Simulation allows us to understand our day to day operations and make improvements based on changes both internal and external. During a pandemic, it is more critical than ever to utilize this tool to avoid extra costs and effectively changeover. We’re seeing many different organizations tackle large changes through the power from Arena Simulation such as machine retooling, social distancing requirements, and of course, health care needs.
We have been receiving a number of questions about building Arena simulation models from healthcare organizations that are struggling to cope with the COVID-19 crisis. While we will continue to provide support as quickly and thoroughly as we can to individual questions, we wanted to write a post to help with general suggestions for users building models focused on predicting healthcare capacity and bottlenecks.
In this month’s case study, one of the chief goals of the simulation model was to test several potential operational modifications. When there are several changes to test, the questions arise:
If your team is consistently underperforming, you’ve got a tough road ahead. I hate to break it to you, but in our consulting practice we find that people can and want to perform well, and it’s most often the systems put in place that force underperformance.