
Identification of Complex Production Systems with Using Iterative Networks
Author(s) -
Korneev A.M,
Abdullakh L.S,
Sukhanov A.B,
. Antar,
Silva S. K. B. D,
Al-jonid Kh.M
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.5.15197
Subject(s) - identification (biology) , production (economics) , automaton , process (computing) , computer science , product (mathematics) , iterative and incremental development , industrial engineering , cellular automaton , algorithm , theoretical computer science , engineering , mathematics , software engineering , botany , geometry , biology , economics , macroeconomics , operating system
In the article the technique of identification of complex production systems using iterative networks is considered. The identification process begins with the allocation of functional blocks, which can later be described by automata working with discrete information and changing internal states only at specified times. The basic laws of the functioning of the selected subsystems are simulated. Characteristics of cells formed parameters associated with multi-step manufacturing process. As the semi-finished product passes through the processing stages under consideration, the values of the technological factors being realized are fixed in the system being formed.