Implementation of Model Based Optimization of Product Quality Parameters in Dairy Processes

1994 ◽  
pp. 42-47
Author(s):  
Joost van der Linden
Keyword(s):  
Product Quality ◽  
Quality Parameters ◽  
Model Based

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.

Model-Based Quality Control System for Error Reduction in the Thermoforming Process

2019 ◽  
Vol 809 ◽  
pp. 598-603 ◽  
Author(s):  
Richard Vocke ◽  
Johannes Stempin ◽  
Patrick Schiebel ◽  
Axel Herrmann ◽  
Andreas Fischer
Keyword(s):  
Quality Control ◽  
Control System ◽  
Process Model ◽  
Control Variable ◽  
Experimental Tests ◽  
Quality Parameters ◽  
Tool Temperature ◽  
Reinforced Plastics ◽  
Model Based ◽  
Thermoforming Process

Model-based quality control has the potential to reduce the reject rate in the production of fiber-reinforced plastics (FRP) components. After all the cross-market establishment of FRP, undesirable quality deviations often occur with new materials or component shapes. The quality control uses the component quality (e.g. component angle, crystallinity, fiber orientation, pore content) as the control variable. As a key component of the control, a process model is developed to link the process parameters (press pressure, press duration and tool temperature) with the quality parameters. Knowledge of the process-determining cause-effect relationships is necessary to ensure that different quality parameters are in the target value at the same time. Based on experimental tests, these interrelationships are determined using methods of statistical test planning and serve as the basis for model-based quality control. As a result, it has been shown that the targeted control of the component angle is possible in a range of about ±1° by using the control parameters, tool temperature and pressure, which have a significant influence on the quality. In the next step, further quality characteristics are included in the control system in order to demonstrate the ability to control the quality of complex component specifications. Model-based quality control is particularly promising for the reduction of the process run-in phase and thus for the reduction of the reject rate.

Model Based do Control for Product Quality Improvement in Aerobic Fermentations

1996 ◽  
Vol 29 (1) ◽  
pp. 6732-6737
Author(s):  
Ioannis G. Sargantanis ◽  
Sergio Valentinotti ◽  
M.N. Karim
Keyword(s):  
Quality Improvement ◽  
Product Quality ◽  
Model Based ◽  
Do Control ◽  
Product Quality Improvement

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.

Cam_Gate System in Product Quality Control, Optimal Selection of Inspecting-Sorting Automatic Machines

2013 ◽  
Vol 198 ◽  
pp. 445-450
Author(s):  
Krzysztof Łasiński
Keyword(s):  
Quality Control ◽  
Product Quality ◽  
Ccd Camera ◽  
Quality Parameters ◽  
System Structure ◽  
Optimal Selection ◽  
Product Quality Control ◽  
Factors Affecting ◽  
Dimensional Parameters ◽  
Selection Of

The paper addresses the possibilities of applying the cam_gate system to product quality control. Particular attention is paid to the concept of the test stand simulating the operation of the product quality control automatic machine with the use of the CCD camera. Dimensional parameters of rollers were measured by means of a micrometer screw and the CCD camera at the simulation stand in the cam_gate system and the results of measurements were compared. The paper presents the cost system structure of an enterprises and factors affecting the selection of inspecting-sorting automatic machines in the aspect of the prescribed quality parameters which condition the optimal selection.

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