AI in Manufacturing – Maximize SMT quality and process efficiency
The SMT stage in electronics manufacturing is the most complex one. High levels of automation are required as well as technical know-how. Success in the SMT process will insure: Reliable products High yield Manufacturing efficiency Failure to establish a good SMT process results in:…
The Impact of AI on Reducing Manufacturing Operational Costs
By optimizing manufacturing efficiency and reducing waste, Industry 4.0 has accelerated ROI and profitability. In 2021, the global smart manufacturing market was valued at USD 88.7 billion; by 2027 is projected to reach USD 228.2 billion with a CAGR of 18.5% from 2022 to 2027….
AI in manufacturing – Improving the dynamic production of distinct products
The AI manufacturing revolution provides a fundamental shift in the way companies run their production lines to optimize yields and maximize quality. In industries such as automotive, electronics and consumer products, AI in manufacturing has already proved successful in predictive maintenance, defect detection, yield optimization,…
Manufacturing in 2022: How AI will change it
The manufacturing industry is experiencing a wave of innovation thanks to artificial intelligence. After nearly two years of struggling with pandemic shutdowns, supply chain difficulties, and worker shortages, the AI revolution is just around the corner. It is estimated that by 2021, 20 percent of…
Factory Automation – Using AI to achieve amazing results
An automated factory infrastructure involves the incorporation of automation into the manufacturing process. As a result of this infrastructure, the manufacturing environment is characterized by its ability to produce or assemble goods mainly by machines, integrated assembly lines, sensors and robotic arms. Challenges in implementing…
