Open AccessMultiagent Models for Forecasting and Identifying Production Processes
Author(s) -
E. Nazoykin,
Ivan Germanovich Blagoveshchensky
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l3831.1081219
Subject(s) - computer science , production (economics) , parametric statistics , multi agent system , product (mathematics) , quality (philosophy) , parametric model , artificial intelligence , industrial engineering , machine learning , engineering , mathematics , philosophy , statistics , geometry , epistemology , economics , macroeconomics
The article is devoted to the method for creating multiagent models for forecasting and identifying production processes using a structural parametric approach. Using multiagent simulation allows reflecting the state and dynamics of complex active systems of production processes with analysis and forecasting of the quality of the finished product. The methods and algorithms of the structural parametric approach to the implementation of an agent-based simulation model based on the system self-diagnosis are described