The Electronic Industry Brain Subversively Enhances Business Data Interaction and Industrial Collaboration Efficiency

 

Huachen Intelligent Manufacturing's electronic industry brain consists of three core platforms:R&D Platform,

Procurement Platform, and Manufacturing Platform. Each platform is composed of two main components:

a data warehouse and a business engine. These platforms interact with external data and internal

applications through various API interfaces.

 

The data platform addresses the challenges of data aggregation and interaction across the company,

eliminating the previous data silos. It enables flexible access to R&D, procurement, and manufacturing

data, facilitating the shared value among different datasets. Data is stored in separate blocks within each

platform, ensuring that modifications in upper-layer applications do not affect data retention, thus providing

a high degree of flexibility.

 

 

Research and Development (R&D) Platform

 

 

• Aggregating a large number of standard solutions in fields such as consumer electronics,

communications, industrial control, and healthcare.

• Aggregating a large number of schematic symbol/PCB footprint/3D model designs for solution design.
• Aggregating a large number of schematic symbol/PCB footprint/3D model designs for chip components.

 

 

 

Procurement Center Platform

 

 

• Aggregate inventory, lead time, and price data from a large number of chip manufacturers,

​distributors, and stockists.

• Aggregate enterprise data from a large number of chip manufacturers, distributors, and

stockists for supplier evaluation and chip component data management.

• Aggregate chip component inventory and price data to generate optimal pricing algorithms

based on customer demand.

 

 

 

Manufacturing Center Platform

 

 

• Aggregate a large amount of material, equipment, production line, and product data for digital

twin-based production data management.

• Aggregate a large amount of material, equipment, production line, and product data for quality

control management in the inspection process.

• Aggregate a large amount of material, equipment, production line, and product data for research

and development data management in process modeling.

 

As business volume increases significantly, along with the increasing demands from various departments

and diversified business models, the number of applications will also increase. By accessing data from

the data center, applications can greatly save development costs and increase the speed of application

development iteration. The accumulation of business engines and logic rules in the data center also aligns

more with the company's data strategy, providing stronger support for the company's business rather than

just focusing on finding, cleaning, and calculating data. The data in the data center becomes more valuable.

 

In the entire digital system, data is no longer scattered, messy, and repetitive. These data can be monetized

through lightweight applications, presented in diversified and visual formats on the front end. Data will truly

integrate with business scenarios, and the electronic industry brain will revolutionize the efficiency of R&D,

procurement, and intelligent manufacturing, creating greater industrial value for customers.

 

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