Based on the conditions surrounding historical device failures, you can see ahead of time when things are lining up for future asset downtime. This creates the immediate benefit of increased asset uptime and reduced cost via enhanced coordination in a predictive manner. At the same time, it also puts you in a better position to achieve the long-term goal of improved customer satisfaction via equipment performance improvements.
In the aerospace industry, for example, every aircraft is a precious asset – and one expected to have a long life. A significant number of operating costs go towards maintenance, repairs, and improvements. Using data connected by sensors and distributed via the IoT for components like wing flaps and engines, maintenance providers can predict a part failure before it happens.
Even more, they can locate the necessary parts ahead of time (and the employees with the skill sets needed to perform the repair) and have both the parts and the experts waiting in the hangar when the aircraft arrives. This not only speeds the repair and gets the plane back in the air as fast as possible, but it also eliminates what could have turned into a dangerous and life-threatening situation. Thanks to the IoT, all this happens largely automatically – it doesn’t require much extra effort from a company’s leaders or its workforce.
Even beyond the fact that connected assets allow you to predict and prevent critical equipment failures before they happen, this creates other long-lasting benefits as well. Connected assets allow you to better anticipate ongoing downtime and maintenance needs within the context of an entire organization, not just in terms of specific assets. This puts an entire business in a better position to meet performance and quality objectives at all times.
Likewise, the real-time and accurate maintenance instructions and data about spare parts availability provided to engineers allows them to make preventative decisions today to guarantee positive outcomes tomorrow and beyond. Tracking factors like energy efficiency and equipment effectiveness also allow for more proactive, continuous improvement initiatives.
Companies can also see which jobs require which human and equipment assets, optimizing their workflows to meet those needs in a more logical way. It removes guesswork from the equation – suddenly you know exactly who needs access to which equipment and where they need to be to guarantee performance outcomes.
This brings the most important benefit of all: The ability to not only align technology with strategy in a way that meets customer needs, but to do so in a far more organized and cost-effective way.
Connected assets allow manufacturing executives to make smarter, more informed decisions moving forward. In a way, they’re not about “predicting” the future at all. Instead, they’re about using the information available to create an even better future through insight and action.