What are the Top IOT UseCases in Manufacturing Industry ?
A few decades ago, the idea of embedding sensors and chips into physical objects sounded absurd and impossible. But thanks to the Internet of Things, that has become a reality. This technology has grown into a key concept for many companies in a short period of time The Internet of Things has significantly changed some aspects of our daily lives, such as driving, cooking, buying, manufacturing and more.
The IoT, or Internet of Things, is one of the hottest trends across industries today. Mobile app development companies in USA are seeing companies embrace it to fuel digital transformation at multiple levels For the manufacturing industry, which involves the production of a wide range of goods, IoT has a lot to offer to enable people and equipment. More recently, various digital technologies have been implemented in the industry that progressively reduce human participation in work processes
The following are the use cases of Ai in manufacturing industry :
1. Remote monitoring of production
Embedded sensors in production equipment allow remote monitoring of production rates in relation to inputs (raw materials), labor and time, among other things Their analysis will provide actionable insights into I/O ratios for optimization.
Another benefit of remote monitoring of production is remote monitoring of production This is critical for business continuity, especially during a pandemic, if you can work anywhere as long as it's done on time For example, production managers can get an overview of the status of work from their laptops from anywhere in the world without having to be physically present.
2. Quality Control
Quality control is one of the Top IOT use cases in manufacturing Industry Automation of production by robots or other related technologies is intended to increase overall product consistency. One way to ensure this is to use thermal imaging to organize quality control inspections
Let's say a company manufactures packaging and sealing products, such as motherboards, that are difficult to visually inspect and prone to error Businesses can utilize thermal sensors to determine the location of internal components relative to a reference object and ensure that the manufactured product meets the required criteria.
3. Preventive maintenance
Among those already mentioned, both vibration and humidity sensors can continuously provide data that can be analyzed for predictive maintenance.
Like a car's engine oil signal, this sensor alerts personnel when overhaul or predictive maintenance is required. The quicker this maintenance is done, the less downtime the machine will have and, in turn, less production downtime , if you are thinking to develop a IOT app, then know How much does it costs to develop IOT application
4. Safer work environment
IoT devices and technologies can create a healthier work environment for everyone involved for example:
HVAC sensors can be implanted throughout production plants to ensure healthy air quality For example, Air Quality Index (AQI) software analyzes data sent by air sensors to ensure that quality is within the desired paradigm
FaceMe is a company specializing in facial recognition. This technology can identify and alert you whenever an operator is not wearing the mask properly This technology could help stop the spread between the workforce, especially in situations where masks play an important role in preventing the spread of COVID 19.
In addition to fulfilling moral and regulatory obligations by creating a safe working environment for workers, production managers can reduce worker liability and the likelihood of litigation for safety violations
5 Fleet Management
GPS trackers can be implanted in buses and other transport vehicles to obtain data about their movements The data can then be utilized in fleet management software to calculate how long a truck will take to cover a route, for example, so inventory and production managers can schedule the team's work accordingly
IoT can simplify and proactively manage shipping logistics, so you can proactively identify bottlenecks Due to current supply chain challenges, fleet management is one of the most important use cases for IoT throughout the entire manufacturing process
6 Workforce Efficiency
When all previous points culminate, a more productive workforce can be created. As time consuming and repetitive tasks are automated, the workforce is privileged to focus on more advanced tasks.
Smart wearables, such as industrial smartwatches, can also transmit data in real time between machines and personnel. For example, if an assembly line is interrupted, the smartwatch automatically alerts maintenance personnel to notify the relevant personnel of workload rebalancing
The manufacturing sector is benefiting from several IIoT applications And with Industry 5 0, new use cases will emerge.
Here are some interesting examples of IoT applications in manufacturing.
M2M Automation: Machine to Machine Automation helps you remotely manage and control your machine's data. It reads sensor data and sends it to the network. IoT systems communicate through sensors and automate decisions such as raw material requirements, demand forecasting, and more Integrating ERP with data helps you monitor manufacturing processes and capture insights AI technology in manufacturing industry Enables remote monitoring, asset tracking and monitoring, product restocking, and more
The application of smart assets: The combination of IoT sensors, asset tags, and software that tracks the location and status of assets in real time provides an ecosystem of interconnected devices, security components, application software, controllers, and more Track and optimize assets at every stage of manufacturing, from supply chain to product delivery. Quickly and efficiently identify issues that negatively impact product quality or time to market
IIoT's intelligent assets include digital equipment, plant instrumentation, and embedded systems.
Monitoring Support: IoT assets connect systems and machines and help remote manufacturing business owners monitor their equipment for compliance, safety and reliability Sensors track the production process and send status notifications Remote monitoring via IoT-connected assets helps to find industrial assets. IoT sensors monitor equipment usage and health to help evaluate performance Sensors can also help deploy services in case of problems Helps in quality control, inventory optimization and logistics replenishment
Accurate KPI performance visibility: Key performance indicators (KPIs) help guide decision making In addition, an easy to use KPI dashboard allows companies to stay focused and prioritize to make sure they are moving in the right direction. Overall Equipment Efficiency (OEE) and many other manufacturing KPIs help you calculate and understand your plant's performance from multiple perspectives.
Data collected about machine uptime allows you to track overall process efficiency (OPE) and OEE. The IIoT platform leverages data analytics, compiles and contextualizes disparate data into interactive dashboards, and simplifies reports to explain manufacturing performance IoT platforms also help compile and contextualize data into simplified reports and dashboards that can detail how well your business is performing.
Efficient Logistics: IoT offers multiple use cases to help business owners in manufacturing. For example, reducing or eliminating risk to transportation, vehicle and staff costs IoT driven interconnection between devices and systems increases supply chain efficiency. Autonomous vehicle solutions and real time driver/vehicle performance monitoring reduce damage and insurance payments IoT can be leveraged to optimize logistical tasks such as fuel cost and delivery monitoring.
The use cases listed above certainly talk about the potential of IoT in manufacturing. This has made many manufacturers ready to transform their businesses Because manufacturing sees clear benefits to implementing Industrial IoT.
Take a look at some notable benefits.
Improved operational efficiency: IoT facilitates informed decision making by automating data collection through connected devices and systems and accurate data analysis. IIoT applications such as real time and remote monitoring improve visibility of the shop floor, field operations,
supply chain, outsourced operations, and more It also helps identify obstacles and bottlenecks in the manufacturing process.
If you are interested read more to know about: Top use cases of ai in supply chain management
Increased productivity: IoT devices efficiently handle all repetitive and trivial tasks They enable humans to apply their intuition and problem-solving abilities to handle complex tasks that go beyond the intelligence of machines IoT also improves productivity by automating multiple manufacturing processes and providing insight into machine performance
Better product quality: Deploying IoT devices to help people helps eliminate errors and mistakes, resulting in fewer or no rejects on the production line Fewer defects means better product quality. In addition, improved product quality increases customer satisfaction and brand reputation
Conclusion:
The impact of implementing an IoT solution is very tangible. Implementing the right IoT technologies into your manufacturing processes to make them smart can help increase production and safety levels And in the end, you can improve your business growth rate by 25%.
Despite the obvious benefits, many industries are not yet ready to incorporate IoT solutions into their processes. This could be due to a lack of expertise in the technology involved, a lack of staff readiness for new technologies, and a reluctance to change processes and train staff, but in many cases, laggards do not clearly understand the benefits of using the technology. IIoT is missing the ROI perspective. Now you can hire the Ai experts from the Top Artificial Intelligence Companies in USA to develop IOT in manufacturing .
Author Bio:
I am Harika I work as a SEO Executive at USM Business systems, The best Mobile app development company IN USA , experienced in the creation of iOS and Android apps. As a technical content writer, I am curious to explore and write the Articles on latest Mobile app development trends, Artificial intelligence and Internet of Things, For more reference you can Also follow me on LinkedIn.