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How smart manufacturing is steadily transforming

2023/05/24


The sudden outbreak of the new crown epidemic in 2020 has restricted the movement of the labour force, coupled with the "labour shortage" in the domestic manufacturing industry, which has intensified year by year in recent years, the demographic dividend has caused low-end industries to rely on low-cost labour, while younger groups are no longer satisfied with the meagre income of traditional manufacturing workers. With the rapid development of mobile internet, they are seeking new occupations in demand such as couriers, riders and online taxi drivers. Labour is becoming more difficult to employ, and some enterprises with higher levels of automation and intelligence are able to quickly recover more than 80% of their production capacity and seize market opportunities, stimulating and accelerating the transformation process and investment power of automation, digitalisation and intelligence in manufacturing enterprises. 2020 applications such as industrial automation, network video conferencing and collaborative office have become explosive applications, and remote monitoring, data collection, intelligent logistics, MES/ MOM and other application markets grow significantly, and industrial software and BI applications continue to grow. At the same time, there has been a significant increase in the importance manufacturing companies place on planning and consulting services for digital transformation and smart manufacturing.

With the rapid control of the new crown epidemic in China and the introduction of the 14th Five-Year Plan, the vigorous promotion of new infrastructure and the implementation of the "double cycle" strategy for economic development, China's manufacturing industry has rebounded rapidly, with the manufacturing purchasing managers' index reaching 51.9% in December 2020, above the boom line for ten consecutive months, commercial vehicles, shipbuilding, containers, electronics, textiles and garments, toys, and even bicycles, among many other sectors, saw a spurt.

For factories that are still hesitant, under the pressure of labour and the guidance of policies such as the "new infrastructure", the way forward is becoming clear: with the support of technologies such as IoT and big data, the transformation and construction of traditional production lines through digitalisation will lead to further optimisation of production efficiency and costs.

This is not only a solution for local factories, but also a necessary change in production methods to promote the development of China's manufacturing industry.