Intelligent manufacturing has become an essential trend in global manufacturing. With the gradual erosion of low labour costs, factories and enterprises need to find new production methods to alleviate the various costs associated with production expenses and to respond to increasing production updates and consumer demands. The emergence of the Industry 4.0 model has provided new ideas for the manufacturing industry. It refers to the use of the Cyber-Physical System (CPS for short) to digitalize and to make explicit, the supply, manufacturing, sales information, and production requirements, to subsequently achieve a rapid, efficient, customized product supply.

The go-to concept is to use data information to connect the automated production process by applying the disciplines of Artificial Intelligence and the Internet of Things( IoT). And to combine them using information technology (IT) so that production directly reflects the consumer needs.

And to further use intelligent methods to integrate human and material resources, thereby improving production efficiency,  All this resulting in significant cost savings, coupled with the gradual extension of the Internet of Things methodology to connect devices, tools, media, etc.  In other words, all stages of the product life cycle, from raw material procurement to production, to delivery, to reaching the customer's home, the entire process can be visualized, controlled, and managed to maximize efficiency.

It is well-accepted that the information collected by consumers through the sales channel is inverted and delivered back through all the links of the integrated supply chain and becomes factored into the management of a highly efficient automated production line—all links reflecting the collective use of artificial intelligence and Internet of Things technology, which is the current wave of the future.

Benefits of artificial intelligence for pharmaceutical packaging companies

The new AI manufacturing model replaces the traditional foundry industry and requires numerous adjustments and wholesale changes in production methods. For example, investment capital must be in balance with market demand, because the design of a production line with a high production capacity requires a consistent high market demand and corresponding adjustments in the design and building of production equipment. Conversely, a large number of market products also need to be able to maintain an efficient production line to support manufacturing. With the help of AI and IoT technology, marketing companies can collect transmitted data in real-time, which can quickly reveal the general complaints and the specific needs of the consumer, thus allowing for relevant changes as they apply to mass production.

The utilization of AI in the manufacturing process is entirely different from traditional manufacturing. Using advanced digital manufacturing technology, factories can carry out planned production, purchase raw materials from global suppliers, and instantly respond to changes in prices, inventory, and the transportation of various raw materials, thus eliminating substantial and unnecessary risk. Inventory can also be better managed through feedback gathered about market conditions or from customers at any time. Overall, AI provides data management that allows for the monitoring of automated production to achieve a faster, more flexible, and more efficient market operation and product delivery system.

Guangzhou Xinron Pharmaceutical Packaging Co., Ltd., as a manufacturer of medicinal aluminum hoses, is adopting the intelligent manufacturing concept to produce collapsible aluminum tubes for salves. Through carefully selecting high-quality customers and providing consistent quality, standardized capacity, on-time delivery, and reliable quality inspection, GXPPC has quickly attained a 4.0  industry rating.  

What kind of benefits can be brought by smart manufacturers of' collapsible aluminum medicinal tubes and suppliers of pharmaceutical packaging products? My thoughts are that it can provide the following advantages to enterprises, customers, and society as a whole:

A. Improved production efficiency to reduce costs: The implementation of intelligent manufacturing elevates the transformation of enterprises from old-style production methods to automated management and control modes, enabling enterprises to achieve optimal technological processing, reduce production costs, and promote both labour and production efficiency.

B. Intelligent control and inspection methods: The seamless coordination from design, incoming materials, production, inspection, shipment, and other links allows for the ability to identify poor product quality almost instantaneously. Regardless of the process, whether it is in the punch, curing, internal coating, primer, printing, capping, tail glue, or packaging, a problem can be found quickly, and the issue can be resolved in time to prevent any flawed product from entering the next process. This ability results in the marked improvement of product quality.

C. Real information sharing: Integrating resource availability among enterprises, implementing collaborative innovation in various industrial chain links, and promoting the optimal allocation of manufacturing resources and manufacturing capabilities, improves the overall labour productivity and product quality.

D. The resulting transparency promotes trust: The collection and integration of information and the statistics and analysis of that information can not only allow managers to make better decisions, but also allow parties to share information with relative trust. 

E. Benefits for consumers and government: Improved efficiency and reduced costs directly benefit consumers, who can enjoy high-quality product supply at lower prices. For popular products with a high consumption rate, the national tax collected is significant and benefits all.