Please use this identifier to cite or link to this item:
http://elar.urfu.ru/handle/10995/118068
Title: | Possibilities of information technologies application to production problems solving by math modeling methods |
Authors: | Gruzman, V. M. |
Issue Date: | 2020 |
Publisher: | IOP Publishing Ltd |
Citation: | Gruzman V. M. Possibilities of information technologies application to production problems solving by math modeling methods / V. M. Gruzman // IOP Conference Series: Materials Science and Engineering. — 2020. — Vol. 966. — Iss. 1. — 12130. |
Abstract: | Nowadays there exist a great number of program packages, allowing solution of common tasks of automation of the math modeling. Industries with their specific features may demand particular approaches to solving their problems. Modern information technologies allow development of a special application software for processing a specific task in such cases. The article suggests a description of a general architecture concept of the application software, which can automate tasks of the math modeling to solve different issues related to the industrial production. It describes a detailed algorithm of data processing in such a product using the capabilities of the information technologies. The capabilities of such an application software are shown in the example of preliminary draft model design of large pouring ladle stopper durability. The results that have been achieved with the help of the extemporized model allow making a conclusion that a model that has been built by the same techniques based on an annual scope of collected information will make it possible to get reliable answers for the tasks of production management. © Published under licence by IOP Publishing Ltd. |
URI: | http://elar.urfu.ru/handle/10995/118068 |
Access: | info:eu-repo/semantics/openAccess |
Conference name: | 15th International Conference on Industrial Manufacturing and Metallurgy, ICIMM 2020 |
Conference date: | 18 June 2020 through 19 June 2020 |
SCOPUS ID: | 85097102265 |
PURE ID: | 20233054 |
ISSN: | 17578981 |
DOI: | 10.1088/1757-899X/966/1/012130 |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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