scholarly journals Integrated approach to the development of the effectiveness function of quality control of metal products

2017 ◽  
Vol 6 (3 (90)) ◽  
pp. 26-34
Author(s):  
Iegor Dymko ◽  
Arsen Muradian ◽  
Yevgeny Leheza ◽  
Andrii Manzhula ◽  
Oleksandr Rudkovskyi
Author(s):  
Jianqin Ma ◽  
Ke Ren ◽  
Chen Xue ◽  
Pan Fang ◽  
Le Wang ◽  
...  

2020 ◽  
pp. 59-61
Author(s):  
N. F. Mainikova ◽  
A. Yu. Gorbunova ◽  
N. K. Kalinina ◽  
K. A. Yakovleva

Modern thermal control systems equipped with computers, are able to solve a variety of tasks in product quality control. On the example of experimental data obtained during the research of thin-layer polymer coatings on metal bases, the methodological capabilities of the non-destructive method and the measuring system of thermal control are shown.


2012 ◽  
Vol 3 (2) ◽  
pp. 259-262 ◽  
Author(s):  
Meenakshi Sharma ◽  
Gurleen Kaur

Quality control is an important issue in the ceramic tile industry. Price of ceramic tiles also depends on purity of texture, accuracy of color, shape etc. Considering this criteria, an integrated  defect detection and classification technique has been proposed which plays an important role in ceramic tiles industries to detect the defects and to control the quality of ceramic tiles.GLCM extracts the  texture features and these features  together with color features are used for analysis in classifiers such as SVM, KNN and Bayesian. Experimental results illustrated that  every classifier gives highest accuracy with HSV.


2016 ◽  
Vol 33 (7) ◽  
pp. 1030-1059 ◽  
Author(s):  
Pravin P Tambe ◽  
Makarand S Kulkarni

Purpose – The traditional practice for maintenance, quality control and production scheduling is to plan independently irrespective of an interrelationship exist between them. The purpose of this paper is to develop an approach for integrating maintenance, quality control and production scheduling. The objective is to investigate the benefits of the integrated effect in terms of the expected total cost of system operation of the three functions. Design/methodology/approach – The proposed approach is based on the conditional reliability of the components. Cost model for integrating selective maintenance, quality control using sampling-based procedure and production scheduling is developed using the conditional reliability. An integrated approach is such that, first an optimal schedule for the batches to be processed is obtained independently while the maintenance and quality control decisions are optimized considering the optimal schedule on the machine. The expected total cost of conventional approach, i.e. “No integration” is calculated to compare the effectiveness of integrated approach. Findings – The integrated approach have shown a higher cost saving as compared to the independent planning approach. The approach is practical to implement as the results are obtained in a reasonable computational time. Practical implications – The approach presented in this paper is generic and can be applied at planned as well as unplanned opportunities. The proposed integrated approach is dynamic in nature, as during maintenance opportunities, it is possible to optimize the decision on maintenance, quality control and production scheduling considering the current age of components and production requirement. Originality/value – The originality of the paper is in the approach for integration of the three elements of shop floor operations that are usually treated separately and rarely touched upon by researchers in the literature.


2018 ◽  
Vol 28 (4) ◽  
pp. 93-100
Author(s):  
M. G. Mustafaev

Improvement of the quality of production processes organization, shift to a new engineering level and effective use of products are associated with the improvement of production and the development of organizational processes quality control system. The purpose of the paper is to study the methods and means that allow increasing the performance of the implementation and organization of production processes for the development of radio-electronic instrument making products, as well as their improvement. It is possible to increase production efficiency and quality of manufactured products, in particular, by ensuring the processes stability, reducing the dispersion of production parameters, timely detecting deviations of production processes and eliminating their causes. This can be achieved through the use of methods for organizing inter-operation statistical analysis, control and regulation of processes using cause-and-effect analysis of product parameters relationship, which allow establishing the statistical relationship of their parameters with the modes of the production process and patterns of product parameters distribution depending on processing factors. The analysis of converters production processes was carried out and the cause-and-effect diagram was drawn up taking into account the main factors affecting the quality and percentage of usable products yield. Structure of the analysis system for monitoring production processes and its algorithm are given. The paper shows the dependence of the filming process quality on films parameters in the form of a cause-and-effect graph, as well as products manufacture progress diagram, which demonstrates the reproducibility and stability of the converters production processes. An integrated approach to the implementation of production processes, taking into account special aspects of the technology, connection of instrument parameters with processing factors, organization processes quality control, allows reducing the dispersion of product parameters, improving process stability and overall production efficiency.


2019 ◽  
Vol 30 (2-3) ◽  
pp. 225-238 ◽  
Author(s):  
Tobias Arndt ◽  
Mukesh Kumar ◽  
Gisela Lanza ◽  
Manoj Kumar Tiwari

2019 ◽  
Author(s):  
Joan Ramon Coll ◽  
Gerard van der Schrier ◽  
Enric Aguilar ◽  
Dubravka Rasol ◽  
Roberto Coscarelli ◽  
...  

Abstract. In the framework of the project Integrated approach for the development across Europe of user oriented climate indicators for GFCS high-priority sectors: agriculture, disaster risk reduction, energy, health, water and tourism (INDECIS 2017–2020), around 610K climate station-based observations were rescued over European regions for the main climate variables (maximum and minimum temperature, rainfall, sunshine duration and snow depth) along the 20th century at daily scale. Rescued data will constitute, together with other gathered regional datasets, the INDECIS-Raw-Dataset, which will expand current European data coverage contained in the European Climate Assessment & Dataset (ECA&D). An extensive examination of the ECA&D dataset was conducted to find spatial-temporal data gaps or stations with low percentage of daily data as prior candidates for data recovery in European regions. This exercise led us to focus our efforts on the Central European region and the Balkans. Digitizing was carried out by using a rigorous key as you see method, meaning that the digitizers type the values provided by data images, rather than using any coding system. Digitizers carefully cross-checked the typed values against original sources for the 10th, 20th and 30th day of each month to make sure that no days were skipped or repeated during the digitizing process. Monthly totals and statistical summaries were computed from transcribed data and were compared with monthly totals and summaries provided by data sources to check accuracy as preliminary quality control. The digitizing method and the quality control of the digitizing process applied in this study ensured an accurate data transcription according to the obtained statistics. The daily dataset rescued in this study across Europe is available at: https://doi.pangaea.de/10.1594/PANGAEA.896957


2019 ◽  
Author(s):  
Tarek M. El-Achkar ◽  
Michael T. Eadon ◽  
Rajasree Menon ◽  
Blue B. Lake ◽  
Tara K. Sigdel ◽  
...  

AbstractComprehensive and spatially mapped molecular atlases of organs at a cellular level are a critical resource to gain insights into pathogenic mechanisms and personalized therapies for diseases. The Kidney Precision Medicine Project (KPMP) is an endeavor to generate 3-dimensional (3D) molecular atlases of healthy and diseased kidney biopsies using multiple state-of-the-art OMICS and imaging technologies across several institutions. Obtaining rigorous and reproducible results from disparate methods and at different sites to interrogate biomolecules at a single cell level or in 3D space is a significant challenge that can be a futile exercise if not well controlled. We describe a “follow the tissue” pipeline for generating a reliable and authentic single cell/region 3D molecular atlas of human adult kidney. Our approach emphasizes quality assurance, quality control, validation and harmonization across different OMICS and imaging technologies from sample procurement, processing, storage, shipping to data generation, analysis and sharing. We established benchmarks for quality control, rigor, reproducibility and feasibility across multiple technologies through a pilot experiment using common source tissue that was processed and analyzed at different institutions and different technologies. A peer review system was established to critically review quality control measures and the reproducibility of data generated by each technology before being approved to interrogate clinical biopsy specimens. The process established economizes the use of valuable biopsy tissue for multi-OMICS and imaging analysis with stringent quality control to ensure rigor and reproducibility of results and serves as a model for precision medicine projects across laboratories, institutions and consortia.


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