Logistic and Transportation

Operational Planning and Scheduling of Logistics for Offshore Arctic Drilling Platforms Supported by Simulation

Operational planning of logistics for offshore arctic drilling platforms supported by simulation.
Period: October 2018 – May 2019
Industry sector: Oil and Gas
Client / Partner: Gazprom Neft / BRIGHT Group

Simulation of Cargo Rail Terminal for Irkutsk Oil Company

Simulation of multimodal (rail + truck) cargo terminal servicing a group of petrochemical plants of Irkutsk Oil Company in Ust-Kut, Eastern Siberia. The model was used to estimate throughput of the terminal with various number of rail tracks, locos and cranes. The terminal handles simultaneous inbound and outbound material flows which leads to multiple interactive constraints and makes simulation the only effective tool for «what-if» analysis.
Period: August 2018 – May 2019
Industry sector: Oil and Gas
Client / Partner: Irkutsk Oil Company (INK) / BRIGHT Group

Supply Chain Simulation to Test Theory of Constraints Implementation for Cargil

Development of edible oils supply chain simulation model for Cargill. The model embraced sourcing, production, components and finished goods inventory managements as well as distribution of edible oils across North America. The model was used to optimize production batching policies and to test and verify inventory management algorithms. The simulation has interactive visualization of inventory and production dynamics that allowed users to faster analyze the complex interdependencies of the supply chain.
Period: August 2017 – February 2018
Industry sector: Agriculture
Client / Partner: Cargill / 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

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

Simulation of Multi-Echelon Logistics Network for Gazpromneft-Angara

Quantitative estimation and comparison of supply network design options for oil extraction facilities in Siberia developed by Gazpromneft. Using the simulation to select the best strategy of logistic network deployment.
Period: January 2015 – October 2015
Industry sector: Oil and Gas
Client / Partner: Gazpromneft-Angara / BRIGHT Group

Offshore Oil Platforms Supply Planning for Gazpromneft-Sakhalin

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

Internal Logistic Infrastructure Planning for Phosagro Apatit

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

Logistics Network Planning for Diageo

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 Network Development Options for Russian Post

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