Navigating the complex procurement landscape for essential raw materials like shredder feed, scrap, and ferroalloys is crucial. Our challenge lies in integrating
numerous constraints and nuances to facilitate rapid, informed decision-making.
Demo
Optimized Procurement Strategy
OptiScrap®
Scrap Optimizer. Reducing procurement cost of scrap by optimizing the mix ever month.
Shredder Feedstock Optimizer. Reducing procurement cost of feedstock, increasing throughput and maximizing effective integration with still mill.
Ferroalloy recipe optimizer. Reducing recipe cost for alloying with dynamic recipe optimization driven by market conditions.
OptiShred®
OptiAlloy®
Variability in operations often leads to conservative approaches in maintaining quality margins. This practice can result in higher material costs or increased consumption. Our goal is to refine these processes, balancing quality with cost-effectiveness.
Demo
Managing Operational
Variability
IntelScrap®
Statistical dead-heat. Statistical determination of chemical composition for every individual scrap type live (every 30-50 minutes).
Online bucket mix optimizer. Automatically adjust the mix to maximize the use of inexpensive, low-quality scrap, compensating for quality fluctuations.
Ferroalloy charge quantity optimizer. Minimize ferroalloy usage by precisely calculating alloy needs based on the current conditions of the liquid steel.
IntelMix®
IntelAlloy®
A key challenge is the effective alignment of resources in production scheduling and sales order grouping. Inefficient resource allocation, especially in cases where high-quality materials are used for standard orders, leads to increased costs and suboptimal efficiency.
Demo
Complex Production
and Sales Planning
SmartPlan®
Order to heat matching. Optimize order batching intro heats to minimize situation when order of low-quality is fulfilled with a high-quality product.