and analyzing the quality control process to determine the main factors causing the occurrence of defective products so that will reduce the number of defective products in the production. The method used in this study is the Six Sigma Method, with steps Define, Measure, Analyze, Improve, and Control (DMAIC). As soon as the calculation is done, the Defect per Million Opportunity (DPMO) value obtained is 181.67 and the Sigma value is 5.07. With a sigma value of 5.07, Weaving Department has reached the average industry level of the USA. But there are still defects that occur from one million opportunities. To maximize quality control, the recommendations are to strengthen supervision of operators, prioritize inspection of machinery, and emphasize the availability of machine parts, especially those that are vulnerable to damage.Keywords: DPMO; Six Sigma; Production; Quality Control; Weaving Department

scholarly journals Improving the Production Quality Processes at Bread SMEs in Jakarta

2021 ◽  
Vol 4 (1) ◽  
pp. 10-15
Author(s):  
Fuji Rahayu ◽  
Desribeth Palullungan ◽  
Tasya Regina
Keyword(s):  
Quality Control ◽  
Consumer Demand ◽  
Small And Medium Enterprises ◽  
Control Process ◽  
Production Quality ◽  
Consumption Pattern ◽  
Production Quality Control ◽  
Work Effectiveness ◽  
Quality Control Process ◽  
Medium Enterprises

The consumption pattern of the people in Indonesia is experiencing a shift. Consumption patterns that are influenced by socio-cultural factors today make people tend to consume food and drinks that are practical and easy to obtain. This pattern began in 2014 until now, making the percentage of food consumption increase by 2.5% per year. Bread is a finished food whose demand pattern has also increased. Due to the development of the middle-class population, an increase in the income of young people, and society's consumption pattern, which is increasingly shifting to a practical urban consumption pattern. The bread industry in Indonesia is still classified as the small and medium enterprises (SME) sector. Small and medium enterprises (SME) is a business sector with a significant impact on improving the economy in developing countries. The products are distributed to offices that work with bakeries and are sold in stores. This shows that the shop production must work quickly to meet consumer demand in the surrounding area. In fulfilling consumer demand, a production quality control process is required in the workstation to reduce defective products. This study aims to carry out a quality control process to reduce faulty products by using a control chart and the concept of kaizen to control and maintain the production process in bread SMEs so that quality and work effectiveness can be realized.

scholarly journals QUALITY CONTROL OF TROBOS LIVESTOCK MAGAZINE PRODUCTION AT PT AKSARA GRAFIKA PRATAMA

KREATOR ◽  
2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Gema Sukmawati Suryadi ◽  
Antinah Latif ◽  
Alfredo .
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Direct Observation ◽  
Control Process ◽  
Production Quality ◽  
Control Limit ◽  
Layered System ◽  
Total Production ◽  
Quality Control Process ◽  
Live Stock

Quality control is an important factor for the industry because continuously control process in production will be able to detect abnormalities results quickly, so that it can be anticipated immediately. This study aims to determine how the quality control process has been implemented, what printing problems often occur, and what activities have been carried out to control the production quality of Trobos Live Stock magazine at PT Aksara Grafika Pratama. This research method is descriptive with direct observation of the production process at PT Aksara Grafika Pratama. Descriptive method has been used by direct observation of the production process at PT Aksara Grafika Pratama. Data analysis was carried out using the p-chart control chart analysis method of the production quantity and misprint of Trobos Live Stock Magazine in January - December 2019. The results showed that the total production of Trobos Live Stock Magazine by PT Aksara Grafika Pratama in 2019 was 225,521 sheets with 7,178 misprints, and the average proportion of damaged products was 0.030. The proportion of damaged production in April and May occupied the highest position, namely 0.045 and 0.049, exceeding the UCL (Upper Control Limit) control limit. However, in the production process the following month the damage to production is within control limits, which indicates that the production department has carried out the maximum evaluation and repair. Misprints that occur in the production process of Trobos Live Stock Magazine include Scumming, Ghosting, and no images or text appearing in certain parts. Quality control activities carried out by PT Aksara Grafika Pratama to reduce the level of damage to production include implementing a layered system such as directly monitoring the production process, always carrying out maintenance on machines and assigning special experts to repair machines, as well as placing experienced workers to minimize possible error rate during the production process.Keywords — Quality Control, Diagrams Control p-chart, Statistical Assistance Tools

scholarly journals Photometric stereo-based high-speed inline battery electrode inspection

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Christian Kapeller ◽  
Ernst Bodenstorfer
Keyword(s):  
Quality Control ◽  
System Architecture ◽  
High Speed ◽  
Shape From Shading ◽  
Production Quality ◽  
Photometric Stereo ◽  
Inspection System ◽  
Coating Materials ◽  
Production Quality Control ◽  
Reconstruction Performance

Abstract Battery technology is a key component in current electric vehicle applications and an important building block for upcoming smart grid technologies. The performance of batteries depends largely on quality control during their production process. Defects introduced in the production of electrodes can lead to degraded performance and, more importantly, to short circuits in final cells, which is highly safety-critical. In this paper, we propose an inspection system architecture that can detect defects, such as missing coating, agglomerates, and pinholes on coated electrodes. Our system is able to acquire valuable production quality control metrics, like surface roughness. By employing photometric stereo techniques, a shape from shading algorithm, our system surmounts difficulties that arise while optically inspecting the black to dark gray battery coating materials. We present in detail the acquisition concept of the proposed system architecture, and analyze its acquisition-, as well as, its surface reconstruction performance in experiments. We carry these out utilizing two different implementations that can operate at a production speed of up to 2000 mm/s at a resolution of 50 µm per pixel. In this work we aim to provide a system architecture that can provide a reliable contribution to ensuring optimal performance of produced battery cells.

Analysis of the information management system in the manufacturing process of cigarette enterprises using fuzzy AHP

2021 ◽  
pp. 1-11
Author(s):  
Song Gang ◽  
Wang Xiaoming ◽  
Wu Junfeng ◽  
Li Shufang ◽  
Liu Zhuowen ◽  
...  
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Information Management ◽  
Manufacturing Process ◽  
Management System ◽  
Fuzzy Ahp ◽  
Control Process ◽  
Information Management System ◽  
Manufacturing Execution System ◽  
Quality Control Process

In view of the production quality management of filter rods in the manufacturing and execution process of cigarette enterprises, this paper analyzes the necessity of implementing the manufacturing execution system (MES) in the production process of filter rods. In this paper, the filter rod quality system of cigarette enterprise based on MES is fully studied, and the constructive information management system demand analysis, cigarette quality control process, system function module design, implementation and test effect are given. This paper utilizes the Fuzzy analytic hierarchy process to find the optimal system for processing the manufacturing of cigarette. The implementation of MSE based filter rod quality information management system for a cigarette enterprise ensures the quality control in the cigarette production process. Through visualization, real-time and dynamic way, the information management of cigarette production is completed, which greatly improves the quality of cigarette enterprise manufacturing process.

Mitocytosis, a migrasome-mediated mitochondrial quality-control process

Cell ◽  
2021 ◽  
Vol 184 (11) ◽  
pp. 2896-2910.e13
Author(s):  
Haifeng Jiao ◽  
Dong Jiang ◽  
Xiaoyu Hu ◽  
Wanqing Du ◽  
Liangliang Ji ◽  
...  
Keyword(s):  
Quality Control ◽  
Control Process ◽  
Mitochondrial Quality Control ◽  
Quality Control Process

scholarly journals A Two-Stage Quality Control Method for 2-m Temperature Observations Using Biweight Means and a Progressive EOF Analysis

2013 ◽  
Vol 141 (2) ◽  
pp. 798-808 ◽  
Author(s):  
Zhifang Xu ◽  
Yi Wang ◽  
Guangzhou Fan
Keyword(s):  
Quality Control ◽  
Control Method ◽  
Control Process ◽  
Lapse Rate ◽  
Systematic Bias ◽  
Eof Analysis ◽  
Two Stage ◽  
Quality Control Method ◽  
Quality Control Process ◽  
The Difference

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.

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