Lost time and money may add up quickly when a system goes down. In a recent study, Gartner found that the average cost of downtime is over $5,600 per minute, with some companies estimating expenses as high as $540,000 per hour. In light of this, it’s clear that an effective incident management system is crucial for mitigating the effects of downtime.
One emerging technology that is being increasingly used to optimise the cost of downtime is digital twin technology. A digital twin is a virtual replica of a physical object or system used to simulate and model its performance. By creating a digital twin of equipment, organisations can use simulation and modelling to predict failures and optimise maintenance schedules, reducing the risk of downtime and improving overall productivity.
Digital twin technology’s primary value is that it allows for proactive management of equipment performance rather than reactive management in the event of a failure. Organisations can model the operation of machinery and spot problems before they happen by establishing a digital twin. This allows them to execute maintenance on time and replace parts that are due to fail soon, thereby avoiding unscheduled downtime.
Scheduled maintenance can also benefit from digital twin technology. Organisations can schedule maintenance at the most convenient moment by modelling the operation of their equipment and anticipating when it will break down. This can assist in cutting down on the expense of equipment downtime by lowering the frequency with which urgent fixes are required.
Furthermore, businesses can employ digital twin technology to understand better what leads to equipment breakdowns. To prevent future equipment failures, businesses can use data collected from sensors and performance simulations to determine the root causes of previous failures. This can boost equipment efficiency and lessen the likelihood of breakdowns.
Another benefit of digital twin technology is that it can help organisations optimise their maintenance budgets. By simulating equipment performance and predicting failures, organisations can prioritise maintenance activities and allocate resources more effectively. This can help reduce the cost of downtime and improve overall productivity by ensuring that maintenance activities are focused on the most critical equipment.
The use of digital twin technology can benefit a wide range of companies and industries, particularly those that rely heavily on equipment and machinery to support their operations. Industries such as manufacturing, transportation, energy and utilities, and healthcare are just a few examples where digital twin technology can be applied to optimise equipment performance and minimise downtime.
For manufacturing companies, digital twin technology can optimise production processes, reduce maintenance costs, and improve product quality. By simulating manufacturing equipment performance, organisations can identify potential issues and take proactive steps to prevent downtime and improve overall equipment performance.
In the transportation industry, digital twin technology can optimise maintenance schedules, improve safety, and reduce the risk of equipment failure. By creating a digital twin of vehicles, organisations can monitor their performance and identify potential issues before they occur. This can help reduce the risk of downtime and improve overall vehicle performance.
In the energy and utilities industry, digital twin technology can optimise critical infrastructure performance, such as power plants and transmission systems. By simulating the performance of this equipment, organisations can identify potential issues and take proactive steps to prevent downtime and improve overall equipment performance. This can help reduce the risk of power outages and improve overall reliability.
In the healthcare industry, digital twin technology can optimise medical equipment performance, reduce maintenance costs, and improve patient outcomes. By simulating the performance of medical equipment, healthcare organisations can identify potential issues and take proactive steps to prevent downtime and improve overall equipment performance. This can help improve patient care and outcomes by ensuring that medical equipment is reliable and functioning properly.
ServiceNow can be used to help manage and monitor digital twin technology. For example, it can create and manage equipment maintenance and repairs workflows, inventory and asset tracking, and monitor equipment performance data to detect potential issues.
In general, digital twin technology is useful for any business that runs on machinery and other mechanical aids. Making a digital duplicate of a piece of machinery helps businesses enhance efficiency, cut expenses, and decrease downtime, contributing to the company’s overall success.
In summary, downtime might result in significant financial losses due to diminished output. Reduce the adverse effects of downtime on operations and boost productivity generally; this can lead to a more efficient and effective incident management procedure. Organisations can improve their event management system and reduce the effects of downtime by using cutting-edge technologies like digital twin technology. Proactively managing equipment performance, optimising maintenance schedules, tracing down the cause of equipment failures, and allocating maintenance budgets are all made more accessible using digital twin technology.