The World Economic Forum 2023, recently held in Switzerland, was focused on the world's most pressing global challenges and the potential for advancing innovative solutions. In this blog post, we will shine a light on some of the most severe risks over the next decade and our abilities to tackle global issues for future resilience using simulation modeling.
Production scheduling is the process of maximizing the efficiency of production through the detailed planning of manufacturing operations in the short-term. In this blog post, we will illustrate how exactly this has been done using real-world examples from different industries.
Risk management is the process of identifying, assessing, and controlling risks for a business. These risks could stem from a wide variety of sources and if an unforeseen event blindsides your business, it could sustain a financial loss. Simulation is a tool that helps identify potential risks and find ways to make your business resilient.
Healthcare simulation shows hospitals’ capacity and resource utilization, helps identify challenges, and leads to the right solutions based on the analysis of test results. Simulation modeling was frequently and successfully used during COVID-19 for evaluating disease spread and mass vaccination. Read in this blog post how simulation is used to accomplish healthcare-related tasks.
More runs, more users, and more model. More and more is demanded of simulation models as clients analyze greater numbers of scenarios, expand user access, and model in greater detail. How to scale and meet these demands? PwC emerging technology senior manager Sindy Ma is an expert on scaling simulations. Her presentation at the AnyLogic Conference 2021 showed three real-world case studies of projects that met the challenge of scaling simulations for more scenarios, more users, and more...
As COVID-19 vaccines have become available, many challenges have needed resolving. Not least, ensuring sufficient supply and effective distribution. At our webinar, March 2021, guest presenter Dr. Ali Asgary of York University, Canada, gave insight into the development and use of a drive-through mass COVID-19 vaccination simulation. He provided details of its machine learning model and online application, including how public authorities are using the results in their vaccination rollouts...
One of the key methods for gaining insight into the unknowns of the COVID-19 pandemic is to use simulation modeling. This is true for many disciplines across business and research, as reflected in the collection of public models being uploaded to AnyLogic Cloud. Here we gather a variety of COVID-19 related simulation models. See the models and try them out!
Why is it so hard to model the COVID-19 epidemic? In this guest blog Ignacio Brottier and Patricio Pipp look at how agent-based simulation modeling goes beyond traditional SEIR and its shortfalls. The first step to understanding any system is asking ourselves what it is we are trying to understand and, as the team of FiveThirtyEight well explains in their very recommended article, understanding COVID-19’s evolution is no easy task...