We have implemented more than 35 successful commercial planning and simulation projects.
Performing calculations to support mine production increase planning, including the determination of the required number of additional mine dump trucks and the assessment of the mining transport system’s capacity. The simulation model created with the MineTwin tool has made it possible to provide reasoned answers to the following questions:
Period: May 2023 — August 2023 Industry: Mining Client / Partner: The world’s largest fluorite ore mine Las Cuevas (Mexico)/ AVA Solutions
Development of the simulation system of the Nizhnekamskneftekhim Consolidated Logistics Complex to:
Period: December 2022 — February 2023 Industry: Logistics and Transportation Client / Partner: Nizhnekamskneftekhim/ KSS Rus
Development of the simulation system of the metallurgical plant for:
Period: June 2022 — November 2022 Industry: Metallurgy Client / Partner: Norilsk nickel
Analysis of alternative schemes for organizing the open pit mine operations for one of open cast iron mines. We used MineTwin to create a detailed simulation model of mine operations that was used to answer the following questions:
Period: March 2022 — April 2022 Industry: Mining Client / Partner: One of the iron ore mines / Piklema
Development of simulation-based tool for:
Period: October 2021 — January 2022 Industry: Oil and gas Client / Partner: Foreign subsidiary of a major oil company/ BRIGHT Group
Determining constraints and equipment fleet configuration for one of the biggest open cast coal mines in Southern Africa. We used MineTwin to create a detailed simulation model of coal mine operations that was used to answer the following questions:
Period: July 2021 — August 2021 Industry: Mining Client / Partner: One of the coal mining companies/ Tomahee, Minfo
Development of operational scheduling system for Sibagro — one of the biggest pork producers. The system is used to perform daily scheduling of 2 pig feed plants and over 100 feed storages. The other use of the system is scenario analysis to support mid-term allocation of feed types to plants, validate CAPEX initiatives, plan major maintenances etc.
Period: July 2020 – December 2020 Industry: Agriculture Client / Partner: Siberian Agricultural Group
Development of operational scheduling system for oil rigs service teams and equipment. The system is used for real-time optimized scheduling and coordination of oil service teams and equipment across oil fields with hundreds of rigs. The objective of scheduling is to provide highest possible service level of rigs maintenance while minimizing equipment travel time. The system considers multiple real-world constraints such as personnel rosters, road pavement quality issues, material supply requirements and others. Client — Gazpromneft, one of the largest oil and gas companies.
Period: June 2020 – December 2020 Industry: Oil and Gas Client / Partner: Gazprom Neft / BRIGHT Group
Operational planning of logistics for offshore arctic drilling platforms supported by simulation.
Period: October 2018 – May 2019 Industry: Oil and Gas Client / Partner: Gazprom Neft / BRIGHT Group
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: Oil and Gas Client / Partner: Irkutsk Oil Company (INK) / BRIGHT Group
Development of continent-wide books supply chain simulation model for MacMillan Publishing House. The objective of the project was to investigate the extent, consequences and causes of surpluses and shortages of their titles within retailers and their own DCs. The model was also used to quantify the potential impact of moving to a Theory of Constraints (TOC) best practice for managing inventory and determining print quantities.
Period: June 2018 – November 2018 Industry: Wholesale and Retail Client / Partner: MacMillan Publishing / Goldratt Research Labs
Development of simulation model for:
Period: January 2018 – February 2019 Industry: Metallurgy Client / Partner: Norilsk nickel
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: Agriculture Client / Partner: Cargill / Goldratt Research Labs
Increasing of simulation adequacy and improvement of the effectiveness of user’s work with the system of mining simulation tool.
Period: May 2017 – December 2018 Industry: Mining Client / Partner: Norilsk nickel
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: Metallurgy Client / Partner: Tata Steel / Goldratt Research Labs
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.
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: Agriculture Client / Partner: Bashkir-Agroinvest / Ernst & Young
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: Mining Client / Partner: Alrosa / Ernst & Young
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: Oil and Gas Client / Partner: Gazprom Neft / BRIGHT Group
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: Mining Client / Partner: Uralkali
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: Mining Client / Partner: Norilsk nickel / HETNET Consulting
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: Electronics Client / Partner: Microsoft / Goldratt Research Labs
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: Oil and Gas Client / Partner: Gazpromneft / BRIGHT Group
Creating a simulation model to assess the initiatives of internal logistics optimization. Using the simulation to compare the internal logistic network design options for the metallurgical holding EVRAZ.
Period: May 2015 – October 2015 Industry: Mining Client / Partner: EVRAZ / BearingPoint
Development of Road Traffic Library – the library for modeling of road traffic for software AnyLogic.
Period: February 2015 – February 2016 Industry: IT Client / Partner: The AnyLogic Company
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: Oil and Gas Client / Partner: Gazpromneft-Angara / BRIGHT Group
Development of dynamic simulation for strategic planning of potash mine outbound logistics. Client — BHP Billiton, the world’s largest mineral resources company.
Period: October 2014 – April 2015 Industry: Mining Client / Partner: BHP Billiton / Goldratt Research Labs
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: Mining Client / Partner: Uralkali
Development of simulation model to support decisions in strategic planning of logistics for offshore arctic drilling platforms. Client — Gazpromneft, one of the largest oil and gas companies.
Period: December 2013 – May 2014 Industry: 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, one of the biggest trucks manufacturer.
Period: November 2013 – May 2014 Industry: 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 leading mineral resources company.
Period: July 2013 – November 2013 Industry: 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: 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 alcoholic distributors.
Period: January 2013 – July 2013 Industry: 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: Logistic and Transportation Client / Partner: Russian Post / Ernst & Young
We create complex simulation models and scheduling systems to support decision making
We create simulation applications on our own Amalgama Platform
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