For better work performance, production efficiency, and product quality!

Refractories ◽  
1977 ◽  
Vol 18 (3-4) ◽  
pp. 190-192
Keyword(s):  
Product Quality ◽  
Work Performance ◽  
Production Efficiency

scholarly journals System Quality Management of the Industry Enterprise (on the Example of Separate Production)

2019 ◽  
Vol 9 (2) ◽  
pp. 5143-5147
Keyword(s):  
Quality Management ◽  
Product Quality ◽  
Production Efficiency ◽  
Quality Management System ◽  
Polished Glass ◽  
Practical Significance ◽  
Necessary Condition ◽  
System Quality ◽  
Expert Assessments ◽  
Object Of Study

Increase of production efficiency through generalization of design practices of integrated product quality management of the industry is a necessary condition for sustainable development of domestic production. The purpose of the study is to assess the existing system of quality management of the enterprise on the example of a separate business unit and identify directions to increase its effectiveness. Object of study — Production Association of Software (Polished Glass) JSC AGС “Borsky Glass Factory”. The subject of study is an integrated quality management system. Research methods — method of economic analysis, and method of expert assessments. A practical significance of the work lies in the possibility of using the results to control non-conforming products in the process of industrial production. These studies allow to draw conclusions about the effectiveness of the technology used for product quality management and production processes of the industry enterprise on the example of a separate production.

scholarly journals Key Intelligent Technology of Steel Strip Production through Process

Metals ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. 597 ◽  
Author(s):  
Jie Sun ◽  
Wen Peng ◽  
Jingguo Ding ◽  
Xu Li ◽  
Dianhua Zhang
Keyword(s):  
Product Quality ◽  
Production Efficiency ◽  
Dynamic Scheduling ◽  
Steel Strip ◽  
Quality Parameters ◽  
Process Quality ◽  
System Level ◽  
Control Technology ◽  
Process Coordination ◽  
Strip Production

Because of the complexity of procedure interface and working conditions, the further improvement of steel strip quality and production efficiency is limited. Realizing the optimization of product quality and production process in multi-process, system-level through intelligent key technology is one of the strategic directions in steel strip production. (1) Collaborative intelligent optimization and dynamic scheduling technology for steel manufacturing supply chain oriented to customized production, reducing the cost of raw material purchase and production operations and improving production efficiency and precision service ability; (2) Online monitoring, diagnosis and optimization technology of product quality. Getting through the process information flow of product, the correlation analysis of process quality parameters, the tracing of quality anomalies, the reverse optimization of process parameters and the optimization of process route will be realized; (3) Multi-process coordination optimization and quality control based on CPS architecture. The precise control technology of process quality parameters will be developed; the structure of multi-process coordination optimization system is established and optimization of key quality parameters in the through process will be realized; and (4) Microstructure and mechanical property optimization and surface quality intelligent control technology in the hot strip rolling process. Intelligent prediction of microstructure and mechanical properties, rapid dynamic design and steel grade merging technology will be formed and green process design technology of oxide scale will be developed.

The Use of X-Ray Emission Spectrography for Petroleum Product Quality and Process Control

1962 ◽  
Vol 6 ◽  
pp. 396-402
Author(s):  
J. L. Caley
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Product Quality ◽  
Production Efficiency ◽  
Petroleum Refinery ◽  
Control Laboratory ◽  
Product Quality Control ◽  
X Ray ◽  
Elapsed Time ◽  
Refinery Production

AbstractA Norelco Autrometer (automatic multielement X-ray spectrograph) is being used by a petroleum refinery control laboratory for process control and product quality control. As many as 100 analyses covering 13 elements are run per day. Concentrations range from a few ppm to 25%.The instrument has reduced the elapsed time for many analyses from 8 hr to 5 min, made possible in many cases greater accuracy than previously used wetchemical methods, reduced laboratory manpower and increased refinery production efficiency in many instances.

The Research of Industrial Robots Design Based on Synchronous Technology

2012 ◽  
Vol 233 ◽  
pp. 347-350 ◽  
Author(s):  
Xue Jun Wang ◽  
Yi Lin Chi ◽  
Fu Yu Li ◽  
Li Gao ◽  
Yong Xin Peng
Keyword(s):  
Product Quality ◽  
Degrees Of Freedom ◽  
Production Efficiency ◽  
Industrial Robots ◽  
Product Modeling ◽  
Technical Application ◽  
Automatic Production ◽  
Design Efficiency ◽  
Modeling Technology ◽  
Design Error

Industrial robots are widely applied in all kinds of automatic production line. It is the most important members in the family of robots. To improve the product quality and the precision of the robots, in addition to control strictly the production techniques and monitor its manufacturing process, the most important is to improve the design level and the design efficiency. In this paper, a new type of automatic four degrees of freedom industrial robots will be studied by using Solid Edge ST4 3 d synchronous modeling technology. In the process of design, synchronous modeling, parallel design, cooperative modeling technique and Top-down Assembly Modeling technology are combined with during the design. The whole product modeling design has included module and subsystem, has accomplished chassis module, and turn arm module and grab module design. The key point in this paper is that synchronous modeling technology is used in the three dimensional modeling the design application, and shows that the technology in different modules and the union between different designers. The results show that all the technical application above can improve the design efficiency, reduce design error and design iterative process, thus greatly improve the product quality and production efficiency

Design and Development of Quality Information System for Electronic Ballast Based on Parameter Testing

2011 ◽  
Vol 314-316 ◽  
pp. 2419-2424
Author(s):  
Xi Yong Zou ◽  
Bin Rui Wang ◽  
Qi Hu ◽  
Wei Kang Lu
Keyword(s):  
Decision Making ◽  
Information System ◽  
Product Quality ◽  
Production Efficiency ◽  
Quality Information ◽  
Performance Parameters ◽  
Important Process ◽  
Manual Operation ◽  
Computer Controlled ◽  
E Mail

Parameter testing is the most important process during ballast production, only the products whose parameters conformed to the standard could be passed to the next procedure. A quality information system was designed to replace the manual operation. Based on the computer controlled auto-test facilities, the information system recorded the performance parameters of the ballasts in real time, the statistics of product quality such as the fail ratio was performed periodically. When the fail ratio exceeds the set thresholds, an alarming e-mail will be sent automatically to the related managers and designers. The adoption of database makes history data searched and reviewed conveniently, and the statistics provide a powerful tool for analysis and decision-making. Application of the system have shortened the time for defects statistics and evaluation, and helped to improve the production efficiency and product quality.

scholarly journals Steel Surface Defect Diagnostics Using Deep Convolutional Neural Network and Class Activation Map

2019 ◽  
Vol 9 (24) ◽  
pp. 5449 ◽  
Author(s):  
Soo Young Lee ◽  
Bayu Adhi Tama ◽  
Seok Jun Moon ◽  
Seungchul Lee
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Product Quality ◽  
Real Time ◽  
Steel Surface ◽  
Production Efficiency ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Diagnostic Model ◽  
Defect Diagnostics

Steel defect diagnostics is considerably important for a steel-manufacturing industry as it is strongly related to the product quality and production efficiency. Product quality control suffers from a real-time diagnostic capability since it is less-automatic and is not reliable in detecting steel surface defects. In this study, we propose a relatively new approach for diagnosing steel defects using a deep structured neural network, e.g., convolutional neural network (CNN) with class activation maps. Rather than using a simple deep learning algorithm for the classification task, we extend the CNN diagnostic model for being used to analyze the localized defect regions within the images to support a real-time visual decision-making process. Based on the experimental results, the proposed approach achieves a near-perfect detection performance at 99.44% and 0.99 concerning the accuracy and F-1 score metric, respectively. The results are better than other shallow machine learning algorithms, i.e., support vector machine and logistic regression under the same validation technique.

Design of Automatic Buckle Machine for Double Bag Packaging Line

2014 ◽  
Vol 889-890 ◽  
pp. 303-308
Author(s):  
Yuan Chao Deng ◽  
Min Yu ◽  
Hua Chen
Keyword(s):  
Product Quality ◽  
Production Efficiency ◽  
Machine Design ◽  
Labor Intensity ◽  
Line Processes ◽  
Filling Line

Double bag packaging line which is widely used in packing line is a packing type. There are traditional double bag packaging line and automatic packaging line. Among them, the automated packaging line processes include: On the bag, filling, bayonet, seaming, transporting, stacking and other processes. However, bayonet is an essential process in packaging line. The design of automatic buckle machine plays a key role in reducing labor intensity, improving production efficiency of filling line and ensuring product quality. This paper conducts a discussion and analysis in depth on automatic bayonet machine design.

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