Container, bulk cargo, multimodal terminals. Determination of maximum throughput, identification of bottlenecks, optimization of existing capacities, modeling of designed facilities, etc.
Railway stations and airports
Assessment of the throughput of buildings and individual objects inside them, optimization of business processes at service points, assessment of the density of the flow of visitors, experiments on evacuation in case of emergency.
Performance planning, resource optimization (personnel and equipment), production cycle optimization, inventory planning, production facility simulation.
Strategic and operational supply chain management, route optimization, fleet performance monitoring, risk assessment and management, warehouse performance modeling and optimization, and many other tasks.
Analysis of the capacity of roads and intersections, optimization of traffic light phases, simulation of section closures, determination of optimal road network configurations during design.
Optimization of receiving, shipping, picking, sorting and storage areas. Determination of the quantity, types and characteristics of transport and loading equipment. Analysis of the organization of cargo flows and the necessary personnel.
Our latest work
Digital twin of a coal bulk terminal
Determine the throughput within the framework of the project to increase the transshipment capacity to 40 million tons / year. It was required to simulate: railway logistics of cargo, variability of conveyor network lines, warehouse planning, all main types of equipment, taking into account breakdowns and maintenance and repair, maritime logistics and other related processes at the Terminal,
The developed simulation model was verified through the AS-IS stage, and with the help of multiple experiments for each option of the modernization stage, extensive statistics were obtained both for maximum productivity and for the indicators of each equipment node (maintenance and repair, operating hours, CTG, KPI and other values), which in the model more than 80 units.
The digital twin of a container terminal
Determine the maximum throughput of the container terminal, as well as its individual components, such as: transshipment equipment, railway infrastructure, container yard.
After carrying out the necessary experiments and obtaining output data, optimal upgrade scenarios were found, bottlenecks were identified and it was determined that with the available capacities and optimization of certain operations, the terminal's throughput can be increased by 57%.
Simulation model of a production area
Optimize the internal logistics of the enterprise and identify opportunities to increase the productivity of the production site.
A simulation model has been developed that makes it possible to calculate and build schedules for the workload of warehouses and production sites. Optimization experiments helped organize logistics more efficiently and increase productivity by increasing the load on warehouse and production sites.
Network of unregulated road intersections
Determine the maximum throughput of unregulated intersections and a traffic density map for each direction.
For each intersection, a separate model was developed taking into account the topology and input parameters. With the help of the OptQuest optimizer, the maximum value of throughput was found while maintaining the distribution of shares by vehicle type. The flow density is determined taking into account the average speed of the car on each section of the road.
Milk production simulation model
Determine the maximum possible throughput of the line and identify the limiting factors for increasing throughput given the input parameters.
The developed simulation model allows you to calculate the main indicators, for example: the volume of milk yield, labor hours of employees, electrical energy consumption, water consumption, the volume of food supply, etc.
The model has the ability to change key parameters before launch and see how the indicators will change over time. After the experiments, the maximum performance of the current configuration was determined and more optimal parameters were found to reduce financial costs.
We develop our models in the AnyLogic and AnyLogistix™ environment and are an official and certified partner.
AnyLogic Company is the world leader in simulation modeling using all 3 major approaches: Discrete Event, Agent and System Dynamics.
After development, a stand-alone application is compiled for the Customer without the need to install the source software, . Also, the model can be exported to a ready-made cloud environment - AnyLogic Cloud and run on any device via a browser.