The industry that ZTE is the first to drive in China's Internet of Things is a manufacturing industry. The transformation of manufacturing to intelligent, service-oriented and green is an arduous task. The integration of manufacturing and Internet of Things has enormous potential and potential for development.
1. Based on results rather than products as a basis for payment
In the entire economy, people are increasingly focusing on efficiency. The US health care system has gradually become more focused on results. In law, some authoritative experts have asserted that billing hours are dying. In manufacturing, some companies are experimenting with results-based models. For example, Siemens has developed a results-oriented train monitoring technology. The Spanish National Railways and Siemens have signed a performance-based contract for the technology. Siemens boasted that trains were punctual at 99.9% of the time. If it is more than 15 minutes late, passengers will be compensated.
2. The role of the manufacturer will expand and cross-border will become the norm
John Deere can transform from a tractor manufacturer to an agricultural partner through the Industrial Internet of Things. Examples of such transformations include crop guarantees and farm-state sensing technologies.
3. The supply chain will be more timely and efficient
Spanish retailer Zara is using radio frequency identification (RFID) to track inventory and intends to complete a complete transition to a wireless-based inventory. Such use of clothing RFID technology to manage the supply chain enables goods to be manufactured and sold in time to avoid waste.
4. The life cycle of the product can be accurately mastered
The Internet of Things can also increase efficiency by increasing production equipment uptime, controlling time to market, and better understanding consumer behavior.
5. Use-based insurance
IoT technology enables the sharing of financial institutions to save money, and it allows these financial institutions to provide floating rate loans or capital use incentives.
6. Differential pricing
There are some qualitative deviations in the manufacturing process that are normal. But by convention, the choice of quality is binary. Either the product is good enough to be loaded, or it is rejected. The Internet of Things can change this by using factory data to predict product quality. This data and real-time price simulation can be used to make differentiated product pricing.
7. Reduce casualties
The Internet of Things can perform automated tasks in hazardous areas. The best example of this is underground mining. The mining group Rio Tinto has taken automated mining operations as part of its future mining project.
8. Environmental Control as a Service
Companies that provide heating, ventilation, and air conditioning engineering (HVAC) services for industrial environments can use IoT technology to study the physical pressure of the workplace and its association with risky incidents. The relevant departments can then use relevant technologies to optimize the environment of special industries such as underground coal mining, drug research and development, and refineries. A small change in substances such as coal dust and gas can cause a safety accident.
9. Achieve forward-looking control over quality
Quality control can only be carried out passively and cannot be advanced. It is a practice in the manufacturing field. However, new sensing and joining technologies create possibilities for forward-looking quality control that potentially control rework, scrap rates and other waste.
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