In the automotive industry, cost estimation of components to be purchased plays an
important role for price negotiations with suppliers and, therefore, for cost control within the …

Engineering design shows a growing interest in exploring cost analysis to anticipate
manufacturing issues and integrate production aspects within the product development …

In today's complex supply networks sharing information between buyers and suppliers is
critical for sustainable competitive advantage. In particular, for both business partners, cost …

This study aims to provide price predictions for automotive steel materials using machine
learning (ML) methods to develop purchasing strategies with business theories. The primary …

Early cost estimation is a decisive value driver in the product development process in
manufacturing industries. Machine learning offers new intelligent methods to support …

In today's market where many companies are competing for the same opportunities, a quick,
accurate, and reliable estimation of the offers' prices is essential for the suppliers. This …

Purpose Cost transparency is of central importance to reach a consensus between supply
chain partners. The purpose of this paper is to contribute to the instrument of cost analysis …

At the conceptual design stage, the cross-sectional shapes of thin-walled beams (TWBs)
need to be optimized to improve the performance of automobile structure. Therefore, this …

Nowadays application of neural networks in the manufacturing field is widely assessed even
if this type of problem is typically characterized by an insufficient availability of data for a …

Earned value management (EVM) is a well-known technique for measuring project
performance and progress. Owing to the EVM's attitude to simultaneously combine cost and …