Optimizing Supply Chain Scheduling in Steel Mills: An Algorithm Leveraging Digital Twin Technology

This paper presents a heuristic algorithm developed within a digital twin system to optimize scheduling in a complex steelmaking plant. The digital twin provides insights and anticipates bottlenecks, contributing to efficient scheduling. The algorithm addresses non-linear constraints arising from technical, technological and financial limitations, ensuring a customized approach to production planning. The optimized scheduling aims to enhance steel production, minimize delays and maximize resource allocation within the supply chain. By leveraging mathematical optimization and digital twin technology, this innovative solution achieved significant gains in a real steel mill, increasing monthly production 1% without the need for infrastructure investment.

Pedro Campos | ENACOM
 

Fabricio Schiavon Kolberg | ENACOM
 

Matheus Faria | ENACOM
 

Matheus Mendonça | ENACOM
 

Geraldo Duarte | Gerdau
 

Milton Pires | Gerdau
 

Wilian Santos | Gerdau
 

Luiz Notini | Gerdau
 

Bruno Alvares | Gerdau
 

Bruno Breder | Gerdau