Identification and assessment of regression models of the learning curve for automotive manufacturing
- Authors: Pavlov O.V.1
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Affiliations:
- Samara National Research University
- Issue: Vol 11, No 4 (2020)
- Pages: 107-117
- Section: MATHEMATICAL AND INSTRUMENTAL METHODS OF ECONOMICS
- URL: https://journals.ssau.ru/eco/article/view/8288
- DOI: https://doi.org/10.18287/2542-0461-2020-11-4-107-117
- ID: 8288
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Abstract
The problem of identification and assessment of the reliability of regression models of the learning curve for the automotive industry is considered. For regression analysis, four learning curve models of a given type are used: Wright's, Stanford-B, Deyong's, and exponential. The parameters of the learning curve models are determined using a nonlinear least squares method. The estimation of the significance and reliability of the regression models is carried out. It is shown that the models of learning curves in the automotive industry are well approximated by the Stanford-B power function.
About the authors
Oleg V. Pavlov
Samara National Research University
Author for correspondence.
Email: pavlov@ssau.ru
Сandidate of Technical sciences, associate professor of the Department of General and Operations Management
Russian Federation, 34, Moskovskoye shosse, SamaraReferences
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