In the post-epidemic era, with the blessing of artificial intelligence, why is it more and more difficult for today's manufacturing industry?
In general, in the post-pandemic era, the challenges facing the manufacturing industry mainly focus on digital transformation, supply chain issues, and changes in market demand.
In terms of digital transformation, traditional manufacturing enterprises need to complete overall changes including workshop site management, energy management and control, smart factory, supply chain integration and optimization, logistics management system, and quality control closed loop. The manufacturing industry varies greatly, and there are generally problems such as low capital investment, poor data foundation, heavy automation, light digitalization, poor equipment networking and data collection foundation, and no visualization in the workshop. To achieve digital transformation, it is necessary to choose the right pace and method to promote reform according to local conditions.
In terms of supply chain issues, due to the impact of the epidemic, the supply chain of many manufacturing companies has been affected. How to ensure the stability and security of the supply chain has become an important issue that manufacturing enterprises need to solve.
In terms of changes in market demand, due to the impact of the epidemic, consumer demand has changed, with some products becoming more popular and others becoming less demanding. Manufacturing companies need to keep up with changes in market demand and adjust products and production plans in a timely manner to meet consumer demand.
To sum up, in the post-epidemic era, the challenges facing the manufacturing industry mainly focus on digital transformation, supply chain issues, and changes in market demand. Manufacturing companies need to proactively address these challenges to better cope with the impact of the pandemic.
