Parametric vs. neural network models for the estimation of production costs: A case study in the automotive industry

International Journal of Production Economics

Volumn 91, Issue 2, 2004, Pages 165-177

  Cavalieri, Sergio ^a   Maccarrone, Paolo ^b   Pinto, Roberto ^a  

^a UNIVERSITY OF BERGAMO   (Italy)

^b POLITECNICO DI MILANO   (Italy)

Author keywords

Artificial neural networks; Cost estimation; New product development process; Parametric models; Target costing

Indexed keywords

COMPUTER AIDED LOGIC DESIGN; COMPUTER APPLICATIONS; COSTS; FACTORY AUTOMATION; INDUSTRIAL ECONOMICS; INDUSTRIAL MANAGEMENT; MATHEMATICAL MODELS; OPTIMIZATION; PROCESSING; PRODUCTION ENGINEERING; PRODUCTIVITY;

ARTIFICIAL NEUTRAL NETWORKS (ANN); COST ESTIMATION; NEW PRODUCT DEVELOPMENT (NPD) PROCESS; PARAMETRIC MODELS; TARGET COSTING;

NEURAL NETWORKS;

EID: 4043075477     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2003.08.005     Document Type: Article

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