Optimization and improvement

Description of your first forum.
Post Reply
sadiksojib35
Posts: 302
Joined: Thu Jan 02, 2025 7:11 am

Optimization and improvement

Post by sadiksojib35 »

After checking and validating the model, the optimization stage comes. This may be improving the model's performance or adding new elements.

On the topic: A digital twin will be able to test drugs on itself and even save your life



How Simulation Modeling Works on Real Cases
Sheremetyevo Airport
The airport infrastructure is expanding. It is planned to build new terminals, integrate them with each other, and expand the parking lot and entrance areas. These changes should increase the airport's capacity and help reach an annual passenger flow of 52 million.

To determine the relevance of the new functions, Sheremetyevo guatemala telegram database submitted a request for the development of its own simulation model. The ready-made model would not be able to fully reflect all the features of the project, the airport has specific business processes and infrastructure. For example, the Sheremetyevo simulation model would not be suitable for Domodedovo. Because the initial data for mathematical calculations are too different: the number of parking spaces, baggage belt models or the area of ​​the check-in hall.

Stages of development of a simulation model for Sheremetyevo Airport
First, a detailed survey of all objects and processes is carried out: terminals, runways, parking lots, passenger flows. Data on the throughput of each element, service time, and possible congestion is collected and analyzed.
Based on the data obtained, a digital model of the airport is built - virtual copies of buildings, roads, queues. Operational logic is added: passenger routes, baggage handling rules, transport management algorithms.
After the model is launched, the computer simulates the airport's operation in real time. You can see how virtual passengers move around the terminal, stand in lines, and check in. You can enter different scenarios: change the passenger flow, add or remove flights, change the schedule, and see how this affects the airport's operation.
By analyzing the statistics and indicators generated by the model, you can understand how to optimally organize processes at the airport. How many check-in desks are needed, how to distribute flights across terminals, which places are "bottlenecks" in the infrastructure.
At first, the solution is implemented on a limited scale. For example, in one of the airport terminals or in a small section of the logistics chain.
Post Reply