An Artificial Neural Networks Approach to Product Cost Estimation. The Case Study for Electric Motor

• Autorzy: Zbigniew Leszczyński , Tomasz Jasiński

Warianty tytułu

Sztuczne sieci neuronowe w prognozowaniu kosztów produktu. Studium przypadku dla silnika elektrycznego

• Języki publikacji: EN

Abstrakty

EN

The aim of this paper is to present, in theoretical and application terms, artificial neural networks (ANNs) as a method of estimating the product cost. The first part of the article reviews the methods used to estimate the product cost. The basic approaches to the problem of product cost estimation, presented by various authors, were described. In the second part an empirical study using artificial neural networks was conducted. Two research methods were used in this paper: literature analysis and empirical research carried out in the form of an extensive case study. The test object is a new generation induction motor. The main research problem of the article is the modelling of artificial neural networks for the estimation process of product costs with advanced production technology. The test procedures focus on the application aspects. The conclusions discuss the usefulness and advantages of using ANN models in estimating the costs of products.(original abstract)

Celem artykułu jest zaprezentowanie, w aspekcie teoretycznym i aplikacyjnym, sztucznych sieci neuronowych (ANN) jako metody prognozowania kosztu produktu. W pierwszej części artykułu dokonano przeglądu metod prognozowania kosztu produktu. Przedstawiono podstawowe podejścia do problemu prognozowania kosztu produktu prezentowane przez różnych autorów. W drugiej części artykułu przeprowadzono badanie empiryczne z wykorzystaniem sztucznych sieci neuronowych. W artykule zastosowano dwie metod badawcze: analizę literatury oraz badania empiryczne zrealizowane w formie rozbudowanego studium przypadku. Obiektem badań jest silnik indukcyjny nowej generacji. Zasadniczy problem badawczy artykułu to modelowanie sztucznych sieci neuronowych dla procesu prognozowania kosztu produktów o zaawansowanej technologii produkcji. Punkt ciężkości procedur badawczych koncentruje się na aspektach aplikacyjnych. We wnioskach omówiono użyteczność i zalety stosowania modeli ANN w prognozowaniu kosztów produktów.(abstrakt oryginalny)

Słowa kluczowe

EN

Forecasting; Costs; Artificial neural networks (ANN)

PL

Prognozowanie; Koszty; Sztuczne sieci neuronowe (SSN)

• Czasopismo: Informatyka Ekonomiczna / Uniwersytet Ekonomiczny we Wrocławiu
• Rocznik: 2018
• Numer: nr 1 (47)
• Strony: 72--84

Twórcy

autor

Zbigniew Leszczyński

• Lodz University of Technology, Poland

autor

Tomasz Jasiński

• Lodz University of Technology, Poland

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Identyfikatory

DOI

10.15611/ie.2018.1.06