1. Unable to distinguish between intelligence and automation

Why distinguish and this? In many cases, traditional automation is already a 'red ocean', while intelligence is the 'blue ocean'.

Robots and unmanned factories can be intelligent or automated technologies. Many people cannot distinguish their differences. I can give a simple criterion to distinguish: can you play well without a network?

2. Unable to understand the relationship between technology and economic benefits

Many people blindly emphasize new technologies without studying the relationship between new technologies and economic benefits. This is also an inertia thinking: if it is traditional automation, this may be possible, but not in the era of intelligent manufacturing. Because this era emphasizes interconnectivity, only with interconnectivity can there be a 'blue ocean'. And the internet definitely involves organizations, processes, and interests. Can it be done without clarifying?

3. Confusing old and new

Many goals of intelligence have been proposed a long time ago; But the means and paths of implementation are new. It's not denying past goals, nor is it using old methods to achieve new goals. People who are confused will definitely use the method of "labeling" and wear new shoes to follow the old path.

4. Unable to clarify responsibility

The primary responsibility for intelligent manufacturing lies with the senior management of the company. Because intelligent manufacturing often involves innovation in strategic positioning, business models, and organizational structures. Under this premise, analyze whether there are better opportunities for value creation and whether intelligence is needed.

Technology serves these things. On the contrary, without the aforementioned innovations, intelligent manufacturing often just wears new shoes and follows the old path. Among them, if you think about it clearly, "not engaging in intelligent manufacturing" may also be a good option.

5. Not following the organization

From technology to economy, intelligent manufacturing needs to change many concepts and practices. We need to coordinate many departments and change many concepts. This may be an unprecedented challenge. Without organizational innovation, it is likely to be a dead end.

6. Changes in Technical Thinking

The digitization of intelligent manufacturing is not the digitization of automation. For IT technicians, they should view their technical activities as a "service" and deeply integrate IT thinking with business thinking. Process technicians should consider themselves as "knowledge" producers, rather than people who solve specific problems.