SMART INDUSTRY AND SMART MANUFACTURING
“Industry, the manufacturing business, manufacturing companies and even manufacturing processes are in full transformation”
IIoT and Smart manufacturing – a twin-movement of digitalization
Smart manufacturing has been defined as the fully-integrated, collaborative manufacturing systems that respond in real time to meet changing demands and conditions in the factory, in the supply network, and in customer needs. Smart industry is a synonym for Industry 4.0 or industrial transformation in the fourth industrial revolution within which smart manufacturing de facto fits.
Aiote provides wireless condition-monitoring solution with machine learning for more intuitive predictive maintenance. The sensor continuously measures RMS velocity, high frequency RMS acceleration and temperature, enabling the sensor to identify machine problems before they become severe and result in unplanned downtime. It also allows facility managers to plan maintenance more efficiently and reduce labor costs by eliminating manual checks
Aiote condition-monitoring solutions
Using a proprietary machine-learning algorithm, Aiote condition-monitoring solution collects data from the sensor to establish a machine’s vibration baseline and automatically set warning and alarm thresholds. When a threshold has been exceeded, the node can provide local indication, send the vibration and temperature data to the gateway for long-term analysis, and send a text or email alert. The solution serves as a simple “check engine light” data on a variety of vibration characteristics can also be collected over time for more in-depth analysis of machine performance.
The solution is ideal for a variety of machine-monitoring applications, including motors, pumps, blowers and many other types of machines throughout a facility.
Reasons you need Aiote- IoT/ML/AI in your manufacturing plant
Uninterrupted manufacturing process
Usually, manufacturing is divided into many processes, from sourcing of raw materials to production, transportation and reaching the customer. However, with IoT, we envision something extra.
The entire process will be smooth and effective. The raw materials will be already marked for production, intended to reach a particular buyer.
More productivity
Manufacturers are now building self-correcting systems. Missing parts are replaced and parts are replenished, giving rise to greater productivity.
Since manufacturing industries are looking for ways to boost productivity, there is no way for them to overlook what IoT can do for them. In addition to greater productivity, there is also more convenience along with reduced need for human labor
Maintaining supply lines
Aiote expects to help businesses stick to lean manufacturing while helping maintain supply lines. Since lean manufacturing often requires smart management of the supply lines (to ensure that components are never in short supply but there is no overstock), The use of IoT is expected to help resolve many problems.
. It will help ensure that suppliers located in different regions can be kept in the loop and supply lines can be managed smoothly so that there is no shortage. It will also help reduce waste and optimize the use of resources.
Keeping an eye on suppliers
Quality control has become easier because IoT helps keep an eye on suppliers, which eases the manufacturing processes. Keeping an eye on suppliers is all about looking at all constituents that the supplier offers.
Capturing data about these constituents through IoT helps make for faster data-processing and better quality control.
Reduced cost
As IoT gains more efficiency, manufacturers can expect to see lowered costs, which is one of the primary reasons manufacturing experts are enthusiastic about the role of IoT. It will become easier to track information about products and processes and more automation will usher in greater efficiency, eventually reducing costs and boosting profit margins.
If your manufacturing plant has not invested in IoT yet, this might be the right time--and the right reason--to start.
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Integrating offline and online processes
Traditionally, data and manufacturing have been treated as separate entities. However, in manufacturing industries where IoT advances, this is expected to change.
As products begin to carry information about them, it becomes easier to assign a processing and logistics path to them.
Connected to the consumer
Products are, in the end, manufactured to suit the consumer. Thanks to IoT, it becomes easier to stay connected to the consumer and create products that match their requirements. This offers two-way benefits, as the consumer gets the best products and the manufacturing plant is able to manufacture products per exact specification.
As products begin to carry information about them, it becomes easier to assign a processing and logistics path to them.
As manufacturing processes undergo change, it becomes imperative for executives to make the most of the coming revolution, which will change how things are manufactured and the market economy as a whole. As such, it is wise to prepare for these changes by investing in the right IoT system.
Launch new products
Studying needs and launching new products is becoming easier.
There is less jostle and inefficiency than traditional systems.
The “smartness” in IIoT and manufacturing is about making optimal decisions, with and without human in the loop, in the processes in response to changes. To achieve that we need to access to the right information at the right time about the market, about the customers and the workforce, about the processes and finally about the physical assets and their operating environment. Gaining insights about the industrial assets and their operations is the main focus of IIoT. We now have an opportunity to garner these insights from the analytics of the vast amount of data we collect from these assets through the newly established connectivity.