Development and implementation of simulation-based integrated decision support tool for underground potash mining operations of Uralkali, one of the world’s largest potash producers.
Period: May 2014 – November 2014
Industry sector: Mining
Client / Partner: Uralkali

Development of simulation model to support decisions in strategic planning of logistics for offshore arctic drilling platforms. Client – Gazpromneft, the second largest Russian oil and gas company.
Period: December 2013 – May 2014
Industry sector: Oil and Gas
Client / Partner: Gazpromneft – Sakhalin / BRIGHT Group

Calculation of replenishment planning attributes for automobile assembly parts at assembly line. Assessment of impact of planning inaccuracy to the required safety stock of assembly parts. Client – OJSC KAMAZ, the biggest Russian trucks manufacturer.
Period: November 2013 – May 2014
Industry sector: Manufacturing
Client / Partner: KAMAZ / BearingPoint

We developed a simulation to support quantitative evaluation of internal logistic network development scenarios. The main challenges captured by the simulation were efficiency of trucks routing policies and sharing personnel between different locations. Client – Phosagro holding company, one of Russia’s leading mineral resources company.
Period: July 2013 – November 2013
Industry sector: Mining
Client / Partner: Kirovsk branch of Apatit (Phosagro holding company) / LFA Rus

Development of low-level simulation model of underground potash mining operations. The model was used to determine bottlenecks of existing processes and also to prove suggested improvements in underground mining operations for Uralkali, one of the world’s largest potash producer.
Period: May 2013 – September 2013
Industry sector: Mining
Client / Partner: Uralkali / Ernst & Young

Assessment of logistic network configurations for the expanded network of customers. We were also asked to show and prove the ways to decrease logistic costs by improving of inventory management. The model was used to evaluate the systemic effect of increasing forecast accuracy. Our client – Diageo – one of top-3 alcoholic distributors in Russia.
Period: January 2013 – July 2013
Industry sector: Wholesale and Retail
Client / Partner: Diageo / LFA Rus

Scenario analysis of automated sorting centers (ASCs) network development options for Russian Post. The network consisted of 45 000 delivery points, up to 15 ASCc. 50 scenarios of ASCs network development were evaluated with simulation model.
Period: October 2011 – February 2012
Industry sector: Logistic and Transportation
Client / Partner: Russian Pos / Ernst & Young