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.

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 Directions for Improving the Quality of Products of PJSC «Beer and Non-Alcoholic Plant «Radomyshl»

2020 ◽  
Vol 10 (513) ◽  
pp. 197-203
Author(s):  
O. I. Garafonova ◽  
◽  
I. F. Nechai ◽  
Keyword(s):  
Product Quality ◽  
Product Life Cycle ◽  
Quality Parameters ◽  
Quality Level ◽  
Business Organization ◽  
High Quality ◽  
The World ◽  
Developing Directions ◽  
Quality Of Products

In the world, product quality has long been one of the major instruments for ensuring the economic development of companies. Achieving high quality parameters, in turn, is an important part of the economic strategy of any success-oriented business organization. The article is aimed at developing directions for improving products of PJSC «Beer and Non-Alcoholic Plant «Radomyshl». The object of the research is the quality of beer produced by PJSC «Beer and Non-Alcoholic Plant «Radomyshl». The assessment of the quality level of the selected product in accordance with the requirements of DSTU 3888:2015 was carried out using the following groups of indicators: microbiological, organoleptic and physic-chemical. The process of assessing the product quality parameters is presented, which consists of seven consecutive stages and is carried out throughout the product life cycle. The factors under the influence of which the quality of products are formed and which may cause deviation from the specified quality parameters are analyzed and structured. The defects that appear due to these factors have been identified. The basis for improving the quality of products is primarily a thorough study of changes in demand for the business organization products. Three groups of measures are singled out, with the help of which one can achieve the desired level of product quality, namely: technological, organizational and socio-economic. A complex of priority measures to improve the quality of products of PJSC «Beer and Non-Alcoholic Plant «Radomyshl» is proposed. The element of scientific novelty is the development of an algorithm for the implementation of measures to improve the quality of products. During the implementation of measures to improve the quality, it is necessary to carry out systematic monitoring and generate reports on the implementation of the project in order to make possible an adjustment of the final result.

scholarly journals Inventory control in a two-level supply chain with learning, quality and inspection errors

2021 ◽  
Author(s):  
Mehmood Khan
Keyword(s):  
Supply Chain ◽  
Product Quality ◽  
Inventory Management ◽  
Human Error ◽  
Threshold Value ◽  
Process Quality ◽  
Lot Size ◽  
Defective Items ◽  
Inspection Errors ◽  
Screening Cost

A common measure of quality for a buyer or a vendor is the defect rate. Defects may represent an attribute, a dimension or a quantity. They may be classified as product quality defects or process quality defects. Product quality defects may be caused by human error which can de due to fatigue, lack of proper training, or other reasons. For example, an inspector may misclassify a defective fuel tank of a car as good. On the other hand, process quality defects maybe caused by a machine going out-of-control. While many researchers assume that the screening processes which separate the defective items are error-free, it would be realistic to consider misclassification errors in this process. Beside inspection errors, learning is another human factor that brings in enhancement in the overall performance of a supply chain. Learning is inherent when there are workers involved in a repetitive type of production process. Learning and forgetting are even more important in manufacturing environments that emphasize on flexibility where workers are cross-trained to do different tasks and where products have a short life cycle. Inventory management with learning in quality, inspection and processing time will be the focus of this thesis. A number of models will be developed for a buyer and/or a two level supply chain to incorporate these human factors. The key findings of this work may be summarized as 1. Inspection errors significantly affect the annual profit. 2. An increase in the unit screening cost reduces the annual profit to a great extent at slower rates of learning. 3. For the two-level supply chain we investigated, learning in production drops the annual cost significantly while the learning in supplier's quality results in a situation where there are no defectives from the suppliers. 4. Type II error may seem to be beneficial for a two level supply chain as the order/lot size goes down and thus affects the costs of ordering, production and screening. 5. Consignment stocking policy performs better than conventional stocking when holding costs go higher than a threshold value.

The Study of IOT Architecture for Steel Strip Production Process

2012 ◽  
Vol 572 ◽  
pp. 364-370 ◽  
Author(s):  
Zhi Guo Liang ◽  
Quan Yang ◽  
Ya Dong Wan ◽  
Fei He ◽  
Xiao Chen Wang ◽  
...  
Keyword(s):  
Production Process ◽  
Network Architecture ◽  
Steel Strip ◽  
Steel Production ◽  
Intelligent Manufacturing ◽  
Wireless Sensor ◽  
Initial Stage ◽  
Internet Of Things Technology ◽  
Industrial Wireless Sensor Network ◽  
Strip Production

Nowadays, IOT (Internet of Things) technology for the future intelligent manufacturing is still in its initial stage. In steel production, especially in steel strip production process, the research on how to construct IOT architecture is lack of research. This paper focused on the construction of IOT in steel Strip production process and analyzed the development of the industrial wireless sensor network standards. Based on the requirements of industrial networking monitoring in steel strip production process, this study proposed a feasible IOT network architecture for steel strip production process, which provided the basis for promoting further application of IOT technology in steel flat production process.

Development of automatic coagulant dosage control technology for rapid change of raw water quality parameters

2012 ◽  
Vol 12 (6) ◽  
pp. 918-925 ◽  
Author(s):  
Y. Sangu ◽  
H. Yokoi ◽  
H. Tadokoro ◽  
T. Tachi
Keyword(s):  
Water Quality ◽  
Pilot Scale ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Control Technology ◽  
Raw Water ◽  
Control Logic ◽  
Water Turbidity ◽  
Coagulant Dosage ◽  
Raw Water Quality

An automatic coagulant dosage control technology for water purification plants was developed to deal with rapid changes of raw water quality parameters. Control logic was developed to decide coagulant dosage based on aluminum concentration in rapid mixing tank water based on results of semi-pilot scale experiments. This logic enabled quick feedback on the excess or lack of coagulant. It was found that the aluminum residual rate, which was proposed as an indicator of coagulation reactions, could be given as a function of coagulant dosage and turbidity. The effectiveness of the control logic was verified in semi-pilot scale experiments. Settled water turbidity was within ±0.5 NTU of target value even when raw water turbidity increased rapidly up to 100 NTU.

Special Issue on Measurement Technology for Process and Product Quality Control

2014 ◽  
Vol 8 (1) ◽  
pp. 3-3
Author(s):  
Yasuhiro Takaya ◽  
Tomohiko Maeda
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Product Quality ◽  
Industrial Applications ◽  
Process Quality ◽  
Measurement Technology ◽  
Special Issue ◽  
Production Engineering ◽  
Machining Processes ◽  
Product Quality Control

A broad sense of values, globalization, and ecology is needed in production activities because production processes are becoming rapidly more complex due to demands for downsizing, functionality, quality. This is in addition to cost reduction, shorter lead times, and energy saving in fabrication. Many types of measurement system and large amounts of production information are therefore needed in production engineering. In-process and on-machine measurements are used to evaluate a variety of machining factors and conditions and work done on machine tools. With increasingly complex machining processes and greater needs for accuracy and precision, the demand for advances in process optimization has also grown. This special issue covers manufacturing metrology and quality management as its two main fields of interest, together with their important implications for science, industry, and engineering. This special issue also covers novel in-process and on-machine measurement and sensing and quality management techniques now being widely applied to production engineering, focusing on the important role of measurement in manufacturing technology as it progresses from inspection tools to strategic production tools in managing process quality and product quality control. The advanced papers in this special issue present the latest advancements in these fields, ranging from fundamental research to industrial applications. These reports will thus enable readers to share their experience and knowledge in technology, new development, and potential applications of promising techniques in measurement and in product and process quality control. We thank the authors for their invaluable contributions and the reviewers for their always useful advice, which have helped make this special issue both fascinating and far-reaching.

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