Human-machine collaboration + big data, Welling dual combination boxing challenges flexible manufacturing
2017-06-16 4576 views
From a large manufacturing country to a strong manufacturing country, and from a traditional economy to a smart economy, one of the keys to China's economic transformation is exactly how to meet the flexible manufacturing of “diversity, small scale, and cycle controllability”, and shift from “rigid production” to “flexible Manufacturing. "
Flexible manufacturing refers to a manufacturing system that includes multiple flexible manufacturing units that can be quickly adjusted according to changes in the task or production environment, and is suitable for multi-variety production methods. Of course, this is relative to standardizing rigid mass production in large quantities. In Welling, "flexible manufacturing" is directly reflected in a production line that can manufacture motor products that meet different needs and different categories. Such as the Welling DC branch factory, the production line can be used for the manufacture of multi-type motors through operations such as rapid mold change and system switching.
Flexible manufacturing is the trend of the future manufacturing, but the challenges are not small. In the context of Industry 4.0, how can motor companies to meet the challenges of flexible manufacturing under Industry 4.0? Welling gave an answer with his own actions.
In the Welling factory, automated production lines are not just robotic arms or robots waving around. On the contrary, in addition to some fully automatic processes, many stations can also see Welling workers operating.
Just as the fully-automatic vertical winding machine introduced by Welling, two automatic winding machines are put into operation simultaneously and can run 12 winding positions at a time, increasing the winding speed by nearly 20%. The two machines need only a Welling worker to supervise. When a production task is completed, the Welling worker will choose another manufacturing task, and the winding machine will be put into the winding work of another type of motor parts according to the order issued by the computer system in.
Combining human flexibility with standardized production of automated equipment to jointly improve the production efficiency of multi-class motors and achieve flexible manufacturing results is the secret of Welling's "human-machine collaboration".
Using Big Data
According to the traditional production mode, a production line can only produce products of the same specification. However, after joining the "flexible manufacturing" production mode, different products can be produced online at the same time according to the order. In the Welling Air and Power Plant, Washing Plant, and DC Plant, different assembly lines can realize the mixed and flexible manufacturing of multiple types of motors.
Behind flexible manufacturing is a "big data system" that includes order information, manufacturing processes, real-time manufacturing information, equipment information, and production plans. Relying on the Internet of Things established by Welling, big data can be linked and processed and analyzed through a unified system to obtain a suitable production plan and manufacturing resource allocation plan. Thanks to the flexible manufacturing system used in each workshop, in the current tight market supply and demand relationship, Welling maintains high-efficiency production and manufacturing to meet the customer's multi-category product demands.
For manufacturing companies, in the context of Industry 4.0, to achieve lean production, it is no longer just to improve efficiency by eliminating waste, but more importantly to achieve internal collaboration. The key to internal collaboration is "flexibility and flexibility", such as through Automation equipment improves the production efficiency of some processes, and realizes flexible production through the innovation of production methods such as rapid mold change. The challenge of flexible manufacturing is certainly not easy, but Welling, who is brave to challenge, takes the initiative to fight with the combination of human-machine collaboration and big data to meet the manufacturing trend!