Application of Man–Machine System Analysis in the Process Control of Nuclear Fuel Manufacturing

Author(s):  
Xiaolin Gu ◽  
Shibo Wang
2016 ◽  
Vol 2 (2) ◽  
pp. 114-118
Author(s):  
A.G. Kalashnikov ◽  
A.L. Moseev ◽  
V.M. Dekusar ◽  
V.V. Korobeynikov ◽  
P.A. Moseev

2015 ◽  
Vol 637 ◽  
pp. 7-11 ◽  
Author(s):  
Magdalena Diering ◽  
Adam Hamrol ◽  
Agnieszka Kujawińska

The paper presents new procedure of methodology for statistical assessment of measurement systems variation (methodology known in the literature as Measurement Systems Analysis, MSA). This procedure allows for calculation and monitoring in real time (that is on-line) of measurement system (MS) characteristics which determine its usability for manufacturing process control. The presented solution pointed out the gap in process control, which consists in lack of methods for monitoring measurement processes in the on-line way. Their key point consists of taking samples that are also needed for the process control chart for the needs of the MSA method. This means that the samples are taken directly from the production line and during the production process. The method is combined with the standard procedure of statistical process control (SPC) with the use of process control charts. It is based on two control charts. The first one is called AD-chart (Average Difference chart) and it allows to estimate the variation between the operators and stability of the monitored measurement system. The second control chart illustrates the %R&R index (Repeatability and Reproducibility) and allows to monitor the MS capability.The paper also presents authors’ proposal of guidelines about the reference value for the %R&R index calculation and assessment. Recommendations and guidelines for choosing the reference value are based on two criteria: information about sample and manufacturing process variation and the purpose of using MS (product or process control).


2020 ◽  
Vol 196 (5) ◽  
pp. 93-102
Author(s):  
Aslan Kulov ◽  
Irina Velikanova

Abstract. The main goal of our research is to consider the main economic factors that prevent the introduction of advanced technologies and to justify the need to change the state's approaches to supporting investment processes for the formation of advanced machine systems in flax industry, including on the basis of automation and digitalization of process management. Methods. In the work, based on the using of a wide range of analytical methods for studying economic phenomena in the flax growing industry, the using of computational-constructive and abstract-logical methods, using computational-constructive and abstract-logical methods, system analysis, recommendations were developed for the implementation of state support measures focused primarily on the complex system of machines in agriculture, independently of the financial and economic condition of economic entities. Results. The article shows that the complex mechanization of flax production is hindered both by the remaining insufficient level of financial and economic opportunities of commodity producers, and by the imperfection of state support. According to the analysis of data from the electronic information-analytical system testfirm.ru, it was revealed that only 34 % of the flax producers examined in 2018 were profitable, whose revenue exceeded 10 million rubles. It was revealed that the limited ability to update the main links and elements of the machine system leads to significant economic losses during the cultivation of flax, due to non-compliance with the execution of technological operations in the optimal time. Scientific novelty. The article presents the idea of the need, based on the recommendations of the Ministry of Agriculture of the Russian Federation and the Russian Center for Agricultural Consulting on the formation and use of specialized resource-saving technologies for cultivating flax for fiber and seeds, to expand the scope of government support measures for flax-growing farms not only to financially sustainable enterprises. The article substantiates the general need for investments for the use of advanced machine systems in the combined technology of cultivation, harvesting and primary processing of flax in the amount of more than 114 million rubles per 1000 hectares of sown area of flax.


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