Eight main uses of the hottest industrial Internet

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Eight main uses of industrial IOT in manufacturing

Industrial IOT (iiot) is a fast-growing industry, accounting for the largest share of global IOT expenditure. According to IDC and sap, in 2017, 60% of manufacturers worldwide used data generated by connected equipment to analyze processes and make decisions

every manufacturer in the industry has broad development opportunities. They can not only monitor the complex processes in the manufacturing process, but also realize the automation of these processes. Although there are some systems that can track the progress of the factory, industrial IOT technology provides managers with more detailed details

according to a study by business insider, global manufacturers will invest $70billion in 2020 to equip their capacity with smaller IOT solutions. This is an increase from $29billion in 2015

eight main uses of industrial IOT in the manufacturing industry:

1. Digital/connected factory

machines supporting IOT can transmit operation information to partners such as manufacturers or field engineers, which will enable operation managers and factory heads to remotely manage factory units and utilize process automation and optimization. At the same time, the digital connection unit will establish a better command line and help determine the key result area (KRA) of the manager

2. Facility management

using IOT sensors in manufacturing equipment can realize status based maintenance alarm. 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 alarm when the equipment deviates from its specified parameters. By ensuring the specified working environment of the machine, manufacturers can save energy, reduce costs in various types of fatigue testing machines, eliminate machine downtime and improve operating efficiency

3. Production process monitoring

IOT in the manufacturing process can realize comprehensive production line monitoring from refining process to final product packaging. This comprehensive monitoring of the process (almost) when the actual manufacturers have different levels of inventory and still show an increasing trend provides a range of recommended operational adjustments to better manage operating costs. In addition, close monitoring can identify production lags and eliminate waste and unnecessary product inventories

4. Inventory management

IOT application allows monitoring of all events in the entire supply chain. Using these systems, the inventory can be tracked and tracked globally at the project level, and the special ASIC chip is notified to share any major deviations related to the project from a series of peripheral work users such as sampling and condition monitoring. This provides cross channel visibility of inventory and provides managers with actual estimates of the arrival times of available materials, products, and new materials. Ultimately, this optimizes supply and reduces sharing costs in the value chain

5. Factory safety and security

IOT combined with big data analysis can improve the overall safety assurance coefficient of factory employees. By monitoring key performance indicators of health and safety, such as the incidence of injuries and diseases, near misses, occasional and long-term absences, vehicle accidents, and property damage or loss in daily operations. Therefore, effective monitoring ensures better safety, and lagging indicators (if any) can be solved, so as to ensure that health, safety and environment (HSE) problems are properly remedied

6. Quality control

IOT sensors collect and summarize product data and other third-party data from all stages of the product cycle. This data relates to the impact of the composition of raw materials, temperature and working environment, waste, transportation, etc. on the final product. In addition, if used in the final product, IOT equipment can provide product experience data about customers, and all the use data of these customers can be analyzed later to identify and correct product quality problems

7. Packaging Optimization

by using IOT sensors in products and/or packaging, manufacturers can learn about the use mode and treatment of products from multiple customers. The intelligent tracking mechanism can also track the deterioration of products during transportation and the impact of weather, roads and other environmental variables on products. This will provide insights that can be used to redesign products and packaging to better perform in terms of customer experience and packaging costs

8. Logistics and supply chain optimization

industrial IOT can provide 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 factories to suppliers, 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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