Process simulation can be used in many different industries and many different processes. For example:
Healthcare: Consider a hospital looking to optimize patient flow through its emergency department. Through business process discovery, they've mapped out the current patient journey. However, before making changes—like altering a triage system or allocating more staff during peak times—they can simulate various scenarios to identify unintended issues caused by those changes. This ensures that the proposed solutions don't inadvertently increase patient waiting times or overburden staff.
Manufacturing: A car manufacturer wants to enhance its assembly line efficiency. Using a process digital twin, they simulate changes like reordering assembly stations or introducing robotic arms. Through simulations, they can predict how these changes would affect production times, product quality, and worker safety.
Banking: A bank wants to speed up its loan approval process. After mapping the current process through discovery, they simulate various changes—like automating credit checks, introducing digital document verification, or adjusting planned staffing levels. The simulation helps ensure that while the process gets faster, it doesn't introduce any unintended risks by inadvertently impacting the quality of required risk assessments.
E-commerce: An online retailer wants to optimize its product return process to enhance customer satisfaction. Simulating changes like introducing instant refunds, simplifying return labels, or providing pick-up services allows them to gauge impacts on customer loyalty, operational costs, and inventory management.
