Open AccessMethodology for ensuring sustainable automatic control of the manufacturing process of manufacturing electronics using the fuzzy logic apparatus
Author(s) -
A. A. Petrushevskaya,
Н. А. Алешкин
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1399/2/022015
Subject(s) - electronics , fuzzy logic , process (computing) , manufacturing engineering , computer science , quality (philosophy) , control (management) , engineering , reliability engineering , control engineering , industrial engineering , artificial intelligence , electrical engineering , philosophy , epistemology , operating system
The production equipment on which the electronics products are manufactured has stringent requirements for controlling the conformity of physical characteristics, such as thickness, depth, width, and others, to standard values. It is necessary to formalize the task of evaluating the current state vector of product characteristics to ensure real adequacy in the generation of control action and the implementation of a process control strategy close to optimal. The article discusses the process control process for manufacturing electronics by introducing means of inter-machine intellectual interaction and a self-learning multi-parameter fuzzy classifier. Based on the developed procedure, a real assessment of the current state of the controlled characteristics of the object and adequate control of disturbing influences will be provided. The formulated technology is designed to provide an improvement in the quality of transients and to preventively eliminate the risk of defective products, and, consequently, to positively affect the effectiveness of the manufacturing process of electronics manufacturing.