Control model of technological operations of mounting automatic printed circuit boards based on a multiparameter fuzzy classifier

In the context of creating digital production, ensuring the concept of continuous support for the product life cycle and the use of big data management systems contributes to the creation of a permanent relationship between all computer-aided design systems implemented at the enterprise. The purpose...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of physics. Conference series Jg. 1333; H. 4; S. 42026 - 42031
1. Verfasser: Petrushevskaya, A A
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bristol IOP Publishing 01.10.2019
Schlagworte:
Big Data
CAD
Circuit boards
Classifiers
Computer aided design
Data management
Fuzzy logic
Integer programming
Management systems
Mixed integer
Physics
Printed circuit boards
Printed circuits
Product life cycle
ISSN:1742-6588, 1742-6596
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In the context of creating digital production, ensuring the concept of continuous support for the product life cycle and the use of big data management systems contributes to the creation of a permanent relationship between all computer-aided design systems implemented at the enterprise. The purpose of the article is to develop a procedure for ensuring the quality of electronic products based on the introduction of intelligent equipment for automatic installation of printed circuit boards based on a multiparameter self-learning fuzzy classifier. To solve the problems of interfacing big data management systems and modern computer-aided design systems, it is proposed to apply the methods of discrete linear or mixed integer programming. Application of logical operations will allow one to simulate the production process in more detail and predict possible disturbances with maximum accuracy.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1333/4/042026