How IoT Assists Robots and Humans to Work Together in the Field Service
Internet of Things (IoT) data gathered from machines has been changing the field service technicians’ roles, including how field service management is done. We shall explore how robots and humans can work together to improve efficiency.
Imagine this: in a company that relies on machines that work on their own to perform specific tasks, the machine works effectively until one day when it suddenly stops working entirely. Fortunately, field service comes in so that before the machine can sputter and stop, a tech is dispatched to the scene. How can this happen so fast? Through data of course! Since these machines have been designed with sophisticated data-collection abilities, a manufacturer gets to track and plan for outages, making sure that a human is present on the scene to make the necessary repairs.
How IoT has evolved digitally
Just like many sectors, manufacturing is undergoing a speedy adoption of new field service technology. However, the biggest effects aren’t just from robotics, but it’s on how data is being re-shaped and re-focused.
Essentially, IoT has been triggering these changes. What the data—gathered from products, machinery, and factories and sent to analytics service management software so that specialists can review it—does is form the backbone of decision making in the company. This is a digital revolution that enables more informed processes, designs, and innovation only when it has context.
For instance, in manufacturing, the entire piece is digitalized right from designing the concept to forming the manufacturing process, even before the metal is cut. The same is applied to the manufacturing environments as well as in collecting performance data that focuses on understanding the company’s manufacturing capacity.
Differentiating through service
One thing that’s commonly overlooked is the fact that digital determines the services and products manufacturers deploy. Although most of us already know that servitization is central and how many organizations extract more value by delivering services instead or products, the fact remains that service needs to be integrated with the business. It shouldn’t be looked at as a bolt-on, a good to have. Rather, it should offer the intelligence required to shape and determine the future in the manufacturing sector.
Technology is helping manufacturers differentiate via service and make more money. Currently, the vehicle for client and product intelligence service is a profit center but not a cost center. It can upsell and provides critical customer information as feedback.
When humans and robots are better together
When used in the manufacturing sector, human-centric cobot approach is known for putting human workers alongside robots. There are numerous circumstances in the manufacturing, assembling, packaging among other functions where human work is very essential. Robots cannot do everything, and this is the reason manufacturing is outsourced to places where labor is cheap. Besides, in most manufacturing processes, robots can’t do well on all tasks. Using people in such a workplace helps to attain the best results.
Field techs roles have changed
As field service management changes, the roles of a field service technician are also changing. The field service techs now have to evolve and develop better skills due to increased service importance. This means that techs have to work with more functionality on phones and tablets, as well as reporting, managing data collection and ensuring customers are happy. They need to rely more on field service technology like service management software to be efficient.
Interestingly, the KPMG Global Output report in manufacturing revealed that 49 percent of manufacturing executives would like to significantly change the kind of services they provide in the near future, while 45 percent of them are more concerned about how relevant their products and services are. Since 44 percent of them are also concerned about customer loyalty, it is easy to see how technicians play a vital role in the manufacturing sector. The data collected, including the intelligence that surrounds the data, are critical for innovation and growth. It’s clear that through IoT, humans, and robots can work together to offer the best results.