Every day, millions of tires are shipped around the world.
They carry the most important connection between cars and roads, and also carry the pursuit of quality, safety and efficiency by manufacturing companies.
But few people know that from raw material to final production line, a tire has to go through dozens of processes, hundreds of process parameter controls, and collaborative management of massive production data.
In the era of intelligent manufacturing, the birth of a tire is no longer just a production process, but also a digitally driven “intelligent manufacturing journey.”
First stop: starting from the order, not from production
Many people think that tire production begins in the mixing workshop.
In fact, the journey of a tire often begins the moment the order is placed.
After customer demands enter the enterprise, production planning needs to be carried out based on order quantity, delivery time, equipment production capacity, inventory status and other information.
If you rely on traditional manual production scheduling, faced with hundreds of specifications, multiple production workshops, and complex process routes, plan adjustments often take a lot of time.
In the digital factory, the APS intelligent production scheduling system will comprehensively consider factors such as equipment capabilities, mold resources, order priority, etc. to automatically generate a more reasonable production plan.
At this time, this tire has not yet entered the workshop, but it already has its own production path.
Second stop: from rubber raw materials to semi-finished product manufacturing
After entering the production process, tires must first go through multiple processes such as mixing, calendering, extrusion, and wire ring manufacturing.
These links appear to be independent, but are actually closely related.
In the past, a lot of production data relied on manual recording, and it was often difficult to detect abnormalities in time.
Today, through the MES manufacturing execution system, data such as equipment operating status, process parameters, and production progress can be collected and uploaded in real time.
The formula of each batch of rubber, each equipment operation, and the production status of each process are all fully recorded.
For enterprises, this is not only data collection, but also an important basis for production transparency.
The third stop: the critical moment of tire building and vulcanization
Tire building is called the “assembly process” in the tire manufacturing process.
The tread, belt, carcass and other components are combined here to form the tire embryo.
Then enter the vulcanization process.
Vulcanization is known as the “soul craft” of tire manufacturing.
Subtle changes in parameters such as temperature, pressure, and time may affect the quality of the final product.
Under the traditional management model, it is often difficult to monitor this data throughout the entire process.
In the digital management system, the MES system can record key parameters in the vulcanization process in real time and automatically associate them with product batches.
Even if quality problems occur in the future, they can be quickly traced back to specific equipment, specific processes and even specific time periods.
For tire companies, this quality traceability has become an important guarantee for improving competitiveness.
The fourth stop: from data accumulation to intelligent decision-making
After a tire rolls off the assembly line, its production process does not end.
The large amount of data generated during the production process will become an important basis for continuous optimization of enterprises.
How is the equipment utilization?
Which process is the bottleneck?
Which products have greater fluctuations in quality?
Which size has the highest production cost?
Data statistics that used to take days or even weeks to complete can now be presented in real time through digital platforms.
What business managers see is no longer scattered data, but a panoramic view of the entire factory’s operating status.
From experience-based decision-making to data-based decision-making, this is the core change brought about by intelligent manufacturing.
Conclusion: The digital power behind a tire
From order generation to product delivery, behind a tire there is not only a complex production process, but also the full support of the digital system.
Smart manufacturing is not simply adding automation equipment, but allowing planning, production, equipment, quality and data to form a collaborative closed loop, making the entire factory more transparent, efficient and controllable.
When a tire has a complete data track, it is not just a production line, but a road to intelligent manufacturing.
