What is a digital twin? What are its benefits? Is it applicable to my business? If these are the questions you're asking, you've come to the right blog post. Learn about digital twins in business, how they are combined with simulation, and check out the on-topic case studies from various industries.
The Christmas holidays are rapidly approaching and it’s time for the traditional sales. Besides this shopping rush and high sales, retailers also face problems caused by the growing volume of orders, deliveries, and returns. Simulation modeling can help retailers cope with these emerging difficulties.
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.
Supply chain design, management, and optimization is easier with anyLogistix. Building on the simulation capabilities of AnyLogic with supply chain specific features and a streamlined interface, anyLogistix is a powerful supply chain tool that is easily accessible for analysts, managers, and network designers alike. Discover better supply chain analytics.
Coca-Cola HBC worked with NFP Consulting to optimize its extensive delivery network in the CIS region. Using anyLogistix supply chain optimization software, they tackled five key business challenges in logistics and created a solution that accommodates over 200,000 clients.
Accenture partnered with San Francisco based AI company Pathmind to investigate the potential of new reinforcement learning (RL) opportunities in simulation. The results obtained were extremely good. The method produced a waiting time more than 4x shorter than the Nearest Agent heuristic. In this blog post, Agustin Albinati summarizes the model, introduces the three key considerations when defining the neural net, and presents the results of his team's investigations. Linked at the end...
How much will profit increase without this bottleneck? Or how about – If we invest in debottlenecking the whole production line, can we meet our targets? Simple questions and a common approach, but the answers may not be what you expect if you were to ask Dr. Alan Barnard, CEO Goldratt Research Labs. Read on and find out why...