Metallurgy

Simulation Based Scheduling Tool for Decision Support at Copper Plant

Development of simulation model for:
• estimation of practically reachable production volume of Copper plant,
• estimation of effects of operational improvements.
Period: January 2018 – February 2019
Industry sector: Metallurgy
Client / Partner: Norilsk nickel

Analysis of Electrical Steel Plant Configurations for Tata Steel Cogent

Development of dynamic simulation model of Cogent Orb Electrical Steels plant. The purpose of the model is to evaluate effect of upgrading critical processing centers. The model is also used to study operational and financial indicators of the plant considering high volatility of processing quality (yield losses, variable non-prime yield, etc.).
Period: February 2017 – February 2018
Industry sector: Metallurgy
Client / Partner: Tata Steel / Goldratt Research Labs

Using Simulation to Improve Profitability and Supply Reliability of Tata Steel UK Integrated Supply Chain

Development of dynamic supply chain simulation model for Tata Steel UK (2 plants, 28 production centers including 3 casters, 49 external warehouses). The model embraces production scheduling, WIP and finished products inventory management as well as transportation by rail and sea. The model is used to identify system bottlenecks for different demand profiles. Another purpose of the model is to develop, test and evaluate algorithms of prioritizing production and customer orders.
Period: February 2017 – February 2018
Industry sector: Metallurgy
Client / Partner: Tata Steel / Goldratt Research Labs