Under China's new development philosophy, CO 2 emissions forecasting is becoming more
and more crucial for attaining carbon peaking and carbon neutrality targets. In light of this …

Digital twin (DT) technology provides a novel, feasible, and clear implementation path for the
realization of smart manufacturing and cyber-physical systems (CPS). Currently, DT is …

The fractional order grey models have appealed considerable interest of research in recent
years due to its high effectiveness and flexibility in time series forecasting. However, the …

A modified grey prediction model is employed to accurately forecast China's overall and
industrial electricity consumption. To this end, a novel optimized grey prediction model …

To solve the problems of strong uncertainty, dynamics, and high complexity during the
operation process in a discrete manufacturing shop floor that produces a variety of variable …

The assembly process of aerospace products such as satellites and rockets has the
characteristics of single-or small-batch production, a long development period, high …

This research aims to provide a solution to the scarcity and fragmentation of industrial data
on die casting aluminum alloys. Quantifying the coupling between die casting process …

Purpose Sustainable manufacturing facilitates the development of products with lower
environmental impact. Additive manufacturing (AM) processes are incorporated with …

Effective determination of trends in sulfur dioxide emissions facilitates national efforts to draft
an appropriate policy that aims to lower sulfur dioxide emissions, which is essential for …

Bu çalışmada GVMCT ile ifade edilen ve gri Verhulst modeline sabit terimin eklenmesi ile
oluşturulan model üzerine çalışılmıştır. Bu modele ilişkin diferansiyel denklem çözülerek gri …