Estimation of Production Time by Regression and Neural Networks

Ćosić, Predrag and Lisjak, Dragutin and Antolić, Dražen (2011) Estimation of Production Time by Regression and Neural Networks. = Estimation of Production Time by Regression and Neural Networks. In: 3rdInternational Scientific Conference, Management of Technology - Step to Sustainable Production MOTSP2011, 8.-10. lipnja 2011., Bol, otok Brač, Hrvatska.

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Abstract

The estimation of production times will be the necessary future basis for cost estimation, cost reduction or TCE (Total Cost Estimation). 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 estimation 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: Conference or Workshop Item (Lecture)
Keywords (Croatian): stepwise multiple linear regression, group technology, knowledge base, production time, neural networks, TCE
Subjects: TECHNICAL SCIENCE > Mechanical Engineering
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: No
Indexed in Current Contents: No
Date Deposited: 28 Jun 2016 14:19
Last Modified: 09 Jan 2018 14:24
URI: http://repozitorij.fsb.hr/id/eprint/5982

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