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

Scheduling Tool for Agricultural Operations of Bashkir-Agroinvest

Development of agricultural operations simulation-based planning model for Bashkir-Agroinvest LLC. The model uses multiple heuristics to generate schedule of operations considering multiple constraints such as limited time windows, dependencies between operations, limited number of equipment units, etc. The model also estimates the number of external resources to be rented to meet the operations deadlines.
Period: August 2016 – May 2017
Industry sector: Agriculture
Client / Partenr: Bashkir-Agroinvest / Ernst & Young

Estimation of Heavy Trucks Fleet Size for Alrosa

Simulating the transportation of diamond ore from open-pit mine to AC Alrosa’s processing plant. The model considers many factors such as road pavement quality, slopes and location of trucks stop and overtaking points, etc. The model was used to determine the number of trucks required depending on model of truck, speed and average availability factor of a truck.
Period: August 2016 – September 2016
Industry sector: Mining
Client / Partner: Alrosa / Ernst & Young

Using Simulation for Inbound Transportation Planning for Amur Gas Processing Plant

Development and visualization on the geographical map of simulation model which captures a material delivery logistic scheme for the construction works on one of the world’s largest natural gas processing plant.
Period: June 2016 – July 2016
Industry sector: Oil and Gas
Client/ Partner: Gazprom Neft / BRIGHT Group

Integrated Inventory Optimization Tool for Uralkali

Development of simulation model for productive reserves planning material consumption on warehouses. Client – Uralkali, one of the world’s largest potash producers.
Period: December 2015 – December 2016
Industry sector: Mining
Client / Partner: Uralkali

Mining Simulation Tool to Support Planning and Operational Improvements in 6 Mines of Norilsk Nickel

Development and implementation of simulation-based integrated decision support tool for underground nickel ore mining operations for Norilsk Nickel, the world’s largest nickel producer. The simulation was integrated into Client’s IT landscape and is used for yearly planning.
Period: October 2015 – August 2016
Industry sector: Mining
Client / Partner: Norilsk nickel / HETNET Consulting

Inventory Management Simulation Based on Theory of Constraints for Microsoft

Development of simulation model to support changing of stock and time buffer management policies throughout the global supply chain of electronic devices. The model captured the supply chain from tier 2 suppliers of components to shelves of retail stores in more than 30 countries.
Period: September 2015 – February 2016
Industry sector: Electronics
Client / Partner: Microsoft / Goldratt Research Labs

Logistics Network Planning for Gazpromneft

Development of simulation-based tool for analysis of supply network development options for a remote oil oilfield. The model considered 4 modes of transportation supply materials for all periods of oilfield lifecycle.
Period: August 2015 – January 2016
Industry sector: Oil and Gas
Client / Partner: Gazpromneft / BRIGHT Group

Internal Transportations Optimization Supported by Simulation Model for Evraz

Creating a simulation model to assess the initiatives of internal logistics optimization. Using the simulation to compare the internal logistic network design options for EVRAZ, one of top-3 metallurgical holdings in Russia.
Period: May 2015 – October 2015
Industry sector: Mining
Client / Partner: EVRAZ / BearingPoint

Contact us

Send us a message and we will contact you at the first convenience