
Automation of information entropy assessment process for large production systems and their components
Author(s) -
Y. V. Polishchuk,
Roman Chumakov
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/862/5/052016
Subject(s) - automation , computer science , entropy (arrow of time) , information system , entropy production , data mining , systems engineering , engineering , mechanical engineering , physics , electrical engineering , quantum mechanics , statistical physics
In the framework of this work, an assessment method is considered and an application is proposed that implements the ability to calculate information entropy for large production systems. The importance of informational entropy for large production systems and their components allows a group of decision-makers to assess the prospect of generating managerial decisions from the perspective of completeness of knowledge about the state of the system based on available factual data.