Regresijska analiza i neuronske mreže kao metode za procjenu proizvodnog vremena

Ćosić, Predrag and Lisjak, Dragutin and Antolić, Dražen (2011) Regresijska analiza i neuronske mreže kao metode za procjenu proizvodnog vremena. = Regression analysis and neural networks as methods for production time estimation. Tehnički vjesnik : znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku, 18 (4). pp. 479-484. ISSN 1330-3651. Vrsta rada: ["eprint_fieldopt_article_type_article" not defined]. Kvartili JCR: Q4 (2011). Točan broj autora: 3.

Full text not available from this repository.
Official URL: http://hrcak.srce.hr/index.php?show=clanak&id_clan...

Abstract

An experienced process planner usually makes decisions based on comprehensive data without breaking it down into individual parameters. So, as the first phase it was necessary to establish a technological knowledge base, define features of the 2D drawing (independent variables), possible dependent variables, size and criteria for sample homogenization (principles of group technology) for carrying out analysis of variance and regression analysis. The second phase in the research was to investigate the possibility for easy automatic, direct finding and applying 3D features of an axial symmetric product to the regression model. The third phase in the research was to investigate the possibility for the application of neural networks in production time stimation and to compare the 224 results between the regression models and neural network models. The most important characteristic of our approach presented in this paper is estimation of production times using group technology, regression analysis and neural networks.

Item Type: Article (["eprint_fieldopt_article_type_article" not defined])
Keywords (Croatian): 2D drawing; Dependent variables; Independent variables; Knowledge base; Neural network model; Production time; Regression model; Second phase; Stepwise multiple linear regression; Symmetric product; Technological knowledge; Third phase; Total costs; Estimation; Group technology; Knowledge based systems; Linear regression; Statistics; Three dimensional; Neural networks
Subjects: TECHNICAL SCIENCE
Divisions: 700 Department of Industrial Engineering > 710 Chair of Production Design
700 Department of Industrial Engineering > 720 Chair of Production Control
Indexed in Web of Science: Yes
Indexed in Current Contents: No
Citations JCR: 4 (09.01.2018.)
Quartiles: Q4 (2011)
Citations SCOPUS: 4 (09.01.2018.)
Date Deposited: 24 Apr 2015 08:51
Last Modified: 09 Jan 2018 15:17
URI: http://repozitorij.fsb.hr/id/eprint/3738

Actions (login required)

View Item View Item