Manufacture Intelligent Management

Explore NeoEdge Smart Manufacturing Success Stories to learn how the Edge Orchestration Platform enables quick integration of IT/OT data, optimizing production processes, improving equipment efficiency, and accelerating the transformation to smart factories, helping manufacturers reduce costs and increase efficiency.

Challenges in the Global Electronics Manufacturing Industry

Data Ownership and Information Security

Data applications must balance ownership and information security, as companies worry about the leakage or misuse of critical data, especially when it involves confidential production parameters. Additionally, with the rising risk of cyberattacks, ensuring data security and building trust are pivotal challenges in advancing smart manufacturing.

OT/IT Technology Integration

Smart manufacturing requires the integration of traditional industrial technologies with digital applications. Due to the diversity of suppliers, systems, and protocols, companies often face data incompatibility between equipment and platforms, making replication and adjustments challenging. This presents a significant bottleneck in driving digital transformation.

Talent Shortage

Smart manufacturing requires cross-disciplinary professionals with both industrial expertise and digital skills. However, the long training period and high turnover rates make it difficult for companies to quickly build teams, leading to delays in technology implementation or suboptimal results.

Capital Investment and Cost Pressure

The transformation to smart manufacturing involves equipment upgrades, software deployment, and ongoing maintenance, requiring substantial initial capital investment. This creates a significant barrier for small and medium-sized enterprises. Additionally, the pressure of long-term operating costs and return on investment impacts the pace of digital transformation.

Customer Success Stories

An electronic component manufacturer is integrating an on-site reporting system with Industrial IoT (IIoT) technology to enhance
production efficiency and product quality. By collecting and analyzing production parameters, they leverage Artificial Intelligence (AI) to identify the optimal
production parameters, reducing excessively high defect rates caused by manual adjustments. They have also established a data visualization system to present real-time production data, enhancing transparency and decision-making efficiency...

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