What are the uses of industrial internet of things in manufacturing?
According to a Business Insider study, global manufacturers will invest $70 billion in 2020 for IoT solutions. This is an increase from the $29 billion in 2015.
1.digital / networked factory
Machines supporting IoT can transmit operational information to partners such as manufacturers or field engineers, which will enable operations managers and plant owners to remotely manage plant units and utilize process automation and optimization. At the same time, the digital connectivity unit will build a better command line and help determine the manager's Key Results Area (KRA).
2. Facilities management
The use of IoT sensors in manufacturing equipment enables state-based maintenance alerts. There are many key machine tools that need to operate within a specific temperature and vibration range. IoT sensors can actively monitor the machine and alert when the device deviates from its specified parameters. By ensuring a defined working environment for the machine, manufacturers can save energy, reduce costs, eliminate machine downtime and increase operational efficiency.
3. Production process monitoring
The IoT in the manufacturing process enables comprehensive line monitoring from the refining process to the final product packaging. This comprehensive (nearly) real-time monitoring of the process provides a range of recommended operational adjustments to better manage operational costs. In addition, close monitoring can identify production lags and eliminate waste and unnecessary product inventory.
4. inventory management
IoT applications allow monitoring of all events throughout the supply chain. With these systems, inventory can be tracked and tracked globally at the project level and the user is notified of any significant deviations associated with the project. This provides cross-channel visibility of inventory and provides managers with a realistic estimate of the time of arrival of available materials, products, and new materials. Ultimately, this optimizes supply and reduces the cost of sharing in the value chain.
5. factory safety and security
The Internet of Things combined with big data analysis can improve the overall security factor of factory employees. By monitoring health and safety key performance indicators such as injury and disease incidence, attempted events, occasional and long-term absences, vehicle accidents, and property damage or loss in day-to-day operations. Therefore, effective monitoring ensures better safety, and lagging indicators (if any) can be addressed to ensure that health, safety and environmental (HSE) issues are properly remedied.
6. quality control
IoT sensors collect aggregated product data and other third-party data from all phases of the product cycle. This data relates to the composition of the raw materials used, the temperature and working environment, waste, transportation, etc., on the final product. In addition, if used in the final product, IoT devices can provide product experience data about the customer, and all of these customer usage data can later be analyzed to identify and correct product quality issues.
7. packaging optimization
By using IoT sensors in products and/or packaging, manufacturers can learn about how products are used and how they are handled from multiple customers. The intelligent tracking mechanism also tracks product degradation during transportation and the impact of weather, roads and other environmental variables on the product. This will provide insights that can be used to redesign products and packaging to achieve better performance in terms of customer experience and packaging costs.
8. Logistics and supply chain optimization
The Industrial Internet of Things (IIoT) provides access to real-time supply chain information by tracking the movement of materials, equipment, and products in the supply chain. Effective reporting enables manufacturers to collect delivery information and enter it into ERP, PLM, and other systems. By connecting the plant to the supplier, all parties involved in the supply chain can track interdependencies, material flows and manufacturing cycle times. These data will help manufacturers predict problems and reduce inventory and capital requirements.
1.digital / networked factory
Machines supporting IoT can transmit operational information to partners such as manufacturers or field engineers, which will enable operations managers and plant owners to remotely manage plant units and utilize process automation and optimization. At the same time, the digital connectivity unit will build a better command line and help determine the manager's Key Results Area (KRA).
2. Facilities management
The use of IoT sensors in manufacturing equipment enables state-based maintenance alerts. There are many key machine tools that need to operate within a specific temperature and vibration range. IoT sensors can actively monitor the machine and alert when the device deviates from its specified parameters. By ensuring a defined working environment for the machine, manufacturers can save energy, reduce costs, eliminate machine downtime and increase operational efficiency.
3. Production process monitoring
The IoT in the manufacturing process enables comprehensive line monitoring from the refining process to the final product packaging. This comprehensive (nearly) real-time monitoring of the process provides a range of recommended operational adjustments to better manage operational costs. In addition, close monitoring can identify production lags and eliminate waste and unnecessary product inventory.
4. inventory management
IoT applications allow monitoring of all events throughout the supply chain. With these systems, inventory can be tracked and tracked globally at the project level and the user is notified of any significant deviations associated with the project. This provides cross-channel visibility of inventory and provides managers with a realistic estimate of the time of arrival of available materials, products, and new materials. Ultimately, this optimizes supply and reduces the cost of sharing in the value chain.
5. factory safety and security
The Internet of Things combined with big data analysis can improve the overall security factor of factory employees. By monitoring health and safety key performance indicators such as injury and disease incidence, attempted events, occasional and long-term absences, vehicle accidents, and property damage or loss in day-to-day operations. Therefore, effective monitoring ensures better safety, and lagging indicators (if any) can be addressed to ensure that health, safety and environmental (HSE) issues are properly remedied.
6. quality control
IoT sensors collect aggregated product data and other third-party data from all phases of the product cycle. This data relates to the composition of the raw materials used, the temperature and working environment, waste, transportation, etc., on the final product. In addition, if used in the final product, IoT devices can provide product experience data about the customer, and all of these customer usage data can later be analyzed to identify and correct product quality issues.
7. packaging optimization
By using IoT sensors in products and/or packaging, manufacturers can learn about how products are used and how they are handled from multiple customers. The intelligent tracking mechanism also tracks product degradation during transportation and the impact of weather, roads and other environmental variables on the product. This will provide insights that can be used to redesign products and packaging to achieve better performance in terms of customer experience and packaging costs.
8. Logistics and supply chain optimization
The Industrial Internet of Things (IIoT) provides access to real-time supply chain information by tracking the movement of materials, equipment, and products in the supply chain. Effective reporting enables manufacturers to collect delivery information and enter it into ERP, PLM, and other systems. By connecting the plant to the supplier, all parties involved in the supply chain can track interdependencies, material flows and manufacturing cycle times. These data will help manufacturers predict problems and reduce inventory and capital requirements.
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